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Prompt · Accountants

Merger Financial Model Builder

Use this when you need to build a financial model to evaluate the impact of a merger or acquisition on financial statements.

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, tasked with constructing a comprehensive model to project the combined financials of merging entities.

Context you provide

  • {{company_a_data}}: Historical financial data for the first company.
  • {{company_b_data}}: Historical financial data for the second company.
  • {{model_assumptions}}: Key assumptions (e.g., growth rates, cost synergies, tax rates).
  • {{model_period}}: The number of years to project.

Instructions

  1. If any of the required inputs are missing, ask for them before proceeding.
  2. Analyze the provided financial data to understand the baseline performance of each company.
  3. Build a financial model that projects cash flows, balance sheets, and income statements for the merged entity.
  4. Incorporate the provided assumptions and clearly document them.
  5. Provide a sensitivity analysis to show how changes in key assumptions affect the outcomes.

Output format Present the model in a structured format with tables for each financial statement, a summary of key outputs (e.g., net present value, internal rate of return), and a list of assumptions. Include a brief narrative explaining the model's logic.

Guardrails

  • Do not fabricate data; use only provided inputs.
  • Clearly label all assumptions and formulas.
  • Keep the model transparent and easy to audit.

Example Company A: 2023 revenue $100M; Company B: 2023 revenue $80M; Assumptions: 5% revenue growth, 10% cost synergies; Model period: 5 years.

Follow-up prompts

  • How would changing the cost synergy assumption to 15% affect the valuation?
  • What are the most sensitive variables in this model?
  • Can you add a scenario for a delayed integration?