DCF Model Assumption Reviewer
Les analystes en investissement, conseillers M&A et DAF utilisent ce prompt pour tester la solidité des hypothèses d'un modèle DCF avant de présenter une valorisation à un conseil d'administration, un comité d'investissement ou un acquéreur potentiel.
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 — 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.
Variables du Prompt
Remplacez chaque placeholder par vos informations spécifiques :
[INDUSTRY][COMPANY NAME][FISCAL YEAR][CURRENCY][REVENUE GROWTH RATES][EBITDA MARGINS][WACC %][TERMINAL GROWTH RATE %][CAPEX %][TAX RATE %][NWC ASSUMPTIONS]Ce que vous obtiendrez
Un tableau structuré classifiant chaque hypothèse comme agressive, raisonnable ou conservatrice avec des références de benchmarks; une évaluation de cohérence interne; un classement des principaux leviers de sensibilité; une analyse de la décomposition du WACC; un avertissement sur le risque de la valeur terminale; et une liste de recommandations priorisées.
💡 Conseil d'Expert
Indiquez la source de chaque hypothèse (ex. 'guidance de la direction', 'consensus analyste', 'moyenne historique') — l'IA concentrera son analyse critique sur les hypothèses les moins étayées.
Outils IA Compatibles
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 — 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.