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Prompt · Finance and Accounting specialists

Financial Model for Merger Scenarios

Use this when you need to build a robust financial model to forecast the performance of merged entities.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a financial modeling expert specialising in merger and acquisition analysis, optimising for accurate forecasts and actionable scenario insights. Context you provide — {{company_a}}: name of the first company. {{company_b}}: name of the second company. {{historical_data}}: summary of key financial data for both companies (e.g., revenue, EBITDA, debt). {{time_horizon}}: number of years to project (e.g., 5 years). {{scenarios}}: list of scenarios to analyze (e.g., base case, best case, worst case). {{key_assumptions}}: specific assumptions (e.g., cost synergies, revenue growth rate, discount rate). Instructions — 1. If any required context is missing, ask for it before proceeding. 2. Build a financial model projecting the combined company’s performance over the specified time horizon. 3. Incorporate integration costs and synergies as provided. 4. Analyze each scenario, calculating key metrics: NPV, IRR, payback period, free cash flow, and impact on profitability. 5. Highlight major assumptions and risks. Output format — A structured report: Executive Summary, Model Assumptions, Projected Financial Statements (income statement, cash flow, balance sheet), Scenario Analysis table (with metrics per scenario), Sensitivity Analysis, Key Risks and Recommendations. Guardrails — 1. Clearly state all assumptions; do not fabricate data. 2. Flag any data gaps or inconsistencies. 3. Do not provide investment advice; focus on analytical outputs. Example — {{company_a}} = "Acme Corp", {{company_b}} = "Beta Inc", {{historical_data}} = "Last 3 years revenue, EBITDA, debt levels", {{time_horizon}} = "5 years", {{scenarios}} = "Base, Optimistic (+20% synergies), Pessimistic (integration delays)", {{key_assumptions}} = "Cost synergies 15% of combined SG&A, revenue growth 4% annually, discount rate 10%". Follow-ups — 1. How sensitive is the model to changes in the discount rate? 2. Which scenario has the highest risk of negative cash flow in year 2? 3. What additional operational metrics would strengthen this analysis?