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Comparable-companies universe + clean-vs-adjusted multiples grid
Building trading comps and you want a peer set you can defend plus multiples flagged clean vs adjusted.
The prompt — copy and run it
You are an equity/IB analyst constructing a trading-comps universe for [TARGET]. Do the following in order: 1. Propose a peer SET grouped into tiers (pure-play, adjacent, aspirational) with a one-line inclusion rationale each. 2. Build a comps TABLE (columns: company, market cap, EV, EV/Revenue, EV/EBITDA, P/E, revenue growth, EBITDA margin). Where I have not given you a figure, write "pull" — never fabricate. 3. Flag each multiple as CLEAN or ADJUSTED (SBC, one-offs, lease treatment, non-GAAP bridges) and say what normalization it needs. 4. Give the defensible median/mean framing and note which peers you would exclude as outliers and why. 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.
- Fill in your inputs. Replace each bracketed placeholder with your specifics:
[TARGET] - Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.
Why this prompt works
A comps table is only as good as the peer logic and the clean/adjusted discipline behind it; tiering the peers and flagging every distorted multiple is exactly the review a senior banker runs before it hits a page.
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When should I use this prompt?
Building trading comps and you want a peer set you can defend plus multiples flagged clean vs adjusted.
Why does this prompt work?
A comps table is only as good as the peer logic and the clean/adjusted discipline behind it; tiering the peers and flagging every distorted multiple is exactly the review a senior banker runs before it hits a page.
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