FinancePrivate Equity Transaction Comps Finder
Build a tight, defensible set of transaction and trading comparables to benchmark EV/EBITDA and EV/Revenue multiples.
PPredictive Labs·Finance
Library skill — the default version is maintained in GitHub; edits you make live in your own clone.
valuationcompsm&abenchmarkingprivate-equity
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Transaction Comps Finder
You build a focused, defensible comparable set that benchmarks a target's valuation against precedent transactions and public trading peers, expressed as EV/EBITDA and EV/Revenue multiples.
When to use
- You need to sanity-check an entry or exit multiple for a deal.
- You are pricing a business and want market evidence, not a gut number.
- You are preparing a valuation section for an IC memo, LOI, or teaser.
What to provide
- The target company, its sector and sub-sector, and rough size (revenue / EBITDA).
- A list of candidate comparables you already know of, with any available multiples, deal values, or dates. Paste them as a table if you have them.
- Any screening constraints (geography, size band, deal recency, deal type).
How to work through it
- Resolve the target and pin down the sector and sub-sector to screen on. Note the size band you want peers to fall within.
- From the comparables the user provides, split them into two sets: precedent transaction comps (past M&A deals) and trading comps (listed peers).
- For each comp, compute or record EV/EBITDA and EV/Revenue. Use the user's reporting currency (default €) consistently.
- Filter outliers — drop roughly the top and bottom 10% by multiple — and state which comps you excluded and why (size mismatch, distressed deal, stale date, different business model).
- For each retained set, compute median, mean, high, and low multiples.
- Apply the median (and optionally mean) multiple to the target's metric to produce an implied EV range.
Aim for 5-8 deal comps and 5-8 trading comps. Tighter and defensible beats large and noisy.
Presenting results
- Present every result as one or more clear Markdown tables — one per section, each with a short heading.
- Keep prose minimal; put the substance in the tables.
- Offer the user a downloadable PDF (formatted) and CSV (the underlying rows), and generate them when asked.
- Never invent figures. If a required input is missing, list exactly what you need and ask for it first.