AI Agents for Excel Financial Modeling

Due to a riot occurring in response to an Executive Order that resulted in the closure of its factories, TAC sought relief from performance under the force majeure section of the Master Supply Agreement. Citing the attached case, Buyer asserts that TAC is not excused from performance. Is Buyer correct? Provide your response in here with the following: "Yes/No"; and brief explanation.

KVUE's cost of debt is updated to be the risk-free rate plus 100 basis points. Reply to me with KVUE's enterprise value, rounded to the nearest whole number in millions. Use the following situation to calculate the values: - Replace risk-free rate with the 10-year treasury rate as of 1/2/26 with beta at 0.75 - Replace risk-free rate with the 10-year treasury rate as of 1/2/26 with beta at 1.00 - Replace risk-free rate with the 30-year treasury rate as of 1/2/26 with beta at 0.75 - Replace risk-free rate with the 30-year treasury rate as of 1/2/26 with beta at 1.00

Update the base-case DCF model of KVUE with U.S. total equity risk premium of 4.33%, the risk free rate with the 5-Year Treasury rate and the KVUE Close share price on 2025-12-15. Let's measure the impact of an increase in tax rate by 4 percentage points (apply to 2025E-2029E and the WACC tax shield) and the decrease in terminal growth rate by 0.25 percentage points. Reply back to me, giving the updated enterprise value, equity value and implied share price, rounded to two decimal places. Express enterprise value and equity value in millions.

Use the DCF model, and make the following changes: - update net sales growth rate in 2029E to be the 2023A actual figure - update long-term growth rate to the 30-year treasury rate as of 1/2/26 minus 100 basis points Reply here with the terminal value. Round it to the nearest whole number in millions.

If you updated the long-term growth rate in the DCF model to be the percentage increase in CPI in 2025 from January 1, 2025 to November 1, 2025, what is the updated implied share price? Also, increase WACC by 60bps and update sales growth to 0.5% every year for the projection period to get your answer. Round it to two decimal places. Write out your answer here.

Please audit the financials of the smallest company in our Refined Comps table by market cap using only the IS, CFS, and BS from sec filings and data tools available to you. Report Adjusted EBITDA and EV in thousands of dollars. Report EV/EBITDA to two decimal points. Calculate the following, and report it back to me with a message here: - Adjusted TTM EBITDA including SBC addback - Adjusted TTM EBITDA excluding SBC addback - EV as of 12/17/25 (use basic weighted-average shares from the latest 10-Q and include all lease liabilities) - EV / adjusted TTM EBITDA (incl SBC) - EV / adjusted TTM EBITDA (excl SBC) Note: Adjusted EBITDA defined as operating income and cash-flow non-cash addbacks, excluding non-cash operating lease cost.

Reply back to me with the following values: - Implied share price. - Enterprise value - % weight of PV of terminal value in the total new EV. To get to the right answer, update the WACC calculation in the DCF model: replace the risk-free rate with the 5-year Treasury rate as of Dec 15, 2025, and use 4.33% as the total equity risk premium for the United States of America. Then, apply the following changes for the forecast years 2025E-2029E: reduce the operating margin by 2 percentage points in each forecast year, set the yearly revenue growth rate to 1.22% in each forecast year, and set CAPEX equal to D&A in each forecast year. Keep everything else the same. When you reply, round the values to two decimal places, express in $millions.

Please calculate the implied premium / discount of the offer price as proposed to the client relative to the following KVUE share prices, using the values up to 12/08/2025: - Closing price on the final day - 52 week high closing price - 52 week low closing price - last 30 trading day VWAP - last 90 trading day VWAP Report percentages to one decimal place. Use unadjusted prices and calculate VWAP based on the daily closing prices. All dates are in MM/DD/YYYY format. Reply back with your answer here.

Reply back to me with the P/E ratio for KVUE, rounded to two decimal points. Use the implied share price in the DCF model and diluted EPS from the annual financials dated 12/23/2025.

From the figures in merger model, please recalculate the stock portion of the offering price (exchange ratio with 5 decimals) using Kimberly-Clark unadjusted closing share price at 31 Oct 25, and then derive the deal implied Kenvue market price per share at 16 Dec 25. What are the dollar spreads of Kenvue's unadjusted closing price (16 Dec 25) relative to this implied price? Print your final answer to me here. Give it to me as dollars and cents.

Calculate the unlevered beta for Haleon (HLN) using Total Debt and Market Capitalization as of the end of FY2024. Assume 0.227 levered beta for HLN and a 21% Tax rate. Using the unlevered beta for HLN computed above, and the debt and equity values in the model, re-leverage the Beta for Kenvue and update the WACC with the new Re-levered Beta. Reply back with a message, giving the following results: - the New WACC - the New Implied Share Price. - the Variance in $ for Share Price (New-Original) Round all outputs to two decimal places.

Update the DCF model to tell us the following: - Assume operating margin % from 2025E-2029E is updated to KVUE's 2019 operating margin plus 50 basis points - Add 25 basis points to terminal growth rate I want to know the implied share price, rounded to two decimal places. Can you tell me here?

Update the DCF model with the following changes - tax rate for the entire projection period (2025E-2029E) and the WACC build is now the implied tax rate from the second quarter of 2023, calculated as income tax expense over revenue, plus 10% - update beta to 1 - assume revenue growth rate in the projection period matches that of 2024A plus 75 basis points. - update terminal growth rate to be equal to the updated monthly revenue growth rate plus 50 basis points - assume final gross debt is increased by 50% and cash balance is now 10% of the absolute increased gross debt number What is equity value in millions rounded to the nearest whole number? Print your answer back to me as a short message.

In a hypothetical acquisition of Kenvue by Kimberly Clark (merger), at what Kimberly Clark share price would accretion for Pro Forma 2025 EPS for the combined company (Kenvue and Kimberly Clark) would be exactly 0.00%? Assume KVUE' share price before applying a premium is the average closing daily price between 1/1/2025 and 06/30/2025. All other assumptions in the base merger model should not be changed. Return your result as a message, give it in dollars with 2 decimal places.

Take the average close price for KVUE for the week of 12/15/2025 to 12/19/2025, apply a 10% premium, and input that figure in the DCF model. Re-calculate both the 1) cost of equity and 2) after-tax cost of debt. Output your answer as a reply here, rounded to two decimal points.

Replace the risk-free rate in the DCF model with the average of the 10 year and 20 year treasury rates as of 12/22/2025, and assume that the cost of debt is this average value plus 150 basis points. Finally, assume that the tax rate is revised up by 50 basis points for the projection period. What is the absolute difference in terminal value in the original calculation and this updated one? Output your result as a reply here, with millions rounded to two decimal places.

Please get the most recent financial year’s EV/FCF multiples (cutoff date 20 Dec 2025) for the public comparables, as per the slides deck, to calculate a cleaned average using the Modified z-score (Median + MAD) approach, with cutoff = 3.0 for outliers (use the standard scaling constant). Then, use this average as exit multiple to calculate terminal value (TV) and baseline EV for Kenvue. What is the implied share price and the difference relative to the initial implied share price as per the DCF model? For final answers, round TV and EV in nearest million, share price and multiples to two decimal places. Carry full precision for intermediate calculations. Print your answer to me here.

Update KVUE's share price to the closing price as of 1/5/26 and 2029E revenue growth rate to that of 2025E. What is discounted free cash flow in 2029E, including terminal value, rounded to the nearest whole number in millions? I want you to reply with your findings in here. To get the right answer, in the WACC build, assume that KVUE is able to refinance its outstanding debt to the following interest rates: - anything 2030 and shorter is the 5 year treasury rate as of 1/5/26 plus 50 basis points - anything 2033 and longer is the 10 year treasury rate as of 1/5/26 plus 50 basis points

Please run an upside DCF scenario for Kenvue assuming slightly better revenue growth and margins changing the following metrics: 1. Revise 2025E revenue growth rate to 2% stepping up by 0.1% per year until 2029E. 2. Increase existing 2025E – 2029E operating margins by 0.1%. 3. Increase D&A as a % of Net Sales by 0.1% in 2025E, and hold the resulting value flat for 2026E–2029E 4. Increase Operating Current Assets as % of Net Sales in 2025E to 2024A + 0.1% stepping up by 0.1% per year until 2029E. 5. Increase Operating Current Liabilities as % of Net Sales in 2025E to 2024A +0.1% stepping up by 0.1% per year until 2029E. Revise the following financial metrics: 6. Update the WACC calculation in the DCF model by using the 10-year Treasury rate as of Dec 12, 2025 7. Reduce the cost of debt by 0.1%. 8. Add 0.1% to the terminal growth rate. Output the following 1. The revised WACC incorporating the above changes. 2. Difference in the sum of unlevered free cash flow from 2025E – 2029E between the model with the above changes and the original model 3. Difference in terminal value between the model with the above changes and the original model 4. Difference in enterprise value between the model with the above changes and the original model 5. % change in enterprise value between the model with the above changes and the original model 6. Revised implied share price in the model with the above changes 7. % change in revised implied share price between the model with the above changes and the original model Round the implied share price and % values to 2 decimal places and all other values to 0 decimal places. Reply to me with your answer here.

Calculate the NPV from the 12-year cash flow on renewable enablement benefits, considering the following assumptions: - The steady-state annual benefits from renewable enablement mentioned in the business case represent the annual renewables revenue for year 1, which then grows at a rate of 10% during each of the next 11 years. - The OPEX is provided in the attached slide deck. - Assume an 8% annual discount rate, and no discount in the 1st year. State the final NPV in billions with two decimal places here as a message here

Can you calculate the annual EU implied revenue for each Eastern European TSO? Use the midpoint of their implied market share ranges and 40 billion euros as the total market size. Using the implied revenue, calculate the EU renewable revenue for each TSO and for EuroGrid. Please refer to the attached file for the % share of renewables. As an output, create a *NEW SLIDE DECK*, containing a) EU renewables revenue for top two TSOs by renewable revenue and for EuroGrid (in $B, rounded to nearest $0.1B), and b) a statement of the amount of EU renewables revenue required for EuroGrid to achieve 60% market share in a market composed only of EuroGrid and the Eastern European TSOs (in $B, rounded to the nearest $0.1B). Do not round calculation steps. Use 1 Euro = 1.2 USD for currency conversion.

Identify the Phase 1 Assets from the 10 Year Roadmap, assuming that SAIFI / SAIDI hotspots can be defined as assets having SAIFI > 1.0 and SAIDI > 60. Ignore the key criteria for substations and the note on rising corrective maintenance trends. Utilizing the registry, asset financial model, and risk matrix, provide (1) the total count of identified assets and (2) the total NPV. Report total NPV in millions rounded to 2 decimals. Reply straight here only.

Assuming Eurogrid goes through with the labor reallocation efforts described in the operational efficiency analysis, calculate both the % of total staff that is a manager and the average span of control across all departments (excluding IT & Digital Systems). Use the following pre-allocation manager shares: Grid Operations & Control Center (20%), Field Maintenance & Construction (15%), Asset Management & Planning (15%), Tech (10%), and Other corporate functions (25%). Assume % of managers is the same in both the department that is being re-allocated and the proportion of FTE being re-allocated. Assume all FTE reallocation goes into the IT & Digital Systems department. Round all headcount figures down to the nearest integer in your calculations. Round responses to two decimal places. Provide all your answers directly in here.

Please use EuroGrid's headcount per department and the attached benchmarks to calculate the estimated total cost of each of the departments' headcount. Round all final amounts to full USD. Provide your answer as a message here, listing the departments and the total cost in USD for each.

Looking only at projects in the Connection Queue that have a status of "Approved" or "Connected", calculate the percentage of the Total Forecasted Demand for the years 2026, 2027, and 2028 that could be covered by these renewable energy projects. Our focus here is only the Netherlands. Use the data from the renewables and load forecast. Assume the percentages will be cumulative year over year and that renewables capacity is available in the full connection year and in all subsequent years (ignore 2025 connections and use 2026 as the base year). Round your final answers to whole percentages. Print your response to me here.

Please calculate how much Germany's and Netherlands' renewables pipelines (will be only 95%) will cover out of their total yearly loads in 2027 and 2028 in % terms. You can use their average historical total load data as the estimate for future needs. Output the year and coverage percentage. Return it as a short message to me here. Round the final percentage values to 0.01%.

Using the Digital Twin Input and Additional bus datasets, identify the Bus IDs associated with renewable energy generation. For each of these Bus IDs, calculate the average (in GW) of their three highest load values. Based on these averages, shortlist the top 2. Round to 3 places. Give the answers here.

Can you use the Amensa scenario model and provide the revised 2024 operating income for each project after adjusting their R&D spend for the year? Assume all the other variables remain the same. Use the upper value of the solid bar in the 2024 R&D candlestick chart from the attached file as the adjusted R&D spend. Round all final answers to 1 decimal place, i.e., $0.1B. Please provide your answers in a New spreadsheet.

Hi, can you calculate the estimated size of all Frontier's business units in 2035? You might need to conduct growth forecasting to assess the overall size of the markets they operate in by 2035. Let's assume the growth rate and market share will remain constant until 2035. Also, calculate the expected profit for each business unit. Round all final answers to two decimal places. Where ranges are provided, use the mid-point of the provided values. Print out the answers here.

We have conducted surveys across 3 emerging markets - EM 1, EM 2, and EM 3 to establish market potential for solar systems. 1) Based on the survey-related documents for EM1, report the percentage of small businesses that don't use solar systems in EM1 2) There were errors in the responses we received for EM1. The agency has shared an updated responses sheet that captures the correct responses for users where there was an error. Keep the original information in case the cell is blank. Also, there might be new users in this sheet. Add those users to the original file. What percentage of small businesses don't use solar systems in EM1 after accounting for this new information? Return your answers as a message here. Round all percentage values to two decimal places.

New assessment framework and business unit / project ratings came in. Please use the updates to figure out the scores for each strategic option for the Skylink project as well as its final recommended path. And remember, use the worst case scenario when attempting to translate the updated framework to a quantitative value. Return the values printed out here. Now.

Calculate the change in the chances of success for each of the frontier business units. Use the formula 0.25 × the sum of all operational constraints. The numerical values of the operational constraints are available in the attached file. Please provide your answer right here. Round all final answers to 2 decimal places, i.e., 0.01%

I need to compare our results from the autonomous vehicle survey and the survey questionnaire against the attached 2025 launch targets. For these three metrics, calculate the percentage points gap between what we measured and our target: 1) What percentage of European respondents expect AVs to go mainstream within the next 5 years (inclusive of 5 years), compared to our Europe target? 2) What share of total global respondents would pay over $100 per month for AV subscriptions versus our $100+ tier target? 3) What is our high-trust percentage (scores of 4-5) compared to the consumer trust target? Please provide each answer as a reply to me in here, rounded to whole numbers.

Evaluate the maximum total potential liability for Star Tankers International Ltd. compared to Cooper/Jeffries Energy Corporation under the Oil Pollution Act for the incident with the M/V Red Room. Draft a message to me here, stating which entity has a greater liability if found to be the sole responsible party for the incident with the M/V Red Room. Calculate and include the potential maximum liability for each party. Give the values in 100s. Use the BLPL Claim Summary, the relevant legal authority, and the Hull and Machinery Survey for your analysis.

I don't have a copy of our policy for Marine Pollution Legal Liability insurance, but it is identical to the draft terms we have in our files. Our insurer assured us that the 180,000 gallon crude oil discharge from the M/V Red Room wreck was covered under Article II Section 5, but we haven't asked them about the 1,4-dioxane detergent leak. Immediately after the shipwreck, crew discovered that a 1,000 gallon container on deck had sprung a leak. The crew had put a patch on the leak immediately after discovering it. The crew and emergency staff that were sent to assist focused their full efforts on addressing the crude oil leak. After the oil leak was contained, 4 days after the wreck, the crew went back to re-inspect the container and discovered it was almost empty, as the patch had failed. Will the same section of the insurance policy also cover liability for the detergent discharge? Reply to me with your answer right here. Give me a yes, no, likely yes, or likely no.

I want to forecast total annual revenue for ServiceNow based on the competition's price benchmarking information available to us. For this analysis, calculate revenue for each of their tier/plan (like ITIL User (Base), ITOM Module etc.) based on the attached information. Optimal price multiplier refers to the percentage points above the minimum price point where the tier/plan will be priced. Report total forecast revenue in $m, rounded to one decimal place. Print your response here.

Can you use the files on Deal Win Rate Target and the transaction history in Brightpath Deal Transactions to determine the Implied Deal Volume required to reach the Expansion target share of revenue for the 'Upper Mid-Market' segment? Apply the target expansion share from the Target Revenue Mix Strategy to the segment's total realized revenue in the deal transactions dataset (from "Won" deals only), to get the specific number of deals the sales team must close, based on the actual average size of an Upper Mid-Market Won expansion deal. Also, calculate the Required Pipeline Capacity for the 'Europe - Enterprise' sector, assuming the target ARR is equal to the sum of all "Won" deals in the Enterprise segment in Europe in the dataset, and assuming the sales team achieves the Target Win Rate for Europe Enterprise deals. Round numeric outputs to the nearest whole number and round currency outputs to the nearest dollar. Return your findings as a message to me here.

Using Brightpath's Discount Approval Logs, review each approver’s total score and rank. Reply to me with a short message here, outlining your findings. Scores are determined using four criteria: 1. Violated Policy Threshold: Score 1 goes to the approver with the most deals exceeding the policy threshold; score 4 goes to the fewest. Scores 2–3 follow their ranking. 2. Negotiation-Based Discounts: Score 1 for approving the most negotiation-driven deals exceeding the threshold; score 4 for the fewest. Scores 2–3 follow. 3. Pilot-Program Discounts: Same logic as in #1, scoring based on deals exceeding the threshold due to pilot-program discounts. 4. Level of Approval: Score 1 for approving the fewest CFO-level deals within policy; score 4 for the most. Scores 2–3 follow. Notes: - Round all scores to the nearest whole number. - Ties receive the same score (e.g., both highest = 1, both fewest = 4, middle = 2). - For ties in total score, use Director-level approval counts from criterion (4) as the tiebreaker.

Can you use the feature usage file and identify the average adoption rate percentage, average monthly usage, and average retention impact score for each tier except Team? Print the output for me here.

We need to redo the analysis of the new survey response dataset. Can you re-calculate the standard deviation for Brightpath Software's efficiency dataset? Using both the recalculated average efficiency score for Brightpath Software (by all Brightpath users) and the average efficiency score for Brightpath Software by only Brightpath users who ranked AI capabilities as top priority, please also calculate the fraction of a standard deviation that the two scores differ by. Round all final answers to four decimal places. State the output directly to me here as a reply.

Refer to the latest (v1.0) customer segmentation data and the final pricing model. Calculate the % change of Customer Segmentation expected revenue (use target customers and average ARR for the pricing) relative to Configuration A expected revenue (use target customers and effective pricing) for each segment. Account for churn in both scenarios based on each scenario's respective data source. Reply with your results here, with final numbers rounded to the nearest 0.01%.

Using the latest pricing version, the revenue data by segment, and the discount approval logs, determine the average discount percentage for each of the Business and Growth tiers separately (use the midpoint of the Company Size range as the user count). Then, calculate the %variance of each tier's discount relative to its average policy threshold. Provide the discount for each tier (rounded to the nearest 0.01%) as well as the variance from policy threshold (rounded to the nearest 0.01%) directly here as a reply.

For 2024 Won/Upsold deals with NCV ≥ 50k, determine the policy-friction risk per deal as NCV × Discount × tier multiplier × tier PFI, where tier PFI is the benchmark mix-weighted sum of Software Customer User Satisfaction Survey Results. After you rank the regions by the total policy-friction risk, please give me the top 3 regions and their respective total policy friction risk (in $M, rounded to three decimal places) in any order. Refer to the following three files: 1) Deal Transactions sheet, 2) the Customer User Satisfaction Survey Results chart in the software pricing trends doc, and 3) the attached policy mix and multiplier charts. Give me your answers as a reply right here.

Use the churn and WinLoss data, and assume the following: - Competitor Loss Ratio = (Total Contract Value of Lost deals/Total Contract Value of all deals) - If competitor-lost deal value exceeds the retained renewal ARR for that tier: Increase the churned ARR for that tier by 15% - If retained renewal ARR exceeds competitor-lost deal value: Reduce the competitor-lost contract value by 50% - Severity Score = Adjusted Competitor Pressure + (Adjusted Churn Rate x (Adjusted Competitor Lost Value/ Original ARR)) - Competitive Exposure Multiplier = Highest Severity Score ÷ Adjusted Competitor Pressure of that tier - Scenario Sensitivity Factor = Highest Severity Score * (Adjusted Competitor Pressure + Adjusted Churn Rate) Answer the following questions: 1. Which pricing tier has the highest severity score? 2. What is the highest severity score? 3. For the tier identified with the highest severity score, what is the single most frequent competitor appearing in lost deals? (If multiple competitors, return the alphabetically first) 4. For the tier identified with the highest severity score, calculate the Severity Score to Adjusted Churn Rate ratio 5. For the tier identified with the highest severity score, calculate the Competitive Exposure Multiplier? 6. For the tier identified with the highest severity score, calculate the Scenario Sensitivity Factor? Return the responses to the questions right here as a message. Round all final outputs to 2 decimal places.

Using the estimated market share chart and Brightpath customer segmentation, please calculate the potential revenue for the SMB Accounting segment if it achieved the target share. Include an analysis stating the percentage point difference (rounded down) between Target and Actual Enterprise share for Consulting Firms and the revenue gap (to the nearest dollar) for Mid-Market IT Services. Return your findings in a short message here

Using the discount approval logs and the KPI chart, I'd like to get one number that tells me how risky our discounting behavior is right now. Looking at deals where the final approved discount exceeded policy, classify the severity using the chart, apply the risk sensitivity, and calculate the revenue exposure. Assume Policy Breach % is the difference between final approved discount and the policy threshold. Return to me a message with the Policy Breach Stress Index (rounded to 2 decimal places), which is the average revenue at risk per policy-breaching deal.

I would like to analyze the current proportion of Brightpath Churn and Annual Recurring Revenue. 1. Based on the ARR from the discount approval file and the Churned ARR from customer segmentation file, calculate the required reduction in $ in Churned ARR for every Pricing Tier whose current Churned ARR proportion exceeds 0.5% of its Overall ARR, so that the proportion for that tier is reduced to exactly 0.5%. 2. Calculate the number of additional deals (each valued at the average ARR per deal from discount approval report) required to meet a target of 0.5% Churned ARR as a percentage of total ARR. Print your response here. Round final dollar amounts to the nearest whole dollar. Round the number of deals up to the nearest whole number.

Using the latest renewal / churn data (v1.0) and pricing log, identify the average seat changes (increase or decrease) by Brightpath customers from every renewal with seat changes. When doing the calculation, change v4.2 pricing effective start date year to 2023 and make use of monthly price per user to calculate the seat changes. Present your result, printing it right in here to the nearest 0.01.

Use the baseline seat utilization data against the attached 2025 strategic targets for the following two metrics. 1) What is the Seat Purchased Surplus (Actual Seats minus Target Seats) for the Medium utilization band in the Enterprise tier? 2) What is the difference in percentage points between the Target High (>80%) share for the Business tier and the Actual share? Please provide both answers as a reply here, rounded to the nearest whole number.

Using the REIT model, consider the following assumptions for the projected period between 2025 to 2029: 1) Assume the revenue growth for its service business equivalent to the overall company revenue growth 2) Assume that the EBITDA margin for the service business is 5 percentage points higher than the company EBITDA margin during the same forecast period 3) Assume depreciation equivalent to 2% of the annual revenues 4) Assume capex equal to 3% of the annual revenue 5) Assume investment in working capital equal to 1.5% of the annual revenue 6) Assume the effective tax rate is equal to 21% 7) Assume that the spin-off is done on a debt free, cash free basis 8) Assume the valuation date as of December 31, 2024 9) Assume a cost of equity of 12% and a terminal growth rate of 1% post the projected period. Compute the levered free cash flows and the implied equity value of its service business. Round all the values up to two decimals: - Cumulative Levered Free Cash Flows (2025 - 2029) - Terminal Value - Equity Value of the service business Reply here.

Perform a DCF analysis for Golden Everest using the REIT model with the following parameters: - Hold EBITDA margin constant at 42% throughout the projection period - Hold Capex % of Revenue constant at 22% throughout the projection period - Assume a WACC of 9% - Assume Terminal Value is equal to 11 times final projection year EBITDA - Assume Net Debt is as given for 2024A - End-of-year discounting (not mid-year convention) Give me your reply showing the Golden Everest Equity Value in $ millions, rounded to the nearest million.

Using the REIT model re-calculate the Implied REIT Price Per Share using the the 25th Percentile EV/EBITDA and 2025E Revenue Growth percentage of 5%. Return to me right here the price in $ for the same case used in the Executive Summary tab. Round to 2 decimal points.

Forecast operational expenses are impacted by a rising inflation of 2% in the REIT model. The increase is able to be passed on only for Services revenues. Assume the proportion of operating expenses deriving from Service revenue is equal to its proportion of total revenue in 2024. Calculate the inflation-adjusted enterprise value and target share price in 2025 for Golden Everest based on REIT industry capitalization rate of 5.5%. Print the answer here. Present monetary values in $ million rounded to nearest whole number, and share prices in $ to 2 decimal places.

Calculate which data center company in the peer group has generated the strongest revenue growth, and highest Adjusted EBITDA margins over 2022-2024. 1. Only analyze the period of 2022-2024 2. Rank each company in the peer group on their revenue growth from 2021-2024 (CAGR) 3. Rank each company in the peer group on their EBITDA margin 4. The company with the highest average ranking of the two metrics is considered the strongest, if there is a tie, the company with the largest increase in EBITDA margin (absolute percentage point increase from 2022 to 2024) is considered stronger 5. Adjusted EBITDA should be calculated by taking net income and adding back income taxes, interest expense, depreciation and amortization 6. Three companies should be analyzed: American Tower, Equinix, Digital Realty 7. For American Tower, only utilize financials from the data center portion of the business from 2022-2024 for calculations Tell me the strongest company; and return the averages of all the companies for: 1. annualized revenue growth, 2. average Adjusted EBITDA Margin, and 3. adjusted EBITDA margin increase. All percentages should be rounded to 2 decimal places. Print the answer here.

In the existing sheet for the REIT model, create a sensitivity table for 2029E Net Income. Show Revenue Growth Step-up at 50 basis points and 100 basis points. Show EBITDA Margin Step-up at 20 basis points and 40 basis points. Round all final numbers to the nearest million. To calculate the correct values, assume that revenue growth in 2025E starts at 8.0% and increases by the same amount every year of the projection period, referred to as the "Revenue Growth Step-up". Assume that EBITDA Margin % starts at 44.0% and increases by the same amount every year of the projection period, referred to as the "EBITDA Margin Step-up".

Using the 'Projections (C-Corp)' tab in Golden_Everest_REIT_Analysis compute the Net Income for 2029E given the following scenario: - Assume tax rates are 15.0% for 2025E through 2029E - If net income exceeds $1,300M in a given year, update the revenue growth % for all subsequent years. - Use the average of the growth rates shown on the "Projected Financials" slide in the Project_Titan_Presentation v3.pptx file. Compare the 2029E Net Income computed for the above scenario to the original 2029E Net Income by providing each Net Income figure and their dollar difference. Present in $M and round to nearest whole number. Write back your answers as a message.

Calculate the price per share that a strategic buyer would need to offer for Golden Everest to consider an acquisition instead of a REIT conversion. Reply to me here with the minimum required share price. Round all final numbers to two decimal places. I want the 2027 expected share price discounted to 11/21/2025 (18 months) for “C-Corp Low”, “C-Corp Mid”, “C-Corp High”, “REIT Low”, “REIT Mid”, and “REIT High”. Assumptions: 1. It will take 18 months post REIT conversion for the stock to appreciate to fair value, assuming mid-2027 for this process to complete. 2. The discount rate is 4%. 3. Use the low, mid, and high multiples found in the model. 4. Assume the price needed to consider the acquisition is 10% above the valuation for the REIT using the mid multiple. 5. Reference 2025E EV/EBITDA multiples for C-Corp and REIT conversion, and pull 2027E EBITDA values from the model.

Calculate Unlevered Free Cash Flow in 2025E, 2026E, 2027E, 2028E and 2029E. In the Golden Everest Financial Model, there is an error in the unlevered free cash flow build in the Projections, "Projections (C-Corp)", tab. Please use the correct formula to calculate Unlevered Free Cash Flow based on the Projections. Additionally, use the following assumptions: - Change in Working Capital: -1.0% of Revenues between 2025E and 2029E - D&A: 11.50% of Revenues in 2025E and 12.0% of Revenues from 2026E through 2029E - Capex: 24.0% of Revenues in 2025E, 22.0% of Revenues in 2026E, 21.0% of Revenues in 2027E, and 20% of Revenues in 2028E and 2029E Round output financial figures to 2 decimal points. $ must be in millions. Give me your response as a reply right here.

Model out the NPV of distributions shareholders would receive under REIT conversion. - There's the $1.2 billion E&P purge that gets taxed as ordinary income at 37% (E&P purge occurs at Year 0, annual distributions occur at end of Years 1–5). - There are ongoing REIT dividends in the $650-750mm range that qualify for the 20% Section 199A deduction. - Apply 199A only to annual REIT distributions; do not apply 199A to the E&P purge (tax purge at 37%). - Run sensitivities across 10%, and 12% discount rates over a 5-year horizon. Show discount rates vs distribution levels, populated with respective after-tax NPV per share. Then, show me the base case NPV as a percentage of both the strategic offer and current trading price. Round NPV per share to 2 decimal places. Round percentages to 1 decimal place. Create an xlsx that has all of your results.

Golden Everest's management team plans to issue a 10-year debenture of $3,000 million at an interest rate of 5% at the end of 2025E. Use the REIT model to model Golden Everest's year-end cash balances in 2025E, 2026E, and 2027E under C-Corp, no change in the dividend policy with the debenture. Additionally, model Golden Everest's year-end cash balances in 2025E, 2026E, and 2027E under the REIT structure and with the debenture. Assume under the REIT structure, management decides to distribute 92.5% of net income as a dividend. Write a message to me, explaining the following: - Golden Everest's year-end cash balances in 2025E, 2026E, and 2027E under C-corp structure. - Golden Everest's year-end cash balances in 2025E, 2026E, and 2027E under REIT structure. Present monetary values in $ million rounded to nearest whole number.

Calculate the weighted average cost of capital (WACC) for Golden Everest. Write back your reply, accounting for the following: - Utilize the REIT structure mid case scenario for 2025E in the model. - Presume the REIT pays 90% of its taxable income. - Use the REIT's net debt level, instead of gross debt for WACC calculations, and presume the interest rate stays the same as the C-corp. - The corporate tax rate is 15% for both C-corp and REIT. - State the weighted average cost of capital as a percentage, round to 2 decimal places.

Using the REIT model, recalculate the fair value of Golden Everest with C-Corp status using a three-stage unlevered DCF. For Stage 1, use the unlevered cash flows from 2025E to 2029E on the “Projections (C-Corp)” tab. Assume the valuation date is December 1, 2025 and use the midyear adjustment approach for Stage 1, which assumes CFs are generated halfway through each period rather than at period-end for any partial periods. For Stage 2, grow unlevered FCF at a 5% annual pace for 12 years until 2041). For stage 3, use a perpetuity growth rate of 1%. Assume WACC is 11%. For present value calculations, use a 365 day count. Get me back (1) present value of stage 1 cash flows; (2) present value of stage 2 cash flows; (3) present value of terminal value; and (4) equity value per share. State all values in millions and rounded to the nearest whole number, except equity value per share, which you should show in dollars and cents. Print your reply here.

Edit the Valuation Summary tab of the REIT model, showing the implied upside/downside percentage for the Mid case of Scenario 1: Current Valuation. - EV/EBITDA multiple: use 50% and 55% of the average multiple for Data Center REITs on the Comparable Companies tab, excluding the highest and lowest companies by market cap. - Current trading price: two columns as 10% and 20% higher than the Strategic Offer share price. Assume revenue growth % is now 9% and EBITDA Margin % is now 41% for the entirety of the projection period and use 2029E EBITDA instead of 2025E EBITDA in the Mid case of Scenario 1: Current Valuation. Round to the nearest two decimal points.

I want the Output Levered FCF for 2029E, rounded to the nearest million. - Revenue growth: starts at 7.0% and increases by 0.5% per year in the projection period - EBITDA margin %: starts at 44.0% and increases by 0.1% per year in the projection period - Capex % of revenue: starts at 23.0% and decreases by 0.5% per year in the projection period - Tax rate: 20.0% every year of the projection period Use the Projections (C-Corp) tab in the REIT model. Give me the answer right back here.

Using the information in the REIT model, create a new sheet: - Re-run the Scenario3: REIT Conversion analysis in sheet "Valuation Summary" using FFO multiples in place of the current EBITDA multiples - Run a low case using Iron Mountain's FFO multiple - Run a High case using Digital Realty's FFO multiple Tell me this info for Low and High cases: - REIT Equity Value ($mm) - Implied REIT Price Per Share - Premium to Current Share price of $42.50 as of 11/21/25 Calculate Golden Everest's 2025E FFO metric by using Digital Realty's implied FFO value (from the information within the "Comparable Companies" tab ) as % of LQA Adjusted EBITDA for the period QE 3/31/2023 within the investor presentation Format all outputs as follows: - Round all dollar figures to 1 decimal place in millions ($m) and express in "$X.X" format - Round all percentages to 1 decimal place - Share price should be to two decimal places

For each year, calculate Levered FCF less Dividends Paid. Assuming a 9% discount rate, output the net present value (NPV) of Levered FCF less Dividends Paid over the projection period, rounded to a full million. Refer to REIT model and adjust Golden Everest Base Case Projections (C-Corp Status) as follows: - Hold Capex % of Revenue constant at 22% over the projection period - Assume Dividend per Share is fixed at 1.60 in 2025E, increasing 0.40 per year over the projection period. Print your answer to me here via a short message.

Using the REIT model, assess the downside REIT scenario for Golden Everest if data center REIT multiples compress 30% during a longer than expected conversion period of 12 months. Reply to me in here with a message which states the expected price in 12 months of Golden Everest in this downside scenario and the expected total return of the stock over that period. Round all numbers to 2 decimal points. Assumptions: 1. Stock price will be calculated off of 2026 expected earnings 2. Dividends are not re-invested 3. Only half of the REIT premium (post-compression) vs C-Corps will be realized over the 12 months 4. No change in net debt

Reply back to me an updated IRR and MOIC. Round final numbers to two decimal places. Use the LBO and comps models to complete the analysis. Follow these assumptions: 1. Remove any comps with Enterprise Value/EBITDA multiples that are negative or greater than 4 times the current median. 2. Calculate the new median EV/EBITDA multiple and use that value +10.00x to replace the exit multiple on the 'LBO' tab of the LBO model 3. Update the senior debt amount on the 'LBO' tab to the minimum EV/Revenue multiple on the comps document

Return the Year 1 - Year 5 CAGR for Adjusted EBITDA. Round to two decimal places and display percentages with %. Write your answer straight back. I want you to use this info to update values in the LBO model: 1. Year 2 revenue growth rate increases 50 bps vs original case 2. Cost of revenue for 'subscription' increases by 15% YoY from Year 4 to Year 5

Make adjustments to the Year 5 growth rate to reach the following Year 1 - Year 5 CAGR for Total Revenue: 22%. Use the LBO model to complete the analysis, but just reply right here. Round value to one decimal place. Make these changes: 1. Year 1 revenue growth rate increases by 188 bps 2. Year 5 revenue growth rate increase by 1/8 the current % premium

Please use the LBO model to calculate the sponsor equity value and IRR for Year 5. Then report the sponsor equity value in US dollars, rounded to the nearest million (e.g., $1,000). Also, report the IRR as a percentage rounded to one decimal place. Send me your reply here. Follow these steps: - Increase the Senior Debt leverage to 6.0x from 5.0x. - Decrease the Senior Debt interest rate to 6.0% from 7.5%. - Reflect mandatory annual amortization of the Senior Debt, calculated as 2.0% of the opening principal balance of 2,088.3. - Increase the Subordinated Debt leverage to 2.0x from 1.5x. - Decrease the Subordinated Debt interest rate to 8.0% from 10.0%.

Please assess the impact of reducing the entry premium by 5% and illustrate the potential impact on the deal return. Use the LBO model. 1. Reduce the deal premium by 5%, from 35% to 30%. 2. Reduce the Exit Multiple from 35.0x to 34.0x. 3. Ensure all interest expense calculations are based on the average of the beginning and ending debt balance in the period. Report just the MOIC and IRR %, return it back here. All percentages and multiples must be rounded to two decimal places.

Please create a new scenario within the LBO model to assess the impact on Elastic’s Net Profit, assuming that for all years over the projection period (Year 1 to Year 5), Research and Development expenses margins are 10% higher and General and Administrative expenses margins are 2% higher. In the existing file, add a new tab and show values for "Net Profit" and "Net Profit Margin", across Year 1, Year 3, and Year 5. All monetary results must be displayed in USD millions, rounded to two decimal places, and all percentages must also be rounded to two decimal points.

Benchmark the results for Elastic NV Q2'FY26 (ending 10/31/2025) against their industry peers as reported in Public Comparables (for Q2). 1. Calculate the public comparables mean (average) for Market Cap, Enterprise Value, Enterprise Value/Revenue, and Enterprise Value/EBITDA 2. State the percent by which Elastic N.V. Underperformed or Overperformed its peers average across each valuation metric Constraints you MUST follow: 1. Express all multiples to two decimal places, and include 'x' after the second decimal 2. Express Market Cap and Enterprise Value as whole numbers 3. To manage large and extreme values, apply the following for the Public Comparables: 3a. Exclude Market Cap > $1 trillion in calculating the Market Cap average 3b. Exclude Enterprise Value > $1 trillion in calculating the Enterprise Value average 3c. Exclude Negative Multiples for Enterprise Value/Revenue and Enterprise Value/EBITDA 3d. Exclude Multiples > 200.00x for Enterprise Value/EBITDA Write your reply to me here with everything that I asked for.

Assess if the sponsor can still meet the 20% IRR target at the Year 5 exit, given higher cost of revenues. 1. Increase subscription cost as % of subscription revenues by 1 percentage point in Year 1, then keep it constant in the remaining projection years. 2. Increase services cost as % of services revenues by 1 percentage point in Year 1, then keep it constant in the remaining projection years. Add a new worksheet to the Elastic NV LBO model. It must show Net Debt at Exit, Sponsor Equity Value at Exit, IRR %. All monetary results to be displayed in USD millions, rounded to two decimal places, and all percentages must be rounded to two decimal points.

Assess how much certain business drivers must move to bring IRR below 20%. The stock price has fallen to $87.00. Use the LBO model for the info. 1. Find the critical point (percentages to 2 decimal places) for each of the below business drivers at which rounded IRR would be pushed down to 19.99% from above: a) 'Growth rate scale' (correct the approach for Year 1/2) b) 'Customer acquisition costs' c) 'R&D cost' d) 'Debt costs' e) 'EBITDA multiple' Assumptions and constraints: 1. EBITDA is not to fall below $91 million for any year. If this threshold is passed the new constraint becomes EBITDA for each individual year instead of the IRR. 2. 'Debt costs' should be set to 0% for all other sensitivities. Create a new sheet that shows values for the five major business drivers.

Please create a new scenario within the LBO model to assess if the sponsor can still meet the 20% IRR target at the Year 5 exit, given higher Net Working Capital needs. 1. Increase accounts receivable as % of sale by 2 percentage points value in Year 1, then keep it constant in the remaining projection years 2. Increase prepaid expenses and other current assets as % of sale by 2 percentage points in Year 1, then keep it constant in the remaining projection years. Output: Add a new worksheet to the LBO model titled “NWC Scenario”. Add the Net Debt at Exit, Sponsor Equity Value at Exit, IRR %. All monetary results must be displayed in USD millions, rounded to two decimal places, and all percentages must also be rounded to two decimal points.

Print out here the updated IRR and MOIC, rounded to two decimal places. Use the precedent transactions document and LBO model to complete the analysis. Assumptions: 1. Adjust the LBO model to have the premium % equal to Splunk Inc's revenue growth rate in the precedent transactions document 2. Adjust year 4 revenue growth in the LBO to New Relic, Inc's revenue growth rate in the precedent transactions document

Run a single downside scenario where all modeled sensitivity factors receive a 20% shock, in the direction that would adversely impact IRR. What would the new IRR & Sponsor Equity Value be? Use the LBO model to answer. In the operating assumptions, update the sensitivity shocks of the major business drivers, including: a) -20% 'Growth rate scale', total revenue growth for Elastic for years 1-5 b) 20% 'Customer acquisition costs', total sales and marketing costs for years 1-5 for Elastic c) 20% 'R&D cost', the costs for research and development that Elastic is expected to pay from year 1 to 5 in the future d) 20% 'Debt costs', the interest costs that Elastic would have to pay e) -20% 'EBITDA multiple', the exit multiple that is used in determining the exit valuation Output, in a NEW tab in the existing LBO model, values for “IRR (All factors shocked by 20%)” and “Sponsor Equity Value (All factors shocked by 20%)”. Round all values to two decimal places, and display monetary values in millions ($m). I also want you to give an assessment of whether further analysis is required, based on whether the downside loses money.

Please evaluate the impact on Elastic's IRR% at exit, assuming a slowdown in Total Revenues growth. Return the following here: Year 5 Adj. EBITDA, EV value at Exit, Net Debt at Exit, Sponsor Equity Value at Exit, Sponsor Equity Value at Entry, MOIC, and IRR %. use the LBO model. Respond with your answers straight back here. Use this for your work: 1. Decrease the existing Total Revenues growth rate in Year 3 by 5% of its original value in the base case (a 5% relative decrease). 2. Decrease the existing Total Revenues growth rate in Year 4 by 10% of its original value in the base case (a 10% relative decrease). 3. Decrease the existing Total Revenues growth rate in Year 5 by 15% of its original value in the base case (a 15% relative decrease). All monetary results must be displayed in USD millions, rounded to 2 decimal places, and all percentages must also be rounded to 2 decimal points.

Use the LBO model to assess the impact of a lower interest rate environment on the Year 5 exit IRR% target. 1. Decrease the existing senior debt cost by 50 bps starting at the beginning of Year 2. The senior debt cost should remain constant thereafter. 2. Decrease the existing subordinated debt cost by 25 bps starting at the beginning of Year 3. The subordinated debt cost should remain constant thereafter. 3. Recalculate the total interest cost for the impacted projection period (Year 2 to Year 5). 4. Note that all interest expense calculations must be based on the average of the beginning and ending debt balance in the period. Tell me the Net Debt at Exit, Sponsor Equity Value at Exit, MOIC, and IRR %. Print it here. All monetary results must be displayed in USD millions, rounded to two decimal places, and all percentages and multiples must also be rounded to two decimal points.

Using the assumptions below, calculate the sponsor equity value and IRR for Year 5. Then, report the sponsor equity value in US dollars, rounded to the nearest million (e.g., $1,000). Report the IRR as a percentage rounded to one decimal place. Print your answer here. Use the LBO model with the following specifications: - Increase the Subordinated Debt leverage to 2.0x from 1.5x. - Implement mandatory annual amortization of the Subordinated Debt, calculated as 1.5% of the opening principal balance of 696.1. - For each of Years 1 through 5, calculate mandatory annual amortization on Subordinated Debt as 1.5% of the opening principal balance. - Subtract both the mandatory annual amortization and any additional paydown from the beginning Subordinated Debt balance to arrive at the ending Subordinated Debt balance for that year. - Repeat this sequence each year so that the Subordinated Debt schedule reflects both annual amortization and any paydowns across Years 1 through 5. - To determine the ending Senior Debt balance from Year 1 through Year 5, incorporate the following: - Discretionary Repayment (excess cash sweep) is calculated as 50.0% of the Available Cash for Debt Repayment. - Compute discretionary repayment as 50.0% of Available Cash for Debt Repayment and deduct this amount from the beginning balance of Senior Debt to arrive at the ending balance. - This sequence is repeated each year so the debt schedule reflects discretionary paydowns tied to Available Cash for Debt Repayment. - Each year, Total Debt Paydown should equal the sum of all Senior Debt paydowns plus both the mandatory and any additional repayments on Subordinated Debt.

Use the LBO model. I want some new analyses: - Decrease the “Premium” from 35.0% to 25.0% on the "LBO" tab - Decrease the “Adj. EBITDA Multiple” from 40.0x to 25.0x on the "LBO" tab - Update revenue growth constant at 15.0% per year from Year 2 through Year 5. Write out to me here: 1. Sponsor Equity Value in Year 5. 2. IRR in Year 5. Round it to the nearest million (e.g., $1,000). Report the IRR as % rounded to one decimal place.

Using the state of fashion beauty 2025 report: 1. Identify the percentage of global beauty sales in 2024 occurring through the combined channel of grocery/big box, drugstores/pharmacies and department stores, rounded to a whole number. 2. Calculate the expected relative percentage change in that combined channel's share of global beauty sales in 2030 compared to 2024, rounded to one decimal point. 3. Assuming total global beauty sales grow at 5% CAGR from 2024 to 2030 and total sales in 2024 are $593B, calculate the net dollar change in sales for this combined channel by 2030, rounded to the nearest billion. Please return your answer straight here.

Using the State of Fashion Beauty report for 2024 sales and sub-category shares, alongside the attached data for Mass Market vs. Premium share by sub-category, calculate the difference (in $M) between the North American Mass Market and Premium segments for Skincare and Fragrance. Assume North American breakdowns by sub-category and segment match those of the global benchmarks. Report values as positive if Mass Market is larger and negative if Premium is larger. Using the data from the internal financials spreadsheet, determine Lumea's North American market share of the Premium segment of each sub-category (Skincare and Fragrance). Assume North American revenue percentages are uniform across all segments, all Lumea sales are Premium, and Lumea's Skin and Body units fall under Skincare. Round currency outputs to the nearest $0.1M and round percentage outputs to the nearest 0.1%. Provide your findings to me here in a reply.

Using the State of Fashion Beauty report for June 2025: 1. Identify whether consumers are more likely to save or splurge on facial serum and brow product. 2. State the net intent percentages of consumers who are likely to save or splurge for each of those two products, rounded to the nearest full percentage. 3. Calculate the average net consumer intent percentage for each of the three main categories, including only products with a positive net consumer intent percentage. Round to one decimal point. Report which category customers are least likely to splurge on. Just write your response straight here for me.

Using Lumea's product portfolio (Q4) file, can you calculate the weighted average Q4 gross margin (%) per product category? Percentages and percentage points should be rounded to one decimal place and $ values should be rounded to the nearest dollar. 1. Compare each percentage to the midpoint of the industry 2024 gross margin range by category (from Lumea's beauty market analysis). Report the difference in percentage points. 2. For any category where Lumea is below the industry midpoint, assume Lumea closes half of the gap to the industry midpoint and revenue stays constant. Estimate the incremental Q4 gross profit opportunity for each underperforming category. Reply back to me with your findings here.

Prepare a memo which identifies the delta (in basis points) between McKinsey (June State of Fashion report) and Lumea's (final market sizing model) 2030 projections for Global beauty sales by channel %. Match channels between Lumea and McKinsey's projections as follows: - Online_marketplace = Ecommerce - Mass_retail = Grocery / Big Box - Specialty_retail = Specialty / Mono Brands - Pharmacy = Drugstores / Pharmacy - Department_store = Department Stores Respond the information in a new Document docx. Give final answers rounded to the nearest whole number.

Calculate the projected Operating Profit contribution ($ Millions) from the Europe Growth segment from updated growth bridge charts, assuming this new revenue achieves the 2030 Operating Margin target. Also, calculate the Total Incremental Gross Profit ($ Millions) generated by the combined International Expansion, assuming these new markets achieve the 2030 Gross Margin target. We need to use the results from the Lumea Financials Report and the updated Strategic Growth Bridge (attached) from the client. Output all financial values rounded to whole numbers (no decimals). Print your answers right in here.

Can you please go through the state of fashion beauty report to calculate the difference in average spend for US consumers for 2025 vs. 2023 for each of the beauty sub-categories. Do weighted average by considering mid-points of spend ranges and taking the same spend number for the highest spend bucket. Report the final spend differences in $ to one decimal place. Print your response straight here to me.

Using Lumea's 2025 financial report and the industry operating margin benchmarks in Lumea's beauty market analysis: 1. Identify the 75th percentile operating margin for DTC beauty brands (assuming the benchmark range represents a uniform distribution). 2. Calculate the percentage point difference between Lumea's 2030 operating margin target and the 75th percentile DTC benchmark 3. If Lumea were to operate at the 75th percentile DTC operating margin in 2030, calculate the implied operating profit and how that compares with Lumea's current 2030 target. Return all results to me as a reply right here. Express all $ values in millions to one decimal place, and round % to one decimal place.

Use the State of Fashion Beauty report for June 2025 to identify which 3 countries have the most customer engagement in live social media shopping events, measured by the percentage of customers who have ever attended a beauty live shopping show. Calculate the percentage of customers who have ever engaged in live shopping shows in these 3 countries, and then state the percentage of customers who have ever engaged in live shopping shows in the US. Round answers to the nearest whole percent and do not round any intermediate calculations Respond with your findings in a new document that you create.

Using Lumea's market sizing model, calculate the 2024 percentage share for Department Stores and DTC Sites in North America and only give me the following answers: 1. Identify the benchmark share for those 2 channels shown in Lumea's beauty market analysis. 2. Calculate the percentage-point difference for these 2 channels between the model-implied share and the benchmark share shown in Lumea's beauty market analysis. 3. Calculate the dollar delta (in $B) for Department Stores and DTC Sites between Lumea's market sizing model and the benchmark. Return all this information to me in here, with the final numeric values rounded to one decimal place.

Using Lumea's product portfolio datasets (Q1 through Q4), calculate the weighted yearly profit margin (%) for the Body Care category and return only the following answers: 1. The difference, in percentage points, between Lumea's weighted annual profit margin and the midpoint of the industry 2024 profit margin range for the Body Care category, shown in Lumea's market beauty analysis. 2. The absolute dollar value that this gap represents, based on annual revenue. 3. The annual profit opportunity if Lumea were to close 30% of this margin gap. Print back the answers I requested. % and % points should be rounded to one decimal place, and $ to the nearest dollar.

Use Planet Fitness' latest financial model that Advent updated based on their specifications and assess Advent’s “ability to pay” to reach 25% IRR after 5 years if there are net revenue synergies between Planet Fitness and a portfolio company that Advent already holds. Assume exit multiple is 18x and estimated revenue synergies are as follows: $10 million per quarter (Q1-Q4 2026); $50 million per quarter (Q1-Q4 2027 and beyond). Assume no incremental costs associated with the net revenue synergies. Reply to me with a message outlining the implied premium paid to reach 25% IRR, assuming the revenue synergies above.

Planet Fitness is looking to divest its entire 281 stores, which it owns as of September 30, 2025, to a franchise owner. Round all results to two decimal places and present it in $mm. Using the LBO model, perform a DCF analysis for the company as per the base case scenario for the projected cash flows for the 281 stores, and assume the following: 1) Assume that the average revenue per store increases by 5% YoY for every quarter from Q4 2025 through the end of 2030 2) Assume EBITDA margin for the business remains at 39% every quarter from Q4 2025 through the end of 2030 2) Assume that the effective tax rate is 20% 3) Assume that the depreciation rate is 5% of the revenue 4) Assume that maintenance capex is 2% of sales and there is no growth capex 5) Assume a discount rate of 12% and terminal growth rate of 2% 6) Do the enterprise valuation as of December 31, 2025 Print here the FCFF for 2026 to 2030. Also give the Enterprise Value of the corporate-owned store business

Calculate the sponsor equity value and IRR for FY2030, then report the sponsor equity value in US dollars as a reply. Round $ to the nearest million and report the IRR % to one decimal place. 1. Reference the "Copy of LBO" tab in the LBO model for interim calculations. 2. Develop one scenario with the following specifications: -- Increase the Cash to $600 from $500 and the Minimum Cash to $100 from $50 -- Decrease the Exit Multiple from 18.0x to 15.0x -- Increase the “Secured term loan - USD tranche” leverage from 6.0x to 7.0x LTM EBITDA -- Remove the annual mandatory amortization of the "Secured term loan – USD tranche" -- Set the interest income rate assumption to 7.5% for each forecast year from FY2026 through FY2030

Conduct a 5-year IRR sensitivity analysis using Planet Fitness' latest financial model that Advent updated based on their specifications (v7). Assess the IRR impact to Advent if the terms of the debt raised changed while keeping 10% offer price premium and 18x exit multiple. Calculate the 5-year IRR when Debt Raised at Close at 6.5x, 7.0x EBITDA and interest rate at 6.5% and 7%. You can use a "Copy of LBO" tab. Round all calculated numbers to one decimal place. Reply back to me here with the information I've asked for.

Use the LBO analysis, update it to assume that Planet Fitness stock option tranches outstanding. I want to see the Year 5 IRR, flexing premium paid and exit multiple. # Assumptions -All options are vested or will vest in the event of a transaction -3 tranches of stock options outstanding: *5.0 million shares at a strike of $105.00/share *4.0 million shares at a strike of $110.00/share *5.0 million shares at a strike of $116.00/share # Output In the LBO analysis file create a new sensitivity table, with the Entry Premium % of 5% and 15%. Also show the Exit Multiple of 16x, 18x and 20x. Round final monetary values to nearest million. Round all other values to 1 decimal point.

Use Planet Fitness' latest financial model, in the"Copy of LBO" tab, and sensitize $ operating expenditure each year by +/- 5% against the base case for each year from 2026 through 2030; calculate the resultant change in FY30 IRR relative to the base case. (For illustration, if opex in FY26 was $1,000, the downside (+5% opex) case would be $1,050 opex and the upside case (- 5% opex) would be $950 opex.) Create a new Sheet and make a table with: - Rows: "Upside", "Base", "Downside" scenarios - Columns: "Scenario"; "IRR"; "Accretion/Dilution" Where "IRR" is the IRR for the given scenario and "Accretion/Dilution" is the difference in the scenario IRR against the base case in absolute % terms. Format all percentages to 2% decimal places

Using the LBO model, I want you to tell me updated values for: (1) Implied Net Debt, (2) Sponsor Equity Value and (3) IRR for Year 5. # Assumptions -Increase the interest rate of the secured term loan from 7.5% to 7.75%, and assume the secured term loan is now non-amortizing -Increase entry leverage from 6.0x LTM EBITDA to 7.25x LTM EBITDA -Hold revenue growth constant at 11.0% from FY27E through FY30E Given the revenue adjustment, throughout the forecast period, assume: - Quantum of Operating Expenses remains unchanged - Capex in this scenario scales faster than revenue and as a % of revenue increases by 100bps above the base case - Assume no $ increase to D&A For the final numbers: Percentages rounded to 1 decimal point. Monetary values rounded to the nearest whole million USD.

Calculate the sponsor equity value and IRR for FY2030, then report the sponsor equity value in US dollars, rounded to the nearest million, and report the IRR as a percentage rounded to one decimal place. Use the LBO model. Reply straight back to me please, with everything I requested. Use these specs: - Increase the “Secured term loan - USD tranche” leverage from 6.0x to 7.5x LTM EBITDA and decrease the yield from 7.50% to 6.50%. - Hold revenue growth constant at 12.0% per year from FY2026 to FY2030. - Decrease the % Premium to 5.0% from 10.0%.

Conduct a 5-year IRR sensitivity analysis using Planet Fitness' latest financial model that Advent updated based on their specifications (v7). Assess the impact if Planet Fitness reduces National advertising fund expense to 10% YoY change in Q1 to Q4 2026. Using the "Copy of LBO" tab calculate the 5-year IRR when offer prices are $100, $110 and exit multiples are 16x, 17x. Round all calculated results to one decimal place. Create a sensitivity table, and make a new Spreadsheet, with these values.

Update the LBO analysis tab "Copy of LBO". It needs to include a single potential add on acquisition in FY2027E. Assess the impacts on the 5-year LBO analysis. Use SOFR actual data. Add to that tab, the total debt, total enterprise value, and sponsor IRR. Round $ to millions and others to 1 decimal point. General assumptions: -Target EBITDA at time of acquisition is $41mm -Assume target EBITDA grows at the same CAGR as Planet Fitness standalone EBITDA forecast from 27-30 -Acquisition EBITDA multiple of 10.0x -No synergies -Acquisition funded first by all available cash on hand (less minimum cash), then by a revolver. Revolver assumptions: *The revolver was left undrawn at purchase *Priced at SOFR + 400 (for the purpose of this analysis, pricing will be fixed throughout the forecast at the 30-day Average SOFR as of 11/21 in attached file titled "SOFR (Actual).xlsx") *Maximum revolver capacity of $1,000mm *Unused revolver commitment fee of 0.25% *Revolver paydown is prioritized before cash sweep to any other debt

Update the LBO model to include an incentive payment structure of PLTF management post-transaction. Assess the impacts on the 5-year LBO analysis. Management is eligible for these payments each year of the forecast based on 3 levels of performance targets: - Minimum: Meets Currently modeled EBITDA projections - Midpoint: Exceeds EBITDA projections by 10% - Maximum: Exceeds EBITDA projections by 20% The Payout for each level: - Minimum: $2mm - Midpoint: $3mm - Maximum: $5mm Here are some assumptions: - For EBITDA outcomes that surpass one threshold but not the next, management will receive the pro-rata proportion of EBITDA in excess of the threshold, calculated linearly between the two thresholds - Create 2 new cases (in addition to the "base" case currently in the model) where revenue exceeds the base case forecast by 5% and 10% per year, respectively - For the 5% revenue outperformance case, assume capex in this scenario scales faster than revenue and as a % of revenue increases by 100bps above the base case - For the 10% revenue outperformance case, assume capex in this scenario scales faster than revenue and as a % of revenue increases by 100bps above the base case In the final results, round all % values to 1 decimal point. Write back to me with your findings here as a short message.

Calculate operating cost before D&A as a percentage of sales ("operating cost margin") for each of GYM, Life Time, Planet Fitness, and Xponential fitness for each year from FY2021 to FY2024 before D&A, then calculate the average of those results. Print your answers as a reply to me here. Give them as percentages, rounded to two decimal places.

Using the LBO model, update the analysis to reflect a go-forward plan which emphasizes an increased investment on franchisee-owned stores. Output the implied Sponsor Equity Value and IRR for Year 5. Round percentages to 1 decimal point and round monetary values to the nearest whole million USD. Bear in mind: -Increase the "New stores opened" assumption for Franchisee-owned stores each quarter from 1QE 2026E through 4QE 2030E by 5.0% vs. the corresponding quarter in the base case -Adjust the "Same Store Sales" assumption for Franchisee-owned stores each quarter from 1QE 2026E through 4QE 2027E to 7.0%, and then from 1QE 2028E to 4QE 2030E, hold Same Store Sales assumption constant at 5.5% -Increase "Exit Multiple" assumption from 18.0x to 19.5x to account for the increased overall EBITDA margin of the business though franchise growth

Calculate the sponsor equity value and IRR for FY2030, then report the sponsor equity value in US dollars, rounded to the nearest million. Report the IRR to one decimal place. Reference the LBO model where needed. Note: the LBO model has an error. Mandatory Debt Repayments in the Levered Free Cash Flow build should be set to $0 to correct the error. Use the following specifications: - Decrease “Secured term loan - USD tranche” yield from 7.5% to 5.0%. - Increase annual mandatory amortization of the “Secured term loan – USD tranche” to 7.5% of the opening principal balance of $3,432mm. - Hold revenue growth constant at 13.0% per year from FY2026 to FY2030; model drivers should reflect the updated revenue growth (for avoidance of doubt, OpEx remains unchanged vs the base case in $ terms). - Only 10.0% of the cash available for total debt service in each year is allocated to the optional repayment of the secured term loan. Give me the answers here in the console.

Using the LBO analysis, conduct a Purchase Price Allocation to show the amount of pro-forma goodwill created from this transaction. Also show the allocable purchase premium. Round all monetary values to the nearest million. Write back the results as a message to me in here. # Assumptions - Balance sheet figures sourced from the "Balance Sheet" tab, using FY25E data (as of Q425) - Intangible Assets Write Up: Intangible asset allocation %: 10.0%. Useful life assumption: 15 years - PP&E Write Up: PP&E write up %: 10.0%. Useful life assumption: 8 years - Tax rate of 25%

Conduct a 5-year IRR sensitivity analysis using Planet Fitness' financial model. Model the impact if, starting Q1 2026, Planet Fitness opens 10 additional Franchisee-owned stores each quarter, compared to the same quarter in the prior year, and continues this trend each quarter until Q4 2030. 1. Using the "Copy of LBO" tab, calculate the 5-year IRR when share price premiums are 10%, 15% and exit multiples are 16x, 17x, 18x. 2. Round all calculated results to one decimal place. REQUEST: Put in a sensitivity table to a new Sheet with these values.

Output the year 5 Equity Value to Sponsors and IRR (with a 5 year exit). From the existing LBO model, update values to both a 20% equity rollover from existing shareholders and a 10% management option pool. Write the information straight here. Assumptions: -Existing shareholders have agreed to roll 20% of their exit proceeds into the deal as a source of funds (i.e., note that existing shareholders will have a 20% pro forma equity stake) -Impact of net option dilution calculation as follows: *Options only trigger if exit equity is greater than entry equity *If options trigger, gross proceeds to management is total exit equity multiplied by the percentage of management's option pool *Netted against management's cost to exercise, calculated as the value of entry equity multiplied by percentage of management's option pool Round monetary values to nearest whole number. Round all other values to 1 decimal point.

Use Planet Fitness' latest financial model, and conduct an ability to pay analysis around Advent's target IRR of 25%. Create a new xlsx sheet, then round all calculated values to two decimal places for: the implied premium paid when target IRRs are 20.0%, 22.5%, 25.0%. Exit multiples are 18x and 20x.

Please calculate the DCF value per share applying the midyear convention. Keep all other assumptions the same in the existing model. Provide your answer right here, rounded to the nearest cent

Using the LBO model, what would the revenue growth % in 2025E have to be to yield an IRR of 20.0% in 2029E? Round to 2 decimal places. Reply to me in here please.

Using the DCF calculate the implied levered FCF yield for CNS in 2030E for (1) the perpetuity growth method and (2) the exit multiple method. Assume a 10% WACC, 2% terminal growth rate, and an 11x exit multiple. Provide values to one decimal place. Write out your reply to me here.

Your task is to evaluate the impact of financing constraints on Project Vanguard's take-private economics and develop a revised LBO case reflecting a capped leverage scenario using the LBO model. • Term Loan B (TLB): cap maximum proceeds at $1,250 MM • Adjust Sponsor Equity so that Total Sources = Total Uses, maintaining a constant enterprise value (EV) at entry (excluding fees and cash to balance sheet). • Exit Multiple: assume 2030E Exit Multiple of 18.5x In the existing LBO model, I want you to compute the Implied Adj. EBITDA Entry Multiple (2024A). Label this calculation as: “Implied Adj. EBITDA Entry Multiple (2024A)”. Also, create a 2x2 sensitivity tables for Sponsor IRR (%). Set rows as: Premium to Current (15.0%, 25.0%) and columns as: Exit Multiple (17.5x, 18.5x). Populate the tables with recalculated IRR values based on the revised capital structure reflecting the Term Loan B cap. Round the final results to one decimal place and keep the same formatting as the original sensitivity table.

Assume that CNS has been taken private as of the start of FY25E. The new PE owners have decided to reduce employee compensation by 50% of the value of stock-based compensation in the previous LBO forecast (when CNS was a public company). Based on this, calculate the revised DCF per share valuation of CNS. Keep all assumptions the same per the DCF base case. Provide your response right here, rounded to the nearest cent.

Using the precedents and DCF analysis calculate an implied share price for CNS to 2 decimal places. Exclude transactions where the target had <$90 B in AUM. Using the forward EBITDA from the DCF, assume a 10% increase in total expenses and only a 5% increase in Depreciation and amortization. Edit the existing sheet to provide the share price build (EV / EBITDA, 2025E EBITDA, Implied EV, Net Debt, Implied Market Cap, FDSO and share price), starting in the 'Precedents' tab. Round all values to 2 decimal places.

What is the EV and implied share price of CNS in the DCF model using both Gordon growth model and exit multiple approach if each business segment grows as outlined below over the projection period of 2025 to 2030? Segment 1 - Investment advisory and administration fees grows at 7.0% revenue growth per annum Segment 2 - Distribution and service fees grows at 6.0% revenue growth per annum Segment 3 - Other grows at 5.0% revenue growth per annum Output the following to me with a short message in reply: 1. EV using the Gordon growth method 2. Implied share price using the Gordon growth method 3. EV using the exit multiple approach 4. Implied share price using the exit multiple approach Report share price in $ and to 2 decimal places, report EV in whole number and in millions. For operating expenses and capex use the Operating Assumptions (provided as a % of total revenue) laid out in the “LBO Model-hardcoded” tab.

Using a discounted cash flow (DCF) model, what is the implied share price under the following assumptions: - Revenue growth is 2.0 percentage points lower than the current growth rates in each year from 2025 to 2030. - Employee compensation and benefits as a percentage of revenue are 2.0 percentage points higher than the current figures in each year from 2025 to 2030. - Mid-year convention is used. I want you to (1) Tell me the implied share price using the Gordon Growth Method. Then, (2) tell me the implied share price using the Exit Multiple Approach. Reply to me with a message outlining these values in USD, rounded to two decimal places.

Using the LBO model calculate FY2025 interest expense and the corresponding FY2025 Adj. EBITDA / Interest Coverage ratio based on the capital structure sized at 4.5x entry gross leverage (Gross Debt / FY2024 Adj. EBITDA). Assume the transaction closes in FY2024 and the sponsor holds the asset through the 2030E exit. Round the dollar values to whole numbers and multiples to one decimal point. Respond here with a short message.

Management believes that the appropriate valuation of the DCF terminal value is the EV / mgmt. fees portfolio multiple of the asset managers peer set per the comparables analysis excluding JHG and AMG. Calculate CNS's implied terminal growth rate using that approach. Keep all other assumptions the same per the DCF base case. Provide your findings as a message here, rounding percentage values to 2 decimal places.

Output two values for me: 1. The implied share price using the Gordon growth method 2. The implied share price using the exit multiple approach You will need to update the DCF model with the following changes to get the right answer: 1. Change depreciation and amortization as a percentage of total revenue from 2025 to 2030 to the same rate as 2024 2. Change Total current assets as a percentage of total revenue from 2025 to 2030 to the same rate as 2024 3. Change Total current liabilities as a percentage of total revenue from 2025 to 2030 to the same rate as 2024 4. Change revenue growth from 2025 to 2030 to the same rate as revenue growth between 2023 and 2024 5. Change distribution and service fee to 15% of the total revenue from 2025 to 2030 Respond with a short message here. Report share price in $ and round it to 2 decimal places

Revise the Stock Purchase Agreement. I want you to edit the existing file. I want you to protect the Buyer given a potential $399,540 tax exposure tied to Summit’s potentially invalid S-Corp election. Update the agreement to include strong seller reps, warranties, covenants, and indemnities to protect the buyer, as well as tax-related pre-closing and post-closing obligations so that any liabilities associated with the S-Corporation issue are borne by the Sellers.

You have the MFC model. Calculate the implied sponsor equity at entry in FY2032 and report it in Canadian dollars (C$), rounded to the nearest million. Respond by printing out back to me. Reference the "LBO (Option C)" tab for interim calculations. Develop one scenario with the following specifications: Increase the Term Loan B leverage to 4.5x LTM EBITDA and the yield to 8.50%. Increase the senior notes leverage to 2.5x LTM EBITDA and the yield to 11.00%. Hold revenue growth constant at 8.0% per year from 2026 to 2032. Use target IRR of 25.0% and exit multiple of 12.0x.

Please use assumptions below for a more aggressive financial forecast, which is termed the "SuperUpside" case: - The drivers of the SuperUpside case adds to the "Upside" case the difference between the "Base" and the "Upside" cases in the MFC model. - For example, if the "Base" case for FY23 revenue growth is 3% and the "Upside" case is 5%, then the "SuperUpside" case is 7% (5% Upside + 2% difference between Base and Upside). - As a further example, if the "Base" case COGS % sales is 20% and the "Upside" case COGS % sales is 19%, then the "SuperUpside" case is 18% (19% Upside - 1% difference) Please calculate the FY29 change in cash assuming that management has decided on a debt-only refinancing (Option A / Case 1 in the model "toggle"). Please reply back to me with the answer, rounded to the millions of dollars.

The Private Equity Sponsor wants to extract cash via a "Dividend Recapitalization" at the end of 2027. Using the MFC model, you must size the Maximum Special Dividend the company can pay while remaining compliant with a strict Debt Service Coverage Ratio (DSCR) covenant. Report the 2027 CFADS, Max Total Debt, and the Net Special Dividend ($000s). Reply back here with the numbers. Scenarios: 1. Timing: The dividend recap transaction closes at the end of Fiscal Year 2027. Use 2027 forecast data. 2. Covenant Constraint: - Pro Forma DSCR, defined as CFADS / debt service, must be at least 1.40x. - Cash Taxes (Override): Calculate normalized cash taxes as 25.0% for the purpose of dividend recap 3. New Debt Structure: - The company will refinance all existing debt into a new Senior Facility. - Interest Rate: 6.5% (Fixed). - Mandatory Amortization: 1.0% of Principal per year. - Total Service Constant: 7.5% (Interest + Amort). 4. Dividend Recap Transaction Fees: 2.0% of the Incremental Debt Raised (New Total Debt - Old Existing Debt). Instructions: 1. Calculate 2027 CFADS using the override tax assumption. 2. Solve for the Maximum Total Debt Capacity allowed by the 1.40x DSCR constraint. 3. Calculate the Incremental Debt (Max Total Debt - Existing 2027 Year-End Debt). 4. Deduct dividend recap transaction fees to find the Net Special Dividend.

Calculate an updated implied sponsor equity at entry with FY2032 exit. Use the MFC LBO model and the assumptions below: - Reduce the TL-B leverage multiple from 3.0x LTM EBITDA while lowering the yield 6.50%. - Increase the senior notes leverage multiple from 2.0x to 3.5x LTM EBITDA and Increase the yield from 9.50% to 11.0%, apply the rate to the beginning balance each year, and assume full PIK treatment, with annual interest accruing and being added to the ending principal balance and paid in FY2032 (no interim cash interest payments). - Maintain revenue growth at 6.0% per annum from FY2026 through FY2032 and use target IRR of 25%. Leave all other assumptions unchanged. Report in Canadian dollars (C$), rounded to the nearest million. State your answer to me right here.

Muskrat Falls Corp (MFC) has decided on a debt-only refinancing at market rates, i.e. Option A (Case 1 of the model "toggle") in the MFC model. MFC is valued at 12x EV / NTM EBITDA. Please calculate the company's equity value at end FY30, assuming the following: * Due to unfavorable macro conditions, MFC is only able to re-finance its debt at an additional 75bps spread to the base case * MFC managed to receive regulatory relief that permits it to reduce restricted cash by $100M each year, starting in Jan FY27, with funds returned to shareholders as special dividends Please provide your response in millions of dollars. Print the information I need back here.

Use the MFC model to return Implied Total Enterprise Value (in Canadian dollars, C$, rounded to the nearest million) under the following assumptions. 1. Refinancing + EPP - Decrease the Refinancing + EPP spread from 3.5% to 2.5%. - Preferred equity issuance size increased to C$2,000,000, along with the preferred dividend rate decreased to 7.5%. - Hold revenue growth constant at 7.0% per year from FY2026 to FY2032. 2. Discounted cash flow analysis scenario with the following specifications: - Begin with the change in cash for each year from FY2026 through FY2032, and add back both preferred dividends and tax-affected interest expense in order to derive unlevered free cash flow for each period to be discounted to net present value. - Apply a WACC of 12.0% - For each year, calculate the net present value of the unlevered free cash flow using 2025 as year 0.. - Utilize an exit EBITDA multiple of 15.0x. Give me the information in your reply here.

You have the MFC model. Calculate the Total Debt / EBITDA in FY2030 and report it in multiple, rounded to one decimal place. Print your answer to me here. Reference the "Refinancing (Option A +B)” tab for interim calculations under Option A, Case 1 of the model “toggle.” Develop one scenario with the following specifications: Increase the Refinancing spread from 4.0% to 6.0%. Hold revenue growth constant at 6.0% per year from 2026 to 2030.

Assume that Muskrat Falls Corp's (MFC) owners have decided on an LBO process. Blackstone has decided to bid for the business via its infrastructure fund. Please calculate Blackstone's "ability to pay", i.e. the entry transaction EV for MFC, given the following assumptions using the MFC model: * FY2032 exit at 12x LTM EV/EBITDA * 12% IRR threshold (given the stability of infrastructure assets) * In addition to the base case LBO financing package, Blackstone will additionally source a $2bn preferred with a 9% PIK coupon from a third-party investor Reply back to me here with your findings.

Muskrat Falls Corp's (MFC) owners have decided to pursue option A (Case 1), i.e. the debt refinancing only option, and hold MFC as an investment and selling at the end of FY35. Assume the following: * Financial model remains the same from FY25 to FY32, per MFC model, and from FY32 to FY35 all model drivers are extended * Interim cash flows are received at the end of each year; free cash flow is first used to pay down debt then paid out as a dividend to the owners * Sale of MFC at the end of FY35 for 13.5x LTM EBITDA * Owner's hurdle rate is 15% Calculate the present value of MFC to its owners (i.e. as of end FY25). Provide a response with the number rounded to the nearest millions of dollars.

Use the MFC model we made. MFC has chosen to proceed with a debt-only refinancing at market rates (Option A / Case 1). At the start of each year, it decides to issue new debt up to a maximum of 4.0x gross leverage in total debt capacity (LTM EBITDA), with the proceeds used to fund special dividends to its shareholders. Please calculate the amount of special dividends received until the end of the projection period in FY32. Provide your response back to me here, rounded to the millions of dollars.

Use the MFC model to reply to me with the updated Retained Cash and ending Long-term debt in FY2030 under the following assumptions. Report in Canadian dollars (C$), rounded to the nearest million. 1. Refinancing + EPP - Decreased the Refinancing + EPP spread to 2.5%. - Preferred equity issuance size increased to C$2,000,000. - The preferred dividend rate decreased to 7.5%. 2. To determine the ending balance for long-term debt from FY2026 through FY2032, the following two components are subtracted annually from the beginning balance: - Mandatory Repayment (Amortization): Calculated as 2.5% of the beginning balance of long-term debt for each year. - Discretionary Repayment (Excess Cash Sweep): Determined as 80.0% of the annual change in cash before the payment of mandatory debt repayments. 3. Retained cash represents cash preserved after satisfying all scheduled debt repayments and discretionary sweeps, and will remain on the balance sheet rather than being allocated for further debt reduction. Assumes no cash interest income is earned on retained cash from FY 2026 through FY 2032. 4. 50% of retained cash generated in FY 2027 will be used to fund a one-time special dividend distribution in FY 2028. This amount will be taken out of operational cash flows, reducing funds available for debt repayment, rather than retained cash.

Using Option B in the MFC model, the refinancing in conjunction with a equity private placement (preferred stock), update to upsize the preferred tranche to $1.5bn and for interest to be payment-in-kind (PIK) rather than in cash. In addition, the preferred will now be redeemed at the end of 2030. When the preferred matures, MFC will aim to execute a refinancing for up to 4.5x of gross leverage (gross debt / LTM EBITDA). Use of proceeds from this re-financing will be applied to (a) pay off the preferred; and then (b) fund a shareholder special dividend Calculate the maximum size of the shareholder special dividend in $s to the nearest million. Print the answer here.

Please calculate the total value of a MFC privatization by the provincial government at a bid value of 11x LTM EBITDA, which composes of both the (a) upfront proceeds from the sale and (b) value of the tax stream, assuming the following using the MFC model: * The province receives 1/3 share of the corporate tax (the other 2/3 going to the federal government) * Given its "super-priority", the discount rate on the tax stream is 4% * The terminal growth rate of the tax stream is expected to be the 2032 revenue growth rate of MFC Please provide your response to me here, in millions of dollars that are rounded to the nearest million.

Calculate a normalized market capitalization for AES using data from the comps file and the following approach: - Calculate the volume‑weighted average price (VWAP) for AES Corporation over the 250 trading days to 20 Nov 2025, in two steps: Step 1: For each trading day, compute the daily dollar value by multiplying the average of that day’s high, low, and close prices by the total volume traded that day, then sum these daily dollar values over the full 250‑day period. Step 2: Divide this 250‑day cumulative dollar value by the cumulative trading volume over the same 250‑day period to arrive at the 250‑day VWAP. - Determine the percentage share price increase (premium) by comparing the 20 Nov share price to the 250‑day VWAP. - Normalize AES Corporation’s market capitalization by removing the premium of the most recent share price over the 250‑day VWAP, so that the resulting normalized market capitalization reflects the VWAP rather than the latest trading price. Return only the final result to me right here as a short message. Give it in billions of Canadian dollars (C$) and rounded to one decimal place.

Using KSchool's DCF, update the 2026 revenue growth rate so that the 2024-2028 Revenue CAGR is equal to INST's 2019-2023 selling and marketing expense CAGR. Then make it a 6-year projection period and keep assumptions for the 6th year the same from 2028. Add 25bps to Terminal Growth Rate. Accounting for these changes, return the implied share price to me right in here. Round the numbers to two decimal places.

Use the LBO model with the following indicative debt package to calculate these values --> then, return them back to me here 1/ Equity contribution 2/ Central case IRR 3/ Central case MOIC 4/ Exit net debt 5/ Maximum amount of revolver drawn Term Loan A: Amount: $1.8bn Term: 7 years, straight line amortising Rate: 7-year US Treasury (market rate) + 225bps Arrangement Fee: 0.75% Term Loan B: Amount: $600m Term: 10 years, bullet repayment Rate: 10-year US Treasury (market rate) + 275bps Arrangement Fee: 0.75% Revolver: Amount: $600m Rate: 5.5% Round percentages and multiples to two decimal places, and dollar amounts in millions, rounded to the nearest whole number. Assume market rates from 28-Nov-2025 (U.S. Treasury Daily CMT).

Calculate the 2027P equity value implied by the LBO output. Replace the 2027P exit EBITDA multiple with the average calculated FY2023 EV/EBITDA multiple for CHGG and LOPE. Present the result to me here, rounded to the nearest $ million

Can you help me calculate a new implied share price, rounded to two decimal places? Return your answer to me here Update the DCF so that its 2024-2028 R&D CAGR is equal to PWSC's 2019-2023 R&D CAGR. Update revenue growth rate for 2027 to achieve this. Then adjust operating expenses (excluding R&D) in year 2028 so that its 2024-2028 CAGR is one half PWSC's 2019-2023 G&A CAGR. Lastly, update the DCF with the average 10-year treasury rate for 12/2/2025 - 12/19/2025.

Referencing the KSchool DCF, how much does the company need to increase or decrease 2023's earnings to have it's P/E ratio in 2023 equal to the sector average for communication services as of 1/1/2026. Assume P/E is calculated using its implied share price from the DCF model. Return a short reply with the dollar amount in millions, rounded to nearest integer.

Calculate the 2028P equity value implied by the LBO output, assuming an exit multiple of 32.0x. Present your result to me as a message in here, rounded to the nearest $ million. Use the following conditions: - Set maximum leverage on the Term Loan A, measured against 2023A EBITDA, at 10.0x, with any remaining funding requirement to be satisfied through an increased equity contribution. - For revenue growth, calculate the average 2024 year‑over‑year revenue growth rate of the following three companies—Duolingo, Inc. (NASDAQ: DUOL), Coursera, Inc. (NYSE: COUR), and Grand Canyon Education, Inc (NASDAQ: LOPE). Apply this single average 2024 growth rate to the company’s revenue in 2024, and assume this constant revenue growth rate from 2025P - 2028P. - All other assumptions remain unchanged.

Using the DCF model, update the equity risk premium to be the risk-free rate plus 150 basis points and the cost of debt to be the risk-free rate plus 300 basis points Output the following rounded to two decimal places: - Implied DCF share price with a terminal growth rate of 1.25% and 5-year risk free rate of 12/12/2025 - Implied DCF share price with a terminal growth rate of 1.25% and 7-year risk free rate of 12/12/2025 - Implied DCF share price with a terminal growth rate of 1.75% and 5-year risk free rate of 12/12/2025 - Implied DCF share price with a terminal growth rate of 1.75% and 7-year risk free rate of 12/12/2025

I want to know the implied DCF share price with a revised scenario, rounded to two decimal points. Do your calculate by updating the cost of debt in the DCF model to be the average between the 1 year and the 5 year treasury rates as of 12/22/2025 plus 100 basis points. Set revenue growth rate to 12% for the entirety of the projection period and update the equity beta to 1.3. Don't edit any files, just print your answer back here.

Calculate the updated PV of FCF. Output it here. Round it to the nearest whole number, with zero decimals. Print your answer as a reply back here. Account for: 1. Identify the competitor in the comparable analysis file with the lowest EV/Revenue multiple. 2. Replace KSchool's gross margin rate for the projection periods with the FY 2024 gross margin of the competitor identified above and add +10%. 3. Replace KSchool's Operating expenses rate for the projection periods as the average of SG&A expenses as a percentage of revenue of the competitor from FY 2021 to FY 2024. 4. Update the risk-free rate to be the 20 year treasury yield from Oct 20, 2025.

Calculate the Adjusted Cost of Instability for each site, defined as Abnormal scrap cost/(Actual Scrap %−Normal Scrap %) = adjusted cost of instability. The target scrap rate of HarFeast is the minimum in the range of acceptable scrap rate in the scrap rate report. Just use COGS per ton as your scrap cost for now. Report your final answers to me in a message. Round values to the nearest dollar.

Using HarFeast's baseline diagnostic dataset, assess the impact of predictive maintenance on HarFeast's scrap rate. We will pilot predictive maintenance only on equipment a) whose scheduled hours per year are at or above that equipment type's median scheduled hours and b) whose labor hours are at or above its plant's median labor hours. For all equipment qualifying for the pilot, apply the improvement assumptions from the Gogo Food case study. 1. Calculate the new overall scrap rates per product family, rounded to one decimal point place. 2. Calculate the total scrap units each product family avoids per year after these improvements, rounded to the nearest whole number. Please return all results to me in your reply.

I want to quantify the average annual productivity loss at a cost level for each employee in each primary role based on the sum of average hours spent doing manual entry, searching data, and fixing errors. Then, I want to calculate the total productivity loss cost HarFeast faces every year, company-wide. Note that the survey responses represent one week of work. Report your final answer as a message here, rounded to the nearest dollar.

Using HarFeast's equipment data by location and quality losses dataset, we will consider all canned vegetables assets with a scrap rate > 5% and with unplanned downtime hours above the plant median for canned vegetables as "high-priority". 1. For the "high-priority" group, calculate the total annual quality-related losses (scrap + unplanned failure cost). If the quality losses dataset has a different product family label, ignore it. 2. Calculate the percentage of all canned-vegetable quality losses that comes from these "high-priority" assets. Print it here, numbers rounded to the nearest whole number.

Can you calculate the total labor variance in hours (favorable should be positive) and dollars for the Illinois and Wisconsin plants? A positive variance should mean that Total Actual Hours are less than Total Standard Hours. You can use the median wage for All Occupations in the food manufacturing industry in the attached file to convert from hours to dollars. Also, please give me the straight average of the Productivity Index (Standard Labor Hours per Ton divided by Actual Labor Hours Per Ton) for each location. Round the final answers to the nearest hundredth. Provide all your answers directly as a reply to me here. Use the plant-level equipment data by location for the analysis. Also, per client, the total Standard Hours shall be based on Actual Throughput Tons and the Standard Labor Hours per Ton.

The client sent us employee wage data (attached), so we need to update our assumptions in the financial analysis section of the survey analysis report to display the updated annual productivity loss figures (in 000s). Find the average hourly salary of employee roles and use that to update the annual productivity loss estimate (rounded to 1 decimal place). Assume average hourly wages in the data are fully-loaded costs. Assume the following activities are non-productive: manual data entry, searching for data, and fixing errors. Report final answers here, written out in a short message.

To implement the required roadmap for our recommendations, we need to identify what roles and plants are most and least willing to go through a digital transformation. We will start with a small training program in those plants that have highest and lowest willingness and, within these plants, those roles with highest and lowest willingness to adopt digital tools. This will help us determine how much digital willingness matters and what changes we might need to do accordingly. Once we determine what training preferences (i.e. how much time) might be most suited for each group, we will calculate the potential costs of training these employees (i.e. those that have the highest preference for a length of training in roles with high willingness to adopt tools in plant with highest willingness and role with lowest willingness in plant with lowest willingness). Write out for me here a message with the roles impacted per category (high/high, low/low), the count of employees, the length of training in hours, and the total cost in $. Round numbers to 1 decimal.

Use the valuation model, updating the 'Per Share' and 'Premium' values for the low, mid, and high cases to reflect Blackstone’s acquisition of Company X and the assumptions below. Reply back to me with the per share data in € and the Premium. Round percentages to 1 decimal place. Assumptions to follow - Blackstone acquired Company X in 2020 at an EV of €1000M - Company X revenue was €100M - Company X EBITDA was €50M - Blackstone acquired Company X at a 45% premium - The Stevanato - SVM Automatik transaction is an outlier and should be excluded from the analysis - The Mid EV/EBITDA multiple is the average of the High and Low multiples - Gerresheimer recently completed a capital raise that is not reflected in the base case, issuing10 million shares at €30.00 per share - Gerresheimer used €200M of the proceeds raised to acquire 49% of Company Y that has €50M in EBITDA

Please access the 2024 Huhtamaki Annual Report and calculate the Net Sales per employee at end of period for 2023 and 2024. Reply to me here with the the Euros per Employee, rounded to the nearest full Euro amount.

The current standalone DCF valuation does not include synergies. In the valuation model, re-run the analysis to include synergies, integration, and transaction costs. In the accretion dilution model project, the "Synergies" and "ProForma_Combined" tabs contain these assumptions. 1. Update the vauation model "Project_Rheingold_Valuation_Model(final)" 2. Implement One-Time Integration Costs (After-Tax), Transaction Costs (After-Tax), and EBITDA Synergy (pre-tax) into the DCF analysis, maintaining all existing DCF assumptions. 3. Report back for me: "Sum of PV of FCF (2026-2030)", "PV of Terminal Value", "Enterprise Value", "Implied EV/EBITDA(2025E)", "Implied EV/Revenue(2025E)". 4. Round all final monetary values (millions) and multiples to one decimal place.

You have access to the accretion dilution model. Create a new sheet and tell me the Proforma Interest Coverage for 2027 and 2028. In doing so, assume: - Aptar's Interest expense as a percentage of sales in sheet "Aptar_Historicals" is now 2% for the projection period (2025E - 2030E) - Aptar's Total OPEX as a percentage of sales in sheet "Aptar_Historicals" is now 25% for the projection period (2025E - 2030E) - Aptar's Tax Rate as a percentage of sales in sheet "Aptar_Historicals" is now 35% for the projection period (2025E - 2030E) - Interest on Existing debt remains unchanged. - Cost synergies target in sheet "Synergies" is 35% - Synergies in sheet "Synergies" will be 50% realized in 2025, 2026 and 2027 and 100% in 2028 and after - Cost to achieve synergies in sheet "Synergies" will be 0% Perform the calculations in Euros in thousands and round to one decimal place.

Calculate the incremental Enterprise Value the Gerresheimer acquisition will add to the Aptar Group. Only reference the board presentation. Assume multiples for The Aptar Group remain constant and reference the acquisition multiple of 4.5x for Gerresheimer to arrive at the acquisition price. Use 2025E EBITDA. Do not incorporate synergies. Express your answer as a message right here. Give numbers in USD million, rounded to one decimal point.

Determine the effective interest rate of The Aptar Group acquiring Gerresheimer at a 35% premium. Then compare that effective interest rate to the effective interest rate of The Aptar Group as a standalone without acquisition. Use the board presentation to calculate the effective interest rates. Round the interest rates to one decimal point. Assume a 25% corporate tax rate. Create a New Sheet file with the Effective Interest Rate for Aptar Standalone and Aptar with Acquisition.

ATR is expecting to write down the goodwill related to Pharma to zero following the merger with GXI. Referring to the 2024 ATR 10K calculate the new total ending Goodwill under this write down scenario and output the number. Round it to the nearest thousand dollars. Tell me the information that I want in here.

Create a new Spreadsheet for me. Please compute a new Adjusted EBITDA value for the following companies: West Pharmaceutical, Stevanato Group, Schlott Pharma, Berry Global, Aptar Group using the board presentation, by taking the peer group median EBITDA margin and the corresponding revenue values. Multiply the Adjusted EBITDA values by the peer group median EBITDA multiple to derive a new Enterprise Value for each company. Report back the values. Display all margins and multiples to one decimal place and revenues, Adjusted EBITDA, and EVs to the nearest whole number, expressed in $mm.

Calculate the 2030E discounted EV/Revenue multiples for West Pharmaceutical, Stevanato Group, Schott Pharma, and Aptar Group. Reference the valuation model on the "Trading Comps" tab. Note that the financial and valuation metrics reflect 2025E assumptions. For each company, assume that the long-term revenue growth rate starting in 2026E is equal to its FY23 - FY24 YOY net sales growth rate, and the discount rates are as follows: West Pharmaceutical -> Reference WST 2024 10K for revenue growth -> Discount Rate: 9.4% Stevanato Group -> Reference Stevanto 2024 20-F for revenue growth -> Discount Rate: 8.8% Schott Pharma -> Reference Schott 2024 annual report for revenue growth -> Discount Rate: 10.0% Aptar Group -> Reference ATR 2024 10K for revenue growth -> Discount Rate: 7.4% Round the final output to one decimal and express it as a multiple. Print out what you find for me in here.

Reference 2024 ATR annual report to calculate Aptar Group's cash conversion cycle for FY2024, using FY2024 ending balance only. Output the cash conversion cycle in days, rounded to the nearest whole number. Respond with the information right here.

Calculate and report the adjusted diluted EPS growth for FY2023 to FY2024 for Amcor and unadjusted diluted EPS growth for The Aptar Group, rounded to the nearest whole percentage. Use the Amcor and ATR 2024 annual reports. Reply to me with the correct values here.

Our client, SLL, needs to understand whether their new customer marketing initiative is legal and what risks are likely. In this initiative, SLL is creating marketing texts and sending them to customers based on the customers' fun facts. For example, an SLL client named Stori confirmed in a conversation with her loan officer that she gave her permission to receive these texts and is looking forward to receiving them. Her loan officer has the texts scheduled to go out on Fridays based on the theme of the Stori's favorite cheesecake recipe. Reply to me with a memo I can review and send to SLL about the propriety of this outreach, possible risks you foresee, and your recommendations for safeguards.

Our client, SLL, offers discounts to senior clients who opt into receiving texts about new products and services when they apply for loans from SLL. A prospective customer, Angie, agreed to receive marketing texts for a 10% discount on a mortgage for her crafts store and verbally told her loan officer that he may communicate updates and concessions from SLL via text. Angie is now filing a complaint against SLL for causing her to be “inundated with texts.” She claims that the discount is coercive for elders. Can you analyze the merits of Angie's complaint? Please reply to me with a short summary of your conclusions and a brief explanation in reference to the attached memo, laws, and SLL's policies (assume they were followed) in a few paragraphs.

We just received a Civil Investigative Demand from the Federal Communications Commission (“FCC”) regarding our text marketing campaign to promote our reverse mortgage product. The interrogatories indicate that we utilized an automated telephone dialing system to send text messages to 78,000 seniors without securing their express written consent in violation of the Telephone Consumer Protection Act (“TCPA”). 6,430 of those seniors opted out of text communications previously, 526 are on the Do Not Call Registry, 1000 were texted by a third-party marketing agency we hired to promote the product, and 650 were texted customers of SLL being notified of a data breach. I anticipate that we will be fined and that the fine will include both “willful or knowing” and “National Do Not Call Registry” violations. Please calculate the total maximum amount that SLL will be fined (based on the current fine amounts in December 2025) and send it back to me. Also break down the fine into its "National Do Not Call Registry" and TCPA components. If needed, round the amounts to the nearest dollar. Concisely explain your reasoning. Just print the answer straight back here.

In addition to the 15,000 sq ft rented to AI Automation Group, LLC (“AIAG”), MGR Real Estate, Inc. ("MGR") rents a total of 157,235 sq ft. of space to the other tenants in the building. Using the FINAL version of the Lease Agreement between AIAG and MGR, calculate the total amount of AIAG's Additional Rent given the following Operating Expenses: - Janitorial services: $70,000 - Trash and recycling: $12,500 - Common Area supplies: $17,500 - Property taxes: $260,000 - Property insurance: $40,000 - Base management fee: amount set forth in the Lease Note the scrivener's error for AIAG's total square footage (corrected to 15,000 sq ft) and proportionate share (corrected to .073) were caught and corrected in the final, executed copy. Provide the final number (rounded to the nearest whole number) as a reply to me here.

Can you please calculate the z score of US 2024 Average Monthly Revenue per Head, for all of Impact’s sites? Use a distribution of US 2024 Average Monthly Revenue per Head per site for all the sites in the attached file, which has the monthly US operational data for all of Impact’s and competitor’s sites. You can allocate the yearly revenue from the respective P&L equally across all the respective sites and months. Tell me here the z score of only the Impact site with the highest absolute z score, and the SiteID of this Impact site. Use the standard deviation formula for sample, not population. Round the final answer to two decimal places. Write back to me with what I've asked for.

We need to perform a payback period analysis for the investment to upgrade Lorexa's equipment to adopt continuous manufacturing. The methodology and results of the previous cost-benefit analysis of upgrading Lorexa's equipment, are in the attached memo. Based on recent research, we have identified the following increased benefits from continuous manufacturing: 1. The new target yield for equipment types will be 99.99%. This should further lower the cost of input material as calculated in the Lorexa Equipment Performance dataset. 2. The reduction in scrap cost, energy cost, cost of downtime, cost of planned maintenance, and maintenance feed will be twice the previous analysis. The calculated values for these from the previous analysis are provided in the table at the bottom of the memo and can be used directly to re-calculate the increased benefit from continuous manufacturing. 3. The number of equipment required in each category will be 50% lower (rounded to the nearest whole piece of equipment). The data in the 'batch summary all' tab of the Lorexa Equipment Performance dataset should be used as the source of truth for the current equipment count. Please let me know the following: 1. The new total savings from adopting continuous manufacturing 2. The new total one-time investment needed to upgrade Lorexa equipment 3. The payback period in years Round the dollar amounts to the nearest $0.01 and the payback period to the nearest 0.01 years. Print the answer as a message here.

Given the US imposed tariffs on the import of pharmaceutical materials from Germany, India, China at the rates 10%, 15%, 20% respectively, determine the impact of tariffs as a percent increase in predicted total cost of drug materials for 2025 compared to the same without the tariffs. State both % increase in cost and the dollar amount of the total cost including tariffs. Assume the suppliers and location remain the same. Also, calculate the predicted total cost of drug materials for 2025 if the client switches to exclusively domestic suppliers, using the average of the average percent material cost increase reported by latest group of six expert witnesses. State this average % value in the output. Assume the data reported by expert witnesses is per year. You can use the predicted total cost of drug materials for 2025 without the tariffs as the baseline. Round final outputs to two decimal places, giving $ values in billions. Return back to me what you find, printing the values out here.

Analyze the attached report and the continuous manufacturing report to state the FDA-encouraged manufacturing style that differs from traditional methods which is mentioned in both reports. Using the site-level KPI files and the savings percentages from the reports (using midpoints for ranges), calculate the 2024 YTD potential savings for Impact across Materials, Labor, and Overhead by shifting to this approach. Use "maintenance" savings for overhead if not specified. Next, using Impact's P&L, calculate the dollar value of a 20% reduction in US 2024 COGS (note that PnL values are in $Ks). Determine if the total estimated savings from above exceed this value. Additionally, state if any category-level savings exceed 10% of total US 2024 COGS. Finally, using the reports, cite two North America or EMEA-based pharma companies using this manufacturing style and state any reported cost reductions. Return all findings to me in here as a single message. Round output currency values to the nearest cent, but do not round intermediate steps.

Using the latest materials cost reduction analysis, assume Impact reduces its 2025 materials cost with current supplier relationships by 20%. Benchmark Impact's resulting 2025 materials cost as a percentage of revenue against the expected 2025 median cost of materials (given for each company as a percentage of total revenue). Do it for the six key competitors. To determine the expected 2025 materials cost for each competitor, calculate and apply each company's 2020–2024 materials cost CAGR to their 2024 material costs. To forecast total 2025 revenue, for both Impact and for each competitor, apply the 2020–2024 individual revenue sub-line item CAGRs to their corresponding 2024 values, and sum to total 2025 revenue. Reply to me with a message here, giving: the median value of the expected 2025 cost of materials (as a percentage of total revenue) among the competitor set. Also give Impact's expected 2025 cost of materials as a percentage of revenue, and the absolute value of the percentage point difference between the two. In your message, return all percentage and percentage point values to the nearest 0.01%.

Using the research found on pharma marketing and articles around competitor shifts in SG&A spend, identify key trends that Impact can apply to SG&A spend that could reduce overall costs. In particular, please note any specific competitor stats around spend reduction related to these trends, as it can help indicate the potential cost savings for Impact. Please write summary on changes in pharma marketing, as well as sub-points for specific actions they are taking and any percentage decrease in expenses amongst competitors from files. Calculate how much Impact could save if they reduce spend by the straight average of reduction across competitors in the same cost categories. Additionally, include a summary on change in real estate spend and include any percentage decrease in expenses amongst competitors from files. Also, include a calculation of how much Impact could save if it reduces spend by the straight average of reduction across competitors. Write me a message with all the info above. Round to the nearest $.

Calculate the difference in dollars between Impact's actual 2024 US COGS and the hypothetical US COGS if they reached the straight average of COGS as a percentage of revenue given in Exhibit 2 of the BCG report. - Use absolute values for all calculations. - P&L values are in thousands of dollars ($K). - Round all percentages to the nearest whole percent before calculations. - Round all dollar values in the calculations to the nearest $0.01. - Round dollar to the nearest integer in your output. State whether the Site Ops savings target in the check-in deck is a "realistic target." That means it must be less than or equal to 1.15 times the value determined above. Please give me your answers here.

Calculate 2024 manufacturing overhead (MOH) costs in $ for each Impact plant. Use the midpoint value of the benchmark ranges for the specific product type manufactured at the plant from the attached file applied to each plant's COGS. Impact's products can be categorized into product types using the 2024 Annual Report. Assume that Papinex and Strevalent are manufactured in Legacy facilities, while Lorexa, Darcylis, and Noralix are produced in Typical Mid-Maturity plants. Derive plant-level COGS from the 2024 US COGS in the PnL using the following allocations: Lorexa (17.71%), Darcylis (8.57%), Papinex (23.43%), Strevalent (29.71%), and Noralix (20.57%). Note that all PnL dollar values are in $Ks. Report the total expected savings at each plant and in total across plants, based on two initiatives: the extension of asset useful life and componentization. Assume plant depreciation is 15% of the calculated MOH cost, with the asset life extension providing savings of 17.5% of that depreciation and componentization providing savings of 5% of the total MOH. Last, identify which specific product type is associated with the highest overall expected savings across plants. Return back for me a message with: a) MOH cost at each plant, b) total expected savings across all plants from extension of asset useful life and componentization, and c) a statement identifying the product type that is associated with the highest overall expected savings. Report currency values in $ and round to the nearest $.

Review industry reports to determine the range of industry-wide reductions in force (RIFs). Using Impact’s revised SG&A breakdown, calculate the cost savings Impact would achieve by reducing its sales force by comparable amounts, testing both the low and high ends of the range. Using 2024 figures, assess whether these reductions are sufficient to achieve a 20% total reduction in Sales & Marketing expense. If not, calculate the percentage reduction in the sales force required to reach the 20% Sales & Marketing cut. Round final answers to the nearest 0.01% or $0.01. Print out your findings to me here now.

Using the McKinsey wellness report and our buyer profile analysis, recalculate Supplement pricing with two factors only: Vitamins and Supplements preference and increased spending. Apply as multipliers to base the current recommended base premium %. Show the new recommended price The final answer should be formatted to US$, rounded to 2 decimal points. Write it out here.

What is the impact on the forecasted 2027 EBITDA in Brazil if we reallocate half of a 20% savings on ingredients towards increasing our marketing spend? We want to achieve a 10% bump in sales. If the result in Brazil is better than +4.583%, run the same scenario in Japan's forecast. Round all inputs, intermediate and final calculations to 4 decimal places. Return all your final outputs to me here as a message.

Calculate and report the following metrics: 1. The Overall Vitamins Purchase Intent Score for each buyer segment. 2. The buyer segment with the highest average purchase intent score for Vitamins 3. The Vitamin Purchase Intent Index 4. Whether the Vitamin Purchase Intent Index Rating is desirable or undesirable Vitamin Purchase Intent Index is a composite metric calculated as: Average of Vitamins Purchase Intent Score across all segments × Segment Weight (i.e., Average of Population Size of buyer segment with highest purchase intent score for Vitamins × Average of Loyalty Score of buyer segment with highest purchase intent score for Vitamins) x PureLife Awareness Factor (i.e., Survey Respondents who said ‘Definitely yes’ or ‘Probably yes’ to trying PureLife divided by total Survey Respondents who have heard about PureLife). Vitamin Purchase Intent Index Rating is determined as: Vitamin Purchase Intent Index of >=8 is considered 'Desirable' other wise is considered 'Undesirable'. Base your analysis off the survey data and buyer behaviour data. Percentage values must be formatted to the nearest 0.01%. Dollar values must be formatted as US$ with 2 decimal places All other number calculations should be formatted to two decimals. Post your answer straight here.

Let us assess average price points of sub-categories in 2027 across these 7 markets - Australia, China, Germany, India, Mexico, UAE and UK. The client has informed us of some errors in the data. TAM - 2020 Value is actually TAM - 2022 Value. TAM - 2025 Volume is actually TAM - 2023 Volume. Let's use historic CAGRs for TAM Value and TAM Volume to calculate 2027 TAM Value and Volume respectively. Average price point ($M/ton) can be calculated by using TAM Value ($M) and TAM Volume (tons). Consider all values for Australia, China, Germany, India, Mexico, UAE and UK put together. Round off all final values to 2 decimal places. Report the following in a short reply to me: (1) What % of sub-categories have an average price greater than or equal to $300K/ton (2) Which sub-category has the highest average price? (3) Which sub-category has the lowest average price? (4) What is the difference between highest and lowest average price sub-categories?

Refer to all the market sizing files and the competitor benchmarking files. Consider only collagen, meal replacement and keto sub-categories. Using the 2025 market data provided, calculate the revised D2C market share % for each market (at combined subcategory level). Assume: Online penetration drives the addressable online TAM D2C represents a fifth of the Online TAM D2C revenue is derived from the company's current share of online market value. Report the top 3 markets with highest revised D2C market share % and their values. Round all final values to 2 decimal places. Concisely give me your reply in here.

We want to assess the net opportunity scores across markets. First, compute Market_Attractiveness_Index for each market. The formula is: 0.25* Average Sustainability_Score + 0.2* Average Revenue_CAGR_23_25_% + 0.15* Average Gross_Margin_% + 0.15* Average Formulation_Complexity_Score + 0.15* Average Ecommerce_Logistics_Maturity_Score - 0.1* Average Regulatory_Complexity_Score Next, calculate each competitor's share in the market (Competitive_Share_%). The formula is: (Revenue $M-2020 of the competitor / Sum of Revenue $M-2020 for all competitors in the market)*100 Also compute Competitive_Concentration_Index and Net_Opportunity_Score for each market. Respectively, the formulas are: Sum(Competitive_Share_%^2) across all competitors. Market_Attractiveness_Index - 0.004 * Competitive_Concentration_Index Round final calculations to 2 decimal places. Now, reply a short message to me with the following: 1. Which market has the highest Net_Opportunity_Score and what is its value? 2. What is the difference between the highest and lowest Net_Opportunity_Score markets?

Analyse market cost efficiency using the Cost Structure Score methodology for PureLife’s Vitamins strategy: - Calculate the Total Cost Structure Score for each market under the weighted methodology using the following components: Import Cost Score (35%), Distribution Cost Score (35%), and Total Cost Load Score (30%). - Show the country with the highest cumulative cost structure score and the country with the lowest cumulative cost structure score, with each entry showing the market name and corresponding score side by side (e.g., China – 3.81). Format percentages to 0.01%. Round all numbers and intermediate calculations to two decimals. Output the answer in here.

PureLife needs a validated UK market potential calculation for its vitamins and dietary supplements business. The current approach relies only on consumer behaviour metrics and overlooks the UK market’s documented growth trajectory. Using PwC’s research report shows the market is expanding faster than historical trends. Recalculate market potential by combining consumer behaviour inputs with PwC’s growth insights to provide a forward‑looking figure for strategic decisions. The final answer should be formatted to US$, rounded to 2 decimal points. Present your findings as a short reply here.

We need additional analysis for 2025 cost per activated member (CPAM) under 3 scenarios. I want you to edit the PnL workstream draft deck with this new information you'll calculate--> the 2025 CPAM ($ per activated member) for As reported, Profitable acquisition, and Industry normalized. Use the loyalty marketing memo for total 2025 CPAM and loyalty + reactivation spend, the PnL master profitability spreadsheets file for active and segment member volumes and segment , and the segment profitability assumptions spreadsheets file for segment level economics. Use marketing_benchmark.pdf for industry activation benchmarks. First, report the "as-reported CPAM" exactly as documented in the materials, corresponding to the 2025 full year projected CPAM. Second, calculate the "profitable acquisition CPAM" by focusing only on traveler segments that generate positive EBITDA per member. Allocate Summit's total 2025 loyalty and reactivation spend across segments based on each segment's share of total customer acquisition cost as calculated using the segment level numbers. Determine each segment's activated members using an assumed activation rate of 53%. Use loyalty and reactivation cost and active members to compute the the total cost per activated member across only profitable segments. Third, for the industry-normalized case, use the profitable segment scenario analysis and replace Summit's actual activation rate with the benchmark activation average from the industry data in marketing_benchmark.pdf. The benchmark activation average should include all competitors in the file and leverage midpoints for ranged values. Round all CPAM values to two decimal places for the final deck.

Using only 2024 values from IHG's annual report, tell me: 1. Calculate the room-weighted average occupancy rate for IHG across all of its hotel brands, globally. 2. Using regional occupancy rates and ADRs by brand, calculate IHG's global room-weighted average RevPAR. 3. Calculate IHG's room-weighted average RevPAR as a % of the average RevPAR for the industry, globally. ## Notes 1. Use Fee Business data where possible. 2. ADR refers to the 'Average Daily Rate'. 3. Use the definitions of RevPAR and ADR as stated in the annual report. 4. Where ADR or occupancy data for a brand is not available in a given region, assume the value for that brand is equal to the room-weighted average across all brands with available data within the relevant region. 5. Derive global RevPAR using occupancy rates and ADRs by brand, rather than the report’s stated RevPAR values by brand. Report occupancy rates as a % and RevPAR as a $ value. Report all numerical values to 1 decimal place. Do not round calculation steps. Print out the values to me in here.

What are the projected 2026 aggregate free night bookings for Marriott, Hilton, and Hyatt in New York, London, and Tokyo combined? Assume all of Summit's 2026P free night certificate redemptions from the PNL (in thousands) are projected to be exclusively in either New York, London, or Tokyo. What would Summit's expected free night relative market share be in each market? Provide values to one decimal place. Express RMS as a percentage. Print your reply here.

Give me the scores for Summit’s segments, using the Summit-Specific Survey. Your scoring system must follow these rules: - For the average satisfaction with status benefits from the file “14. Summit_Tier_Status_Experience_Raw_vtest.xlsx”, grant 1 point if it is greater than 2, grant 1 point if it has had no status loss in the past 2 years. Also grant 2 points if more than 23% of respondents in the segment have a current tier equal to "none". - Deduct 1 point if the loyalty score from the file “9. Summit_Loyalty_Outcome_Summary_Raw_vtest.xlsx” is below 2 but add 2.5 points if it's above 2. Present the results in a new one-slide deck. Give all answers rounded to one decimal point.

Determine which years have the highest and lowest average stay lengths for Bronze Tier members. For each of those years, report the average stay length for Bronze Tier members who stayed at a Summit Express property, segmented by whether they used a co-branded credit card or not. Use the latest merged member profile data spreadsheets file and the stay & booking data spreadsheets files for the analysis. Use check-in date to determine the date of stay. Return your answers to me here, with numerical values rounded to the nearest 0.1.

Can you use the Summit's business case and provide the revised sum of net cash flow ($m) for scenarios 1, 2, and 3? Apply the scenario-specific benefits multipliers provided in the attached file to adjust the annual benefits relative to the base case, while keeping all costs unchanged. Can you make sure to round your final answers to two decimal places? Provide your answer straight here as a message.

Using 'Accor Presentation.pdf', 'Hilton Annual Report.pdf', 'Hyatt 10K.pdf', 'IHG Investor Presentation.pdf', and 'Marriott-2024-Annual-Report.pdf': 1. Calculate, for each of Summit's key competitors, the total number of available room nights in 2024. 2. Calculate the standard deviation of available room nights for Summit's key competitors. 3. Determine whether or not Summit's available room nights is at least one standard deviation above the mean of its key competitors'. Notes and Assumptions 1. Summit's key competitors are Accor, Hilton, Hyatt, IHG, and Marriott. 2. Assume Summit had 741,237 rooms as of 31 December 2024. 3. Use each competitor's latest reported room count in your analysis. 4. Assume all rooms were available every day of the year. 5. Include all owned, leased, managed, and franchised rooms as well as rooms specifically called out as "unbranded" or "strategic partner"/"exclusive partner" in the room count. For those not explicitly labeled in this fashion, use stated room totals. Output your response directly to me here, reporting the available room nights and the standard deviation of available room nights in millions. Report all numerical values to 1 decimal place.

Determine CAGR for total points sold over the entire covered time period from the Profit and Loss Master Profitability Workbook. Apply that growth rate to average points per member from the Member Points Summary (Balance & Expiry) Sheet to project points per member (PPM) per year, 2 years out. Assume the average in this data set is the year end 2025 average. Return the state Average PPM and CAGR of points sold for the base year and each of the two years out in a New spreadsheet. Round to two decimals.

Was the data Ecan provided during the meeting (noted in the team sync-up from 11/21/25) on the number of members that have stayed during Q3 2025 correct? Use our data from the 11/17 stay and booking data to assess it. Report here if Ecan provided the correct data or not. If not, give the correct value.

Estimate the contribution (in $M) that Summit's loyalty program members will make to its 2025E Program EBITDA in $ millions. Assume that Summit's loyalty program members will contribute, as a % of 2025E Program EBITDA, an amount equal to the member-weighted average % of stays by members in the most recent financial year across Hilton, Hyatt, and Marriott. Use our profitability workbook, the 10Ks for Hilton and Hyatt, and Marriot's annual report for 2024. - If data is unavailable for any of the three competitors listed, discard that competitor in your member-weighted average % of stays by members calculation. - If a range is stated instead of an exact numerical member count (e.g. we have 'over 10 million members') use the headline value ('10 million'). Write your answers out here. Report all numerical values to 1 decimal place.

Prepare a new memo, and put it a new document file you make. I will be sending it to James Brown, CEO of Summit, on behalf of The Strategy Team. It should outline the total cost of labor for each phase of Summit’s turnaround effort based on the operational gantt RACI. Effort is calculated using 20 workdays per month and 8 hours per workday. The duration of the task “Property-level benefit alignment” must be adjusted so that its total duration equals the combined durations of all tasks beginning in Month 1. Using the same data, identify which team contributes the greatest total effort, assuming that teams tagged “R” in the RACI table generate 70% of the total effort required for each task, teams tagged "A" generate 20%, and the remainder is split evenly between remaining tag categories. Include the name of the team and the value of their total effort in the memo. Then, assuming all employees working on the turnaround effort are impacted by the launch staff training program (as outlined in the loyalty turnaround strategy) and that training only applies to these employees, calculate and state the average amount of time each employee from the most contributing team will need to dedicate to efforts where they are tagged as "R", rounded to three decimals. Assume that 50% of employees impacted by the launch of the training program belong to the most contributing team. Present values as integers unless I told you otherwise.

Can you edit the existing Grove Residency Agreement for Thomas Whitaker to make a revised residency agreement template that we can use for new residents. Please also update/add to the last sentence of the paragraph J in section IV of the agreement based on the 2025 Grove internal operations manual. Thanks.

A real-time Rapid Response Content (RRC) update is automatically delivered and it causes performance degradation in a customer’s environment. The customer did not stage deployments, had no rollback plan, and used the system in a critical operational setting. Can you review the board memo, along with Crowdstrike's standard and proposed MSA and let me know if CrowdStrike bears the risk for service interruption caused by the RRC? Explain your response and tell me what documents inform your assessment. Write our your findings to me here. Thanks!

Review the following: the statement dated July 19, 2024 from George Kurtz, the Form 8-K from Crowdstrike dated July 19, 2024 and Rule 10b-5. Based solely on these documents, identify any statements made by Kurtz that are clearly and unequivocally misleading under Rule 10b-5. For any problematic statement(s), identify the missing context that is required for them. Reply back to me with your findings as an answer here

Review only the following: CrowdStrike Form 8-K 2024.pdf Form 8-K Standard.pdf DELTA AIR LINES, INC. 8-K.pdf Today, August 9, 2024, we discovered that the Falcon sensor outage may have been caused by a cyberattack. Our cybersecurity firm is processing the data and has advised they will have a conclusive determination in 7 days, but for now, believes that there is a 30% chance that a cyberattack was the underlying cause. Determine if the Company should file a Form 8-K, and if so, what date and under what item the disclosure should be made. Respond back to me here with your findings.

Can you review Sections 8.4, 9.1, 9.3,10.1,14.7 in our MSA, against the below outage scenario? A faulty update causes endpoint failures. The customer sends a breach notice by email to a support inbox, seeks lost revenue and lost data costs and asserts that CrowdStrike must indemnify all losses. For each of the clauses that applies to the facts above, state whether CrowdStrike is liable or not, and provide a one-sentence reason for the conclusion. Put it in a new doc file you create.

We want to get ahead of preparing a settlement agreement for the Delta matter. Can you let me know which of Delta’s original causes of actions are no longer live as we head into the pre-trial conference in March? You can ignore the derivative claims, though I would like to know if punitive fees are likely to apply and whether there is a limit to them based on CrowdStrike’s litigation case file against Delta. And, assuming that IronPeak agrees to insure us during mediation next week, please also estimate our budget as we head into trial. Reply to me back in here with your view.

CrowdStrike sent the attached list of historic stock transactions (note the document lists transactions for both Class A and B stocks). We need to determine if any of these people would be a part of the class in the Plymouth County lawsuit, assuming no opt-outs. Look for the class requirements and the attached list of transactions, identify which individuals from the upload purchased Class A stock, and which of those did so during the Class Period to qualify for the class. Make a new sheet and list their names and each transaction for which the individual qualifies.

We've received the attached warranty claims for some of our products. Please review them. Then, edit the existing existing "product purchases" spreadsheet to show the maximum refund amount a customer could receive for each product purchased.

Analyze whether Counts 1-7 of Delta's Complaint against CrowdStrike fall within the limitation of liability clause in Section 10.1 of CrowdStrike's standard MSA, indicating "Covered" or "Not Covered" for each count. Reply back to me here with your assessments.

MLT is a CrowdStrike customer severely affected by the outage. MLT filed a lawsuit for negligence seeking to recover damages arising from the outage. Additionally, MLT successfully transferred venue to Georgia. CrowdStrike is considering moving for summary judgment on the basis that the outage does not rise to the level of gross negligence and the exculpatory clause in the contract applies (the "Motion"). Can you tell me if CrowdStrike is likely to succeed in its Motion? Reply to me with your view, giving me a Yes or No and a short explanation.

CrowdStrike's general counsel sent us a complaint filed in U.S. district court by Larry Stone, alleging violations under Sections 10(b) and 20(a) of the Securities Exchange Act of 1934, as well as Rule 10b-5 arising from false statements or omissions regarding its Falcon Sensor, the update of which causing the widely-reported July, 2024 service outage, leading to his Class A stock suffering a considerable loss in value. Review our directories and the attached file for analysis and reply back to me with a short memo in a new dox file. Determine whether the Plymouth matter's class, which is pending certification and does not show a related opt out, is likely to support a successful motion to dismiss Stone's suit.

An independent investigation of Crowdstrike's Channel File 291 outage revealed that the devices affected were mostly Microsoft or Google devices, and no Apple devices were affected at all. Is another filing with the SEC required at this time? Please give me a yes/no with a clear explanation back here so I can understand your answer and what the legal basis is for your assessment.

Run a new DCF scenario. Make the following changes to the metrics in the projection period for Solventum: - Update Sales of Product, Sales of Software, and Rentals from 2025 to 2029 to be a 2-year moving average growth rate. - Cost of Product (%of Total COGS), and Cost of software and rentals (% of Total COGS) from 2025 to 2029, to be a 2-year moving average of previous years. - SG&A as % of sales and R&D as % of sales from 2025 to 2029 to be a 2-year moving average of previous years. Output the following - EV of Solventum from the DCF model - Implied DCF share price of Solventum from the DCF model Report share price in $ and round to 2 decimal places, and report EV in whole numbers and in millions ($m). Print your answer here.

Using the accretion dilution model, produce the deliverables outlined below. Round all the figures to whole numbers, present monetary amounts in $ mm and display percentages to two decimals places. The client wants to make the following adjustments to the DCF model. - Revise the COGS assumptions for both Cost of Product & Cost of software and rentals as a % of Revenue, and make it a three-year moving average for 2025E and future years. For years 2026E, 2027E, 2028E and 2029E, add 25 basis points to each year's three-year moving average. Update the gross profit based on these assumptions - Revise the Selling, general and administrative expenses by making it a three-year moving average for 2025E and future years - Revise the Research and development expenses to 10% of sales for years 2026E through 2029E if prior years discounted cashflows exceed $1,000 mm and apply a three-year moving average for years where discounted cashflows are below $1,000 mm - Revise the revenue growth assumptions by changing 2025E growth to -0.5% for both Sales of Product & Sales of Software and Rentals. For years 2026E through 2029E, use a three year moving average for each year and subtract 50 basis points from that calculated growth rate each year - Use a WACC calculated by using only Zimmer Biomet and Smith & Nephew in WACC Calculation as comparables - Use a terminal growth rate of 1.5% Return a short message explaining to me: 1. Sum of Discounted Value of cashflows for 2025E through 2029E excluding the terminal value. 2. Terminal Value. 3. Discounted Terminal Value. 4. Enterprise Value 5. Discounted Terminal Value as a percentage of Enterprise Value.

Assume that no transaction happens with SOLV. Now, calculate the impact of a large investment in AI for MMM shareholders as an alternative capital allocation strategy using the accretion dilution model. Print me back the answer right here, showing: Total new debt from MMM's AI related initiatives Total debt Total after tax Interest Expense PF Net Income Pro Forma EPS EPS accretion/dilution Ending cash Using the following assumptions calculate the impact to EPS for MMM shareholders assuming no transaction with SOLV: - Required investment in technology of $5 billion - half of the investment to be financed from cash in hand and the rest with new debt at a 8.5% cost - Reduction in work force resulting cost savings pre tax of $1 billion - Severance cost associated with the reduction in work force of $4 billion to be financed with $500 million of cash in hand and the rest with new debt at a 12% cost. Assume 50% of the total severance costs will be paid upfront and the remainder over a 4 year period in equal amounts with the first payment beginning in year 1. These costs should be accounted as an expense and not capitalized. Any remaining cash from the debt not used upfront goes to the balance sheet - Increase in power costs associated with the investment in AI of $600 million per year - Apply an incremental 10% tax on power cost for every $100 million of power spend as a pollution compensation policy. Assume the 10% tax doubles for every $100 million of incremental spend. Assume this tax is embedded in the cost. - Assume to bolster balance sheet, MMM also issues equity for equivalent of $2 billion dollars at a issuing price of $250 dollars per share Remember in your answer: EPS should have two decimals. Percentages should have two decimals. All other values given as $ in millions, no decimals.

We want to do some historical analysis. Using stock prices for the 250 trading days up to Nov 19, 2025, calculate the beta for SOLVM to the XLV ETF. Then over the same time period, calculate the beta for MMM to the XLI ETF. Using the CAPM, calculate the cost of equity (Ke) for each company. Assume an expected market return of 12% and a risk-free rate of 3.95%. Print the answers back here. Use the accretion dilution model for stock prices for SOLV and MMM. Use the XLV Healthcare ETF and XLI Industrials ETF files for stock prices for the XLV and XLI ETFs. Use adjusted close prices. Present betas as a decimal, rounded to two decimal places. Present the cost of equity as a percentage, rounded to 1 decimal place.

In the Accretion / Dilution Model, use the capital structure and shares outstanding assumptions for Solventum (SOLV) to calculate levered free cash flow and price per share. Specifically, use the following incremental assumptions: - Revenue Growth Rate: 2.0% beginning in FY25E through the end of the forecast period FY29E - SOLV Interest Rate: 5.50% to forecast interest expense - Other expense (income), net: Remains $0.00 in each period - Cost of Equity: Use the average of cost of equity of the three comps used in the WACC calculation (Exclude Zimmer Biomet) - Capex: 110.0% of D&A beginning in FY25E through the end of the forecast period FY29E With all that, calculate the implied price per share to 2 decimal places. Reply straight back to me here.

Estimate impact to EPS of MMM divesting 1/3, 2/3 or 100% of its holdings in SOLV. Using the accretion dilution model, calculate the EPS impact of selling the different amounts of shares. Assume that MMM has to pay a 20% tax on the proceeds from the divestiture of the first 1/3 of the shares, a 25% tax on the next 1/3 and a 30% tax on the last 1/3 of the shares. Assume that net proceeds from the divestiture are invested in an instruments that pays an 8% interest rate upfront and that interest income is taxed at 35%. Tell me: 1- Percentage of SOLV Divested 2- EPS Accretion / Dilution 3- Pro forma net income Pro forma net income should incorporate the impact of investment of net proceeds from divestiture at 8% and after tax. All figures should be presented with two decimals. Output the final results by making a new Spreadsheet file.

Present all $ output values in million, round all output values to 1 decimal place. Get the following directly from the accretion dilution model: - Enterprise Value (DCF output) - PV of Free Cash Flows (2025–2029) - Terminal Free Cash Flow (2029) - Terminal Growth Rate (g) - WACC Assume that 3M ownership stake = 20% and: 1. Compute 3M’s stake value using the current DCF Enterprise Value. 2. Reduce each of the FCFs for 2025–2029 by 10% and recalculate the PV of those 5 cash flows using the 7.6% WACC. 3. Recalculate the Terminal Value using the reduced 2029 FCF but keeping the same 3% terminal growth rate and 7.6% WACC. 4. Combine the new PV(FCFs) and PV(TV) to estimate a downside Enterprise Value, and compute the implied downside stake value for 3M. 5. Calculate the percentage loss based on the implied stake values Present your findings in a new deck with: - 3M's Current Implied Stake Value - Sum of PV of Revised Discounted FCFs - Recalculated Terminal Value discounted to the Present - 3M's Revised Stake Value - Percentage Loss

Using the merger model and 0000066740-25-000089, please calculate: 1. The Number of Shares Repurchased. 2. The Revised Enterprise Value. 3. The Revised EV/EBITDA multiple for 3M. 4. The Revised P/E ratio for 3M. Present all monetary values in million dollars, rounded to nearest million. Round the number of shares, ratios and percentages to two decimal places. Print your reply back here as a short message. Assumptions and guidance for deliverables: - Note that debt to equity ratio for 3M as of end September 2025 can be calculated using 3M Total Equity in the other file. - Assume that 3M Share price dropped by 8% before the buyback and remained flat after that. - Assume that the amount of proceeds from sale of Solventum are used to paydown debt by 3M to bring debt to equity ratio down to 2.60x. - The left over proceeds from sale of Solventum after paying debt is used by 3M to repurchase shares. - Assume that EBITDA can be adjusted to 2025E EBITDA by multiplying it with 1.05 for simplicity. - For the enterprise value working, use the cash in tab "Assumptions S2". - For the Revised P/E ratio, use the TTM net income given in "Assumptions S2" tab.

Calculate the intrinsic value per share of Solventum based on these assumptions. Use the accretion dilution model. - Lower the gross margin % to 52% for the forecast period 2026E through 2029E. - Change Research & Development expenses as % of Sales to 15% wherein the discounted cashflow is higher than $1,100 mm in the preceding year, and to 10% wherein the discounted cashflow is lower than $1,100 mm in the preceding year for the years 2026E through 2029E. - Remove the comparable Koninklijke Philips from the WACC calculation. - Change the terminal growth rate to 2.0%. - Convert fixed CAPEX to a % of sales, and project using the last 3-year moving average to calculate it for the years 2025E through 2029E. - Update the discounting with 1/12 for 2025E, given that we are at the start of Dec 2025. Adjust the future years discounting convention accordingly. - Pull shares outstanding and Net debt from the "Assumptions S1" tab. Round the final deliverable to two decimal places and express in $ terms. Give me your response right here.

Evaluate the sensitivity of EPS impact to synergies and cost of new debt for the acquisition of SOLV by MMM using the accretion dilution model. Create a new tab in the file, with a table to show EPS impact (accretion or dilution). - Show synergies in increments of $300 million (300m, 600m). - Show cost of new debt in increments of 5ppts (15%, 20%). - Show the price premium per share at different synergy levels. - Assume the price premium per share is 25% for no synergies and increases by 2.5ppt every $100 million in synergies. - Two dec points only.

Under Scenario 1 in the Accretion / Dilution Model, 3M will use 50% debt / 50% equity. $250 million in pre-synergies were identified. Use the following assumptions in the Assumptions S1 tab of the Accretion / Dilution model: - Pre-Tax Synergies: $250mm - Control Premium: 25% - % Stock: 50% - % Debt: 50% - Interest Rate on New Debt: 8% - Fees: 1.5% of Updated Take-Private Enterprise Value - Solventum Share Price: Use the Solventum VWAP for the 75 trading days up to November 19, 2025. To calculate the price for each trading day in VWAP, use the formula (High + Low + Close) / 3 We need the Revised Accretion / Dilution percentage for 3M. Round percentages to 2 decimals points. Write back to me with your response now.

Perform a value-creation analysis based on scenario 1 using the accretion dilution model to assess whether Scenario 1 creates or destroys value for 3M Shareholders. Assumptions: 1. 3M Levered Beta is 1.15 2. Risk free rate is 4.00% 3. Equity risk premium is 5.50% 4. Calculate cost of equity using CAPM: Risk-free rate + Beta*Equity Risk Premium 5. Implied Return = SOLV Net Income/Purchase Price Paid 6. Assume Spread is calculated by Implied Return - WACC 7. For PF WACC, use 3M's existing cost of debt from Scenario 1 and assume the incremental acquisition debt carries a 10.00% interest rate (consistent with Scenario 1 assumptions). Print the output here. Format all final percentages to two decimal places.

Solventum (SOLV) announced a $2.0 billion strategic expansion funded with 70% debt and 30% equity, which caused its share price to increase by 5% relative to the closing price on 11/18/2025. Using the most recent accretion/dilution model rerun scenario 1, assuming the updated SOLV share price. Determine the revised premium 3M would pay under the updated assumptions to keep EPS accretion flat relative to the level from the original 30% premium case. Write back to me with what I requested. In the output, round the percentage to two decimal places.

In the Accretion / Dilution Model, assume stock-based compensation equals 3% of the sum of operating expenses and cost of goods sold, calculated using the model’s existing methodology, and added back to free cash flow in each forecast year. Using the “DCF-Solv” tab, provide an updated estimate of the present value of forecast-period cash flows, excluding the terminal value, under the following assumptions: - Mid-year discounting - Revenue growth of 1.0% from FY2025E through the end of the forecast period Give me figures in USD millions, rounded to two decimal places. Reply right here.

In the Accretion / Dilution Model, there is an error in the calculation of Cost of Product and Cost of Software and Rentals. Calculate the correct revised implied Enterprise Value after the divestiture. Please fix the linking and use the correct formula in the "DCF-Solv Tab" to calculate Product Gross Margin and Software & Rentals Gross Margin to help with the next analysis: In the Accretion / Dilution Model, Solventum's Purification & Filtration Segment (P&F) is being divested at the end of 2025E / beginning of 2026E and should be reflected in financial projections in the "DCF-Solv" tab. The current assumptions in the model for the Purification & Filtration Segment are as follows: - Revenue Growth Rate: 2.0% annually after 2024A - Gross Margins: P&F Gross Margins constant since 2024A - Operating Expenses: P&F Opex % of Revenues constant since 2024A P&F's 2024A results can be in Solventum's 2024 Annual Report. Round financial figures to 2 decimal points, putting them in USD millions. Write a reply to me here with the requested value.

Using the 3Q 2025 3M 10Q and the accretion dilution model, calculate the following deliverables. Present all values in millions ($mm), number of shares in millions (mm), and round to whole numbers. For percentages, two decimal places. Give me the answer straight back here as a message. Base your deliverables on the following assumptions: - For the projections of 2026E cashflow available for buyback, use the extrapolation formulae (12/9 multiplication convention i.e multiply by 12/9) for specific income statement and cashflow items to convert them from nine-months ending September 2025 to full year January to December 2025. For clarity, Income statement and cashflow items on which extrapolation formulae is applied include revenue, operating expenses, depreciation & amortization, Net interest expense, Net income, cashflow from operations and CAPEX (considered as sale of property, plant and equipment). - Assume a growth rate of 5% across specific cashflow statement items calculated using extrapolation formulae for 2025E to calculate the projected cashflow statement items for the year 2026E. Consider CAPEX as sale of property, plant and equipment for the above calculation. Cashflow items on which 5% growth is applied include cashflow from operations and CAPEX. - Use 3M data in "Assumptions S2" tab for required data in the accretion dilution model for scenario 2. Calculate for me: 1. The free cash flow available for buy back in 2026E using the above assumptions by incorporating cashflow from operations and CAPEX in the formulae. 2. The buyback capacity of 3M using the Cashflow available for buy back in 2026E calculated above, minimum cash balance of $100 million, existing cash balance and proceeds from sale. 3. The number of shares that can be repurchased by 3M with this capacity. 4. The percentage reduction in shares outstanding of 3M if the company uses its entire capacity for a buyback.

Our client, William Ito, shares custody of a child with Sarah Rodriguez. Can you please review his email (pasted below) and tell me how much child support needs to be paid and by whom? Assume the gross to net income conversion table and income share schedules for 2025 are the same as 2026. Please also give me the basic child support obligation. State all amounts to the nearest whole dollar value (but don't round any values when calculating). Then, in a single paragraph, please outline the key factual assumptions you made for the calculation based on the relevant employment documents on file and the relevant laws. Reply back to me with your answers as a message in here. ** Here is the part of William's email I'd like to know how much child support I should pay, since Sarah's likely gonna be unemployed for the next while (we were both at Chasing). I want her to take her time since she's a bit burnt out. At any rate, I think it'll probably take her three years to find a new job since there are limited positions and minimal turn-around for head of production roles; it's also unlikely that she'll find the same role. We agreed to be bound by Illinois family law in our separation agreement, and I'm currently on the following temporary parenting time schedule: every Monday and Tuesday overnight, and every other Friday to school on Monday morning.

Based on new information showing increased reporting of seizures in Bencontra patients with no prior history of seizures, Livyra is planning to update the prescribing information for Bencontra to include a specific warning relating to seizures as well as to make a corresponding update to the Highlights section to reflect the new warning. Can Livyra make these changes using a “changes being effected” supplement described in 21 CFR 314.70(c)(6)? In a message to the console, explain why or why not, and please keep your response to no more than five sentences. Consider the following sources: 1. "BENCONTRA - Seizures.pdf" 2. "Bencontra™ FDA Approved Label.pdf" 3. "21 CFR Part 201 (Drug Labeling).pdf" 4. "21 CFR 314.70.pdf" 5. "FR notice - supplemental applications proposing labeling changes.pdf"

Identify for each item below whether it could be used by the U.S. Food and Drug Administration (FDA) as evidence that Bencontra is intended by Livyra for use in pediatric patients: 1. bencontra_provider_contact List.xlsx 2. Livyra sales representatives disseminating to doctors unaltered reprints from peer-reviewed medical journals that discuss use of Bencontra in pediatric patients 3. BENCONTRA - dosage - children.pdf, if disseminated to doctors alongside a source publication supporting the dosage recommendations For each item, be sure to specify clearly whether it “could” or “could not” be used by the FDA as evidence that Bencontra is intended by Livyra for use in pediatric patients. Alternatively, if the answer cannot be determined without more information, please say that and explain what additional information is needed. Otherwise, no explanation is needed. Provide your response in a message to the console. Please consider the following additional sources when responding: 1. 21 CFR 201.128.pdf 2. Guidance from FDA on Unapproved Uses.pdf

Let's see how a 5% increase in COGS for all hybrid components affects overall gross profit results. Based on the client's request, we should recalculate the total 5-year COGS (€) and gross profit (€) for each of the three scenarios: retain, transition and exit. Report the updated numbers with the full dollars and cents. Print your reply as a message here.

We are making changes to the case model to highlight a downside scenario where China's embargo on critical minerals reduces the components' margins by 50% if they are used for Hybrid and/or EV. The other components' margins will decrease by 20%. With this in mind, return back to me: 1) Gross Profit (and gross margin) for Retain 2) Gross Profit (and gross margin) for Transition 3) Gross Profit (and gross margin) for Exit If the Gross Profit for Transition declines by more than 40%, then note that Helios is significantly exposed to geopolitical risk in regard to critical minerals. Show the gross profit as a whole number in EUR. Write your answer straight here.

Let's check how a -2/+2 percentage points (pp) in annual gross margin for all component families affects Helios' total gross profit across the three scenarios. Assume base revenue stays constant, so any change in margin directly impacts gross profit and COGS. Using the file 5 year Business Case model, calculate the total gross profit in € under both -2 and +2 pp assumptions and give the results by scenario. Print your reply here, and round all final figures to two decimal places.

After reviewing our analysis, the client has a few more requests for us. Recall we had shown scenarios in which the company discontinues SKUs which account for 5%, 7.5%, and 10% of gross profit. We want to redo the same exercise but limit the gross profit reduction to 3%. In this scenario, we want to maximize the number of ICE SKUs discontinued. We also want to identify which platforms have the largest percentage of SKUs discontinued, so the client can prioritize discussions with those customers. Provide your response to me right here. Dollar value final answers and percentage final answers should be rounded to two decimal places.

Update numbers with the new projections (attached). I want the full breakdown for: DC converters and onboard chargers Driveline and axle modules Engine control units Engine core hardware Exhaust and emissions Fuel and injection systems On vehicle charging hardware Power electronics and inverters Sensors and wiring Structural EV content Thermal management modules Transmission and e drive Ignore sensors and structural EV content. Round final numbers to two decimals, and reply just straight back in here.

Let's model the impact of the price war in the EV charging space. There is an 8% reduction in the ASP for 'on vehicle charging hardware' across all three scenarios. We need to recalculate the revenue (€) in the core calculation spreadsheet and then show how much component-level and scenario-wise revenue (€) the client could lose from 2026 to 2030 due to this reduction. This 8% reduction occurs at the ASP/year level, and does not compound year-over-year. This occurs in addition to any other yearly price changes. Output your results right here as a short message. Give values in the complete dollars and cents.

You are analyzing the results from the customer survey. The survey asked what Helios' top 3 capabilities are. The initial results came back incomplete, and there are now additional responses available to analyze (attached). Your goal is to calculate what percentage of all total responses each capability received. Only calculate these values for respondents who responded "Slightly Important" or "Not Important" for question 2. You may also utilize the survey questions file for reference. Round final answers to two decimal places please. Send your reply here.

The client wants to see the top four customers by cumulative revenue over the last three years and the average gross profit margin for each of the top customer's product families. Only include orders if they have an active lifecycle status when calculating cumulative revenue and use all lifecycle statuses for gross margin. Note that MLB Evo and MQB are Volkswagen. Then, calculate their total order volume from 2023 to 2025 for only Hybrids and EVs. Make sure to calculate the volume growth rate over that period as well. Round answers to the nearest whole number, except percentages, which should be rounded to one decimal place. Return your findings with a message here.

We have new expert input on pricing and content for two power electronics families. In the Helios Europe demand model, please (1) bump the ASP for "On vehicle charging hardware" by 15 percent and (2) bump it for "DC converters and onboard chargers" by 10 percent in the handoff to business case table. Then, (1) increase the cluster content factor for the European premium cluster in the cluster content table by 25 percent for "On vehicle charging hardware" and (2) increase it by 15 percent for "DC converters and onboard chargers". After that, only look at European premium OEMs and EV propulsion and tell me how much the combined revenue increased from 2025 to 2030 for these two families changes versus the original assumptions. Please reply back to me here with the number in million euro to one decimal place.

Based on the client’s SKU data, calculate the weighted average gross margin for each platform. Then determine the percentage price increase required for SKUs on the lowest-margin platform to raise their margin to match the weighted average gross margin of all other platforms combined. Reply to me with the analysis.

We want to understand the most important investment areas for pureplay EV respondents. The previous file contained incomplete information, so please use the newly attached updated file. Identify the #1 and #2 most important investment areas for pureplay EV respondents. Using only respondents who selected those two areas as their #1 and #2 priorities, calculate the average score for: (1) Relevance of legacy suppliers and (2) Level of redesign required. Then compare these average scores to the averages calculated using only Auto Parts respondents. Round all final scores to two decimal places and output the results to me here as a short message.

Let's calculate how much capex is not spent due to supply chain delays and how that affects Helios' total cash position. Based on the assumption that only 80% of capex is spent during 2026-2027, the remaining 20% stays as cash, earning 3% interest per year until 2030. Use the capex requirements (2026 - 2030) from the scenario summary in the 5 year business case model for Helios. Output your conclusion as a message to me. Round to 2 decimal places.

Update the business case model with the new gross margin numbers. Flow these values for the model, and give the updated total gross profit values for EV, Hybrid, and ICE for each of the 3 scenarios: (1) exit, (2) transition, and (3) retain. This gross profit number should be the sum of all gross profit for the years 2026-2030. Round final answers to two decimal places, printing your reply here.

Use the financial model with the new numbers from the finance team (attached) to calculate the 5 year values for: (1) Revenue, (2) COGS, and (3) Gross Profit. Round all final numbers to two decimals (i.e., show me the dollars and cents). Print the numbers you've calculated back to me here.

Use the Helios customer survey to calculate average NPS scores for Pureplay EVs and EV/ICE. - If the average is 2 or below, they are promoters. They are passives if they are between 2 and 3, and detractors are above 3. - NPS is defined as: (% Promoters - % Detractors) x 100. Based on these values: If the overall NPS score is above 20, state that Legacy manufacturers have a competitive advantage. If it is below 20, state that Legacy manufacturers do not have a competitive advantage. Make sure to note the count of promoters, detractors, and passives. Print your answers here.

Using the comps file, refine the BBDC peer set and rebuild the valuation range as of 18 Nov 2025. Use operating data for the 9M to end of 2025Q3 to derive implied prices. 1. Exclude all peers with AUM > 5,000 (values expressed in millions in the file) and exclude TSLX, GBDC, and TRIN from the peer set. 2. For the remaining peers, calculate for P/NAV, P/E, and P/Sales: 25th percentile (P25), Median, and 75th percentile (P75). 3. Derive BBDC valuation cases: Bear = P25, Base = Median, Bull = P75. 4. For each case, compute the implied equity value under each multiple, average the implied values to get the final Bear/Base/Bull equity value, and calculate % upside vs BBDC’s equity value as of 11/18/25. Output a short message with the final Bear/Base/Bull equity values and % upside for each. Give $ rounded to thousands and no decimal places, and percentages and multiples to 2 decimal places.

Recalculate "Additional paid-in capital" that factors in share buy-back of 10 million shares by BBDC. Print the answer as a reply to me here. Assume that the transaction was financed using cash on the balance sheet. Additional optional Debt is triggered only if cash drops below $10 million keeping balance sheet cash at a minimum of $10 million. Use the 9M 2025 account. Round monetary values to the nearest USD thousand.

What if BBDC change target and achieve a partial merger with FIDUS Investment Corporation (FDUS) instead of TriplePoint Venture Growth BDC Corp. (TPVG)? Use the FDUS SEC filings as of Q3 2025 and Q4 2024 to modify the 9M 2025 section of the income sheet in the merger model - Input the target share price of $19.21. Set the Financial account to "9M TTM 2025". - Assume that the BDDC / FDUS EBIT synergies will be 1.75x greater than the potential BBDC / TVPG EBIT synergies. Recalculate the pro-forma EBIT, the net investment income before tax, the net increase (decrease) in net assets from operations, and the net investment income per share. Round the net investment income per share to two decimal places. Apart from the net investment income per share, present the results rounded to USD thousands. Print your answer back here.

Consider FDUS as a potential target, use the last 6-month median share price as of 11/19/2025 in the FDUS file and the Nine Months Ended September 30 account from the FDUS 9/30 10Q. Your task is to calculate the Exchange Ratio for FDUS, % Ownership BBDC and % Ownership FDUS using the 9M 2025 account in the model using FDUS data. Give me your reply here. Round ratios to the nearest 3 decimal places, round percentage to the nearest 2 decimal places.

Calculate the accretion / dilution of both BBDC and TVPG shareholders, sensitized for different Cash consideration and Bid Premium. Edit the existing merger model and add two sensitivity analyses: one showing BBDC accretion/dilution and one showing TVPG accretion/dilution, each sensitized to bid premium (10% and 20%) and cash consideration (10% and 15%). Assume an increase of EBIT Synergies by 480bps and a 210bps decrease in post-deal bidder share price downside. All output values should be in %, rounded to 2 decimal places.

Use the BBDC valuation model as a template and a prepare a full valuation of SLR INVESTMENT CORP. (SLRC) as of FY 2024. - Use the median of peer trading multiples - Retrieve the SLRC’s required data from the attached SLRC 10K files. - Use the share price as of December 31, 2024 ($16.16) for SLRC's actual equity value. Calculate SLRC’s Implied Equity Value according to the following methods: - P / NAV, P / E, P / Sales, and NAV / Share I want you to compute the Relative Premium / (Discount) of SLRC’s actual equity value. Then, determine the lowest and highest Implied Equity Value from all the valuation methods. Round to the nearest unit for the lowest and highest Implied Equity Value in thousands dollars. Round to 2 decimal places for the Relative Premium / (Discount) results in %. Print the correct information back to me here.

Evaluate acquisition of WhiteHorse Finance (WHF) by editing the ‘Target-TPVG’ tab in merger model using WHF’s 2024 financials. Use a share price of $7.20 (as of 11/26/2025). Output two sensitivity analyses on the Post-Deal Pro Forma tab in the merger model file, showing: NAV per share (2 decimal places), NII per share accretion (%, 2 decimal places) for the WHF transaction. In each case, show analyses for: - Bid Premiums: 30% and 35%. - Cash Consideration Mix: 30% and 40%.

Assume BBDC's share to fall by 5% and TPVG's share rose by 12% post-deal and pre-issuance. The final proposed ownership split is BBDC - 75% and TPVG - 25%, maintain other assumptions constant. Create a new tab in the merger model. Calculate the "Cash Consideration", "Total Consideration", "Cash Consideration per share" and "Total Consideration per share" based on the proposed final ownership split, and the shares change Round monetary calculations to the nearest USD thousands, and round per share data to the nearest USD 2 decimal places.

To evaluate where economic value is created in the BBDC & TPVG merger, use the comps and merger models to build a four step value creation bridge. Write your reply to me here. Set the merger model to the 9M TTM 2025 account. Return the incremental change in value (%) between each scenario, the Pro Forma Implied EV after dilution, and total value creation vs standalone % (all to 2 decimal places). Here are the Scenarios: - 1. BBDC Standalone Implied Equity Value based on LTM NAV, LTM NII, and LTM Sales from the valuation model and median P/NAV, P/E, and P/S multiples on all comps from the comps file; - 2. Standalone + Synergies Implied Equity Value using run-rate synergies from the merger model; - 3. Add TPVG NAV Contribution (Pre-Dilution) using TPVG’s standalone NAV from the merger model; - 4. Pro Forma Implied Equity Value (After Dilution) using PF NAV, PF NII, PF Sales, and PF shares from the merger model.

Use "Comp Analysis – Modify" as a clean version of Comp Analysis. Replace peers WhiteHorse Finance (WHF) and TriplePoint Venture Growth BDC corps. (TPVG) and replace with SLR Investment Corp. (SLRC), Gladstone Capital (GLAD) and Stellus Capital Investment Corp (SCM). Use the attached SEC filings to complete the task. Retrieve the AUM, NAV / Share and Debt / Equity as of September 30, 2025, to complete the analysis. Calculate the mean and median for each key metrics considering BDCs with a Market Cap in the $350M to $900M range only. Get your answer back to me right here. Present the AUM in $M. All the final numbers must be rounded to 2 decimal places.

Assume that TVPG raised additional $70 million mezzanine capital ($30 million - equity capital raise from it's current shareholders at a discounted issue price of $6.0 per share and $40 million - debt capital raise at 6% interest rate), and the merger uses 50% cash consideration. Task: Using the 9M TTM 2025 account, recalculate the "Pro Forma Debt" and "Pro Forma Combined Equity Value". Print both values back in your reply. - Assume end of financial year is December 31st, debt issued date was March 31, 2025 - There are zero fees associated with the issues - Round all monetary values to the nearest USD thousand.

Using the merger model, assume BBDC's share price falls by 15% after deal announcement but before the new share issuance to TPVG shareholders. Using the 9M TTM 2025 financial account, calculate the revised pro forma balance sheet. Send me a reply with the following pro forma balance sheet line items: Total assets, Total liabilities, Total net assets, Total liabilities and net assets and Nav per share All dollar values in $’000 (whole numbers), except for NAV per share which should be rounded to two decimal places.

Using the merger model, recalculate the post-deal pro forma balance sheet in the “Post-Deal Proforma” tab under the following assumptions: - 50% cash consideration - 20% of balance sheet cash is used in the transaction - BBDC share price declines by 5% post-deal - New shares are issued at the updated (post-decline) share price Print back for me here: 1. Pro forma NAV per share 2. Pro forma Debt-to-Equity ratio Round both the per-share figure and the ratio to two decimal places.

Assume that TVPG raised additional $70 million mezzanine capital ($30 million - equity capital raise from it's current shareholders at a discounted issue price of $6.0 per share and $40 million - debt capital raise at 6% interest rate), and the merger uses 50% cash consideration financed with 80% of cash on balance sheet - Using the 9M TTM 2025 account, recalculate the "Exchange Ratio for TVPG Shareholders", "% Value Accretion/(Dilution) to BBDC shareholders", and "% Value Accretion/(Dilution) to TPVG shareholders" in the merger model and return results. Assume the end of financial year is December 31st, debt issued date was the first day of the calendar year and zero fees associated with the issues. Round all percentage calculations to the nearest 2 decimal places, and round ratio to the nearest 3 decimal places. Respond with the information in a message.

For each of the four competitor firms use use our financial dataset for 2016 - 2025 to calculate the average customer acquisition cost (US$) for 2016-24 and identify the competitor with the highest churn rate (%) in 2024 and calculate the percentage difference relative to their average between that competitor with the highest churn rate (%) and each of the remaining competitors. Round all percent final answers to the nearest 0.01%. Round $ amounts to the nearest whole $. Print your answer to me here as a message.

Calculate overall customer sentiment score using the customer surveys. For each section, compute the section sentiment score as the simple average of the available question-level scores within that section (omit any question with missing scores). Then, calculate the customer sentiment score as the weighted average of all section sentiment scores, using the weights specified in the chart from the attached score guide. For the NPS score, adjust for the scale difference by using 50% of the average NPS value before including it in the weighted aggregation. Round your final answer to 4 decimal places, and reply back to me with it here.

Assume a scenario where CompliSure can achieve best-in-class R&D rates (low) and gross margin rates based on 2024 competitor benchmarks for years 2025 through 2030, if best-in-class is better than the existing forecast. Recalculate CompliSure's Net Income for 2025-2030. Round final answers to the nearest thousand. - Assume Depreciation & Amortization remains the same value - Income Tax Expense remains the same % of Pre-Tax Income - And all other costs remain the same as a percentage of revenue - Use the financials from 2016 to 2025 and the 5 year forecast for your calculations. Reply back to me the values.

To better understand the market dynamics, the client wants to analyze customer engagement with the mobile app features. Use the feature dataset for competitors from 2016-24 to calculate the following using aggregated data across 2016-24: - For each company, determine the 2024 percentage of customers actively using the in-app analytics feature within the mobile app. - Identify all the companies with instances of In-app Analytics Feature Satisfaction Score (out of 10) > Mobile App Satisfaction Score (out of 10). Round all final answers to the nearest 0.01%. Give me the answer right back here as a short message.

One of CompliSure’s primary competitors, TrainIQ, is expected to lose a portion of its market share. Use the estimates provided by each research firm (A, B, C), provided in the attached report, as separate scenarios. For each scenario, assume that the overall market size in 2025 does not change, and that any market share lost by TrainIQ is fully captured by CompliSure, with no impact on other competitors. Starting from CompliSure’s 2025 base-case outlook, state the new CompliSure’s market share (%) and revenue in 2025 for each research-firm scenario. Use our latest version of the 5-year forecast and the expanded version of the financial dataset to do the analysis. Round all the final answers to two decimal places and round $ figures to $0.01M. Give your answer back to me right here.

Can you use the customer usage and customer contracts files to state the impact on ARR and the new ARR if Complisure switches to the attached usage-based pricing model? Treat the payment discounts from the customer contracts summary as additional discounts that would still apply. Round the final numbers to the nearest thousand. Print the answer right here.

Based on the attached findings from the top 3 research firms, what is CompliSure’s expected revenue ($M) in 2030 for each scenario? For each scenario, please assume that the overall market size in 2030 remains unchanged and that any market share gained by new entrants is taken proportionally from existing participants based on their current market shares. - Use the latest version of the 5-year forecast to do the analysis. - Round all the final answers to two decimal places; round $ figures to $0.01M. - Use the free cash flow definition applied in the version 5 forecast. Write back your answers to me here.

How much cash in EUR will adopting Rakling's strong sell recommendations generate for HP? Assume they sell the position as of October 30, 2025 at no cost. Report your final answer here in dollars and cents.

Given our current set of CDP questionnaire responses for Horizon's portfolio companies, identify the three largest risks by potential financial impact across all entries. In cases where a minimum and maximum impact are listed for an individual risk, use the midpoint. For risks where there is no impact figure listed, assume it is zero. If two risks are tied in terms of dollar impact, prioritize the more recent risk as of 2024. Reply back to me, outlining the 3 Risks (defined as the combination of the company, year, and type of risk), the Financial Impact, and the Mitigation Ratio (defined as the cost to correct the risk divided by the potential financial impact). Give figures in the currency indicated in section C0.4 of their associate CDP response file. Round Mitigation Ratio to the nearest 0.01, and give long form currency values.

Based on Planet Defense's climate risk data and their scoring methodology, give me the top 3 sub-regions by overall risk score and their overall risk scores. Once you've done that, calculate for each continent the average overall risk score and the standard deviation of all the overall risk scores. Report numeric final answers to 2 decimal places. Write your answer here.

I feel good about our current assessment of the valuation, but I’d like to do some forward-looking assessments. Can you use the historical Sector Median PE volatility data to determine which of the currently undervalued stocks are at the highest risk of becoming overvalued. Give me the company name, ticker symbol, and the probability percentage. Just to reiterate, a premium of 25% or more over the Sector Median PE is considered overvalued. Anything else is undervalued. Use 28.5 as the current Sector Median PE. I think it’s fair to assume the same PE volatility distribution will continue. Round final percentage to two decimal places. Reply back to me with your answer.

Can you calculate the minimum gross returns Crown and Vision would have to achieve in order to deliver net returns equal to the average fund manager in the 80th percentile or better in terms of Sharpe ratio? Report numeric final answers to two decimal points. Write your answers out here.

Please check how KO and MDLZ differ in expected upside once we apply the ESG and GLP-1 filters and account for each investor’s maximum allowable ESG risk level. Use the survey data and the ESG risk thresholds to determine which respondents are eligible to hold each company. Then calculate the confidence weighted average and standard deviation of expected annual return for KO and MDLZ. Show each company’s weighted average and standard deviation of expected annual returns. Round only the final results, going to two decimal places.

Calculate the CAGRs for the ABInBev's 2025 sustainability goals, starting with the 2021 results. Some goals imply declining metrics, like water use, while others are looking to increase, such as the use of renewable electricity. Accordingly, provide an average for each of the top two most positive CAGRs and the two most negative CAGRs. These should be taken as the target CAGR for all Sustainability Goals that need to increase and decrease, respectively. Next, use these two CAGRs to determine the year that each goal would be achieved. Only evaluate the first 14 sustainability goals listed. Also, consider only goals with a defined 2025 target in the report. Round all final results to two decimal places, and display years as whole numbers. Please give me your answer here as a reply.

The client is looking to execute our rebalancing recommendations. Identify the stock with the highest Absolute Beta Reliability during the worst 10 trading days in Q3 2025, defined as the worst 10-day cumulative return of the F&B Sector Index. For each stock, compute: - Beta Predicted Return = Beta Coefficient × 10-Day Return of the F&B Sector Index - Absolute Deviation = |Stock 10-Day Return − Beta Predicted Return| - Absolute Beta Reliability = 1 − (Absolute Deviation ÷ Stock 10-Day Return) Reply back to me in a message with the company name, and the highest Absolute Beta Reliability and its Absolute Beta Reliability value. Round numbers to four decimal places.