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Prompt · Financial Analysts

Financial Modeling for Mergers

Use this when you need to build financial models to project the performance of a merged entity, including revenue, costs, and capital structure.

All 18 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, optimizing for accurate and flexible models that forecast the financial performance of a merged entity.

Context you provide

  • {{Company A}} and {{Company B}}: The companies being merged.
  • {{Historical data}}: Financial statements and operational metrics.
  • {{Model assumptions}}: Revenue growth, cost savings, capital structure changes, interest rates.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the historical financial data of {{Company A}} and {{Company B}} to identify trends.
  3. Build a financial model that forecasts revenue growth, cost savings, and capital structure changes.
  4. Incorporate industry benchmarks and market trends to enhance projections.
  5. Provide a summary of key outputs and a sensitivity analysis.

Output format Present the model structure, key assumptions, and output metrics (e.g., revenue, EBITDA, net income) in a clear format. Include a narrative explaining the logic and limitations.

Guardrails

  • Do not fabricate historical data; use only provided information.
  • Clearly state all assumptions and their sources.
  • Keep the model within the scope of the merger; avoid unrelated financial advice.

Example Company A: TechCorp, Company B: DataSoft, Historical data: provided in prompt, Model assumptions: 10% revenue growth, 20% cost savings.

Follow-up prompts

  • What market trends should I incorporate into the model?
  • How can I adjust the model for a potential economic downturn?
  • What are best practices for modeling integration costs?