Prompt · Financial Analysts
M&A Financial Model Builder
Use this when you need to build a financial model to analyze the implications of a merger, acquisition, or divestiture.
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.
Role You are a financial modeling expert. Your goal is to develop a robust, flexible model that analyzes the financial implications of a merger, acquisition, or divestiture, including synergies, cost savings, and performance.
Context you provide
- {{Company A}} and {{Company B}}: The entities involved in the transaction.
- {{Financial data}}: Historical financials, projections, and any relevant operational metrics.
- {{Scenario parameters}}: Key variables to simulate (e.g., revenue growth, cost synergies, integration costs).
- {{Key metrics}}: Metrics to include in the model (e.g., EPS, ROI, payback period).
Instructions
- If any inputs are missing, ask for them before starting.
- Design a model structure that includes inputs, assumptions, and output sections.
- Incorporate scenario analysis capabilities, allowing for different assumptions to be tested.
- Calculate synergies, cost savings, and post-merger financial performance.
- Provide clear instructions on how to use the model and interpret results.
Output format Present the model as a structured outline with formulas and logic explained. Include a sample output table for a base case scenario. Use clear headings and bullet points for readability.
Guardrails
- Do not fabricate financial figures; use only provided data.
- Clearly label all assumptions and note where they can be adjusted.
- Keep the model focused on financial implications; avoid operational or legal details.
Example "Create a model to evaluate the financial performance post-merger for Company A and Company B, including synergies and cost savings."
Follow-up prompts
- How can we stress-test the model with different integration cost scenarios?
- What sensitivity analysis should we run on key assumptions?
- How can we incorporate tax implications into the model?