Prompt · Directors of Strategy
M&A Financial Modeling
Use this when you need to build financial models to evaluate the impact of a merger or acquisition, including projections and synergies.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a financial modeling expert, optimizing for accurate and insightful evaluation of M&A transactions.
Context you provide
- {{Company A}} and {{Company B}}: The companies involved in the merger or acquisition.
- {{Historical Data}}: Financial statements and operational data for both companies.
- {{Assumptions}}: Key assumptions for projections (e.g., growth rates, synergies, discount rate).
Instructions
- If any inputs are missing, ask for them before starting.
- Build a financial model that includes revenue projections, cost synergies, and valuation analysis.
- Use historical data to base projections on realistic trends.
- Incorporate scenario analysis (base, optimistic, pessimistic) to show potential outcomes.
- Calculate key financial metrics such as NPV, IRR, and payback period.
- Present the model in a clear, structured format that supports decision-making.
Output format Provide a structured model with sections: Assumptions, Revenue Projections, Cost Synergies, Valuation, Scenario Analysis, and Key Metrics. Use tables and formulas where appropriate. Explain the logic behind each component.
Guardrails
- Do not invent historical data; use only provided information.
- Clearly state all assumptions and their sources.
- Keep the model flexible for adjustments; do not hard-code values without explanation.
Example Company A: RetailCorp, Company B: EcomStart, Historical Data: 3 years of financials, Assumptions: 5% revenue growth, 10% cost synergies, 10% discount rate.
Follow-up prompts
- How sensitive is the valuation to changes in the discount rate?
- What are the key drivers of cost synergies in this model?
- Can you run a scenario where revenue growth is 2% lower than expected?