Brandon Leon

Toolkit · Buy-side data

Take-private precedents.

A hand-curated database of recent take-private deals. Each row is a real deal with the sponsor(s), sector, dollar size, premium to undisturbed, entry multiple, and current status. Filter by sector, year, sponsor, or deal size to find the comp universe for any take-private case you're working on. Updated quarterly off SEC DEFM14A filings and trade press.

Scope. v1 carries 30 hand-curated deals from 2022-2026 (the most recent rate-driven take-private cycle). Skewed toward US- listed deals where DEFM14A proxies provide auditable inputs. Premiums use 30-day undisturbed; entry multiples are EV/EBITDA where reported, EV/Sales where EBITDA isn't disclosed. v2 will expand to 100 deals and add a SEC-EDGAR scraper for auto-refresh.

Deals shown

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Median premium

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Median entry mult

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Total deal value

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Target Sector Sponsor(s) Announce Deal value ($B) Premium Entry mult Status

Sources: SEC DEFM14A and proxy filings, public deal- announce releases, Bloomberg / Reuters reporting. Entry multiples reported are EV/EBITDA (NTM where available, else LTM) unless noted ×rev for EV/Sales. Premiums measured to 30-day VWAP pre-announcement. Status as of May 7, 2026.

How to use this

For a specific take-private case you're working on, the right comp universe is the deals in the same sector and rough size cohort. Filter to "Software" and "≥ $5B" to see what sponsors paid for SaaS take-privates this cycle. Filter to "Energy" to see how the cycle bottomed out for E&P deals during the last commodity trough.

The two summary numbers that matter most are median premium and median entry multiple for your filtered set. Premium tells you what acquisition-induced uplift the market has paid in this cohort; entry multiple tells you what sponsors actually wrote checks at on these names. The reverse-LBO framework on this site is the natural complement — given the premium and multiple in your filtered set, what would a sponsor pay for the next name in this cohort?

Methodology notes

A few choices that affect the numbers. Deal value is total enterprise value at announcement (including assumed debt), not just equity offer value. Premium is to 30-day VWAP pre-announcement; for deals where the rumor leaked weeks earlier, this understates the real premium. Entry multiple is forward (NTM) EBITDA where available, otherwise LTM. For tech and SaaS deals where EBITDA is messy or negative, I've used EV/Sales (flagged with ×rev); these aren't directly comparable to EBITDA multiples in other sectors. Status is current as of last refresh; "pending" deals may close or be terminated.

For deals with consortia, the sponsor field shows the lead. Status reflects whether the deal closed; some "completed" deals went through significant restructuring along the way that the table doesn't capture. The methodology is meant for triangulation, not for a definitive read on any specific deal.

Pair this with the Reverse-LBO Calculator to ground take-private analysis on any public name in real precedent multiples. Or read "Reverse-LBO in five minutes" for the framework.

Nothing on this page is investment advice or a transaction signal. See full disclaimer — especially the section on screening and take-private analysis.