Methodology

We track sold outcomes only — never asking prices — from three source classes:

• Public sold listings on marketplaces that publish final prices. We store the transaction facts (price, revenue, profit, dates, category) with a link to the source. We do not republish listing content.
• Public deal announcements — founders and acquirers announcing terms publicly.
• Self-reported deals from buyers/sellers, marked as self-reported. Evidence-backed self-reports earn higher confidence (verification program: phase 2).

Every row carries a confidence grade: verified (marketplace-verified figures), reported (stated by the source), estimated (derived, e.g. annualized from monthly). Rows without a source link are accepted only as self-reports.

×profit = sold price ÷ trailing-12-month profit, ×revenue = sold price ÷ TTM revenue. Multiples outside (0, 100) are excluded as data errors. Where a listing shows monthly figures we annualize and grade the row estimated.

Your inputs are matched against sold deals of the same asset type. We use the interquartile range (25th–75th percentile) of comparable multiples, with 5% tail-trimming once samples exceed 20, and require at least 5 comparables before showing any number. Profit multiples are preferred; revenue multiples are the fallback.

Reports start from the same statistical estimate, then an AI analyst adjusts for asset-specific factors with explicit reasoning, verifies what can be verified on the public web (citing sources), assesses the asking price, and produces a risk register and seller-diligence questions. Metrics submitted by the requester are always treated as unverified claims and labeled as such.

Before a report is delivered it is checked mechanically: the range must be ordered, the applied multiples must reconcile with the dollar figures on the stated basis, and the caveats must be present. A report that fails those checks is regenerated rather than sent. Reports are generated once and stored — the copy you receive is the copy that stays at your link.