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DCF Model Assumption Reviewer

What does this prompt do?

Investment analysts, M&A advisors, and CFOs use this prompt to pressure-test DCF model assumptions before presenting a valuation to a board, investment committee, or acquirer. It is especially useful when assumptions have been built over time by different team members and need a unified consistency check.

Prompts

You are a senior investment analyst specializing in discounted cash flow valuation for [INDUSTRY] companies. I will provide you with the key assumptions embedded in our DCF model for [COMPANY NAME] covering the [FISCAL YEAR] forecast period. The model uses [CURRENCY] as the reporting currency.

Here are the assumptions under review:

- Revenue growth rates by year: [REVENUE GROWTH RATES]
- EBITDA margin progression: [EBITDA MARGINS]
- Weighted Average Cost of Capital (WACC): [WACC %]
- Terminal growth rate: [TERMINAL GROWTH RATE %]
- Capital expenditure as % of revenue: [CAPEX %]
- Tax rate: [TAX RATE %]
- Net working capital changes: [NWC ASSUMPTIONS]

For each assumption, perform the following analysis:

1. **Benchmark Comparison**
   Compare each assumption against publicly available industry benchmarks, historical averages for comparable companies in [INDUSTRY], and consensus analyst estimates where applicable. Classify each as: Aggressive / Reasonable / Conservative.

2. **Internal Consistency Check**
   Assess whether the assumptions are mutually consistent β€” e.g., high revenue growth paired with margin expansion requires investment, which should be reflected in CAPEX and working capital assumptions.

3. **Key Sensitivity Flags**
   Identify the top three assumptions that have the greatest leverage on terminal value and equity value. Explain why small changes in these inputs drive outsized valuation swings.

4. **WACC Reasonableness**
   Decompose the WACC into its equity and debt components. Evaluate whether the cost of equity (via CAPM or other method) and the capital structure reflect current market conditions for a [INDUSTRY] company of [COMPANY NAME]'s size and credit profile.

5. **Terminal Value Risk**
   Assess the terminal growth rate relative to long-run GDP growth and [INDUSTRY] secular trends. Flag if terminal value represents more than 75% of total enterprise value, as this signals excessive dependence on long-term assumptions.

6. **Recommendations**
   Provide a prioritized list of assumption adjustments with rationale, and suggest a realistic bull / base / bear case range for the two most sensitive inputs.

Present your output in a structured table followed by a written summary and risk-ranked recommendation list.

Prompt Variables

Replace each placeholder with your specific information:

[INDUSTRY]
[COMPANY NAME]
[FISCAL YEAR]
[CURRENCY]
[REVENUE GROWTH RATES]
[EBITDA MARGINS]
[WACC %]
[TERMINAL GROWTH RATE %]
[CAPEX %]
[TAX RATE %]
[NWC ASSUMPTIONS]

What You'll Get

A structured table classifying each assumption as aggressive, reasonable, or conservative with benchmark references; an internal consistency assessment; a ranked list of the top sensitivity drivers; a WACC decomposition review; a terminal value risk flag; and a prioritized set of recommended adjustments with bull/base/bear ranges.

πŸ’‘ Pro Tip

Include the source of each assumption (e.g., 'management guidance', 'analyst consensus', 'historical average') alongside the figure β€” the AI will weight its critique accordingly and focus scrutiny on the least-anchored inputs.

Compatible AI Tools

Claude

Excels at multi-assumption consistency checks and narrative risk framing. Paste assumptions as a structured list or table. Claude surfaces internal contradictions that simpler tools miss.

ChatGPT

Effective for structured assumption benchmarking. Use GPT-4 or later for best financial reasoning; consider uploading a comparable company dataset via Code Interpreter to anchor benchmark comparisons.

Gemini

Useful when your model is in Google Sheets β€” Gemini can reference live spreadsheet data and flag assumption outliers inline without copy-pasting figures.

Microsoft Copilot

Best when the DCF model lives in Excel. Copilot can read cell ranges directly and annotate assumption cells with benchmark commentary without disrupting the model layout.

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