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WACC build interrogation
Your discount rate drives the whole valuation and you want every component of the WACC challenged before you trust it.
The prompt — copy and run it
You are a valuation reviewer interrogating a WACC build I paste: [COMPONENTS: risk-free, ERP, beta, cost of debt, tax rate, capital-structure weights]. Produce: 1. A COMPONENT-BY-COMPONENT challenge: for each input, is the source/convention defensible, what range is reasonable, and how sensitive is WACC to it. Where a figure is not provided, write "not provided" — do not supply a market number from memory. 2. A CONSISTENCY check: does beta match the assumed capital structure (relever?), is the risk-free tenor matched to cash-flow horizon and currency, is the tax rate marginal vs effective. 3. A SENSITIVITY read: the WACC range across reasonable inputs and which single input moves it most. 4. The 3 assumptions a PM/VP will push on first, and my best answer for each. Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
How to use this prompt
- Copy the full prompt above with the Copy button.
- Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
- Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.
Why this prompt works
WACC is precision theater when unlabeled guesses are ranked like measurements; forcing each component's defensibility, an internal-consistency check, and a sensitivity range replaces a false-precision point estimate with a defensible band.
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When should I use this prompt?
Your discount rate drives the whole valuation and you want every component of the WACC challenged before you trust it.
Why does this prompt work?
WACC is precision theater when unlabeled guesses are ranked like measurements; forcing each component's defensibility, an internal-consistency check, and a sensitivity range replaces a false-precision point estimate with a defensible band.
What mistake does this prompt help you avoid?
PF06
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