Find candidate deals
Search by industry and geography, then narrow by subsector, country or target ownership. Keep the deals relevant to your mandate on a short list.
Precedent Transaction Intelligence
A precedent transaction database for deal analysis.
PrivyLogic is a metered database of precedent M&A deal terms and valuation multiples. Search by industry and subsector, geography and country, or target ownership to pull the comparables you need in the browser. Core, Pro and Enterprise also include API and MCP access. Before choosing a plan, see how to evaluate precedent transaction data for status, value and source quality.
PRIVYLOGIC / BUYER CHECKLIST DATA REVIEW
Four checks before using a deal as a comparable
P
Precedent transaction data Review the evidence
Deal statusClosed?
Value basisEquity or EV?
Metric periodLTM or NTM?
DisclosureCheck filing
Record fit and evidence
See which fields support a usable precedent.
Disclosed terms differ by deal. A search match may lack a defensible enterprise value or earnings denominator. Inspect the available fields and verify material numbers before including a transaction in a multiple set.
01
Parties & status
Identify the target, buyer and transaction type. Keep announcement and completion dates distinct; named sellers and advisers depend on disclosure.
02
Value & terms
Check the currency and whether a disclosed amount is equity value, enterprise value or another measure. Note the stake and consideration mix where available.
03
Multiples & periods
A deal may have no usable multiple. For EV/EBITDA or EV/revenue, check whether it was reported or calculated and which financial period it uses.
04
Public evidence
Reconcile material figures with dated public documents. An undisclosed value, adjustment or earnings denominator must remain unavailable in the analysis.
How access works
From search result to usable precedent.
A search result is a candidate, not a valuation observation. Use the database to narrow the set, reveal relevant records, then check the material figures against public evidence. Use the database evaluation guide to test a provider against deals you already know.
Open records selectively
Searches and record reveals use separate monthly allowances. Revealing a deal with a multiple also draws on the smaller “with multiples” allowance.
Check the public evidence
Before using a value or multiple, verify deal status, value basis, currency and financial period against public disclosures. Leave undisclosed inputs blank.
Before you choose
Compare plans → Match the plan to your research workflow.
Estimate how many searches, record reveals and reveals with multiples your mandate needs. Lite supports browser research. Core, Pro and Enterprise also include REST API and remote MCP access. Compare the current allowances before checkout.
Choose by task
Match the data to the decision you need to make.
The same search result can support a shortlist but lack the disclosed inputs for a valuation multiple. Test the fields you need before sizing access.
Build a comparable-deal shortlist
Start with industry, geography and target-ownership filters. Check whether each result matches the target, buyer and transaction event you need before opening records.
Test known-deal coverageDefend a transaction multiple
After a reveal, check status, equity versus enterprise value, currency and the denominator period against public disclosures. Keep a multiple out of the set when a required input is undisclosed.
Check multiple provenanceUse data in a repeatable workflow
For programmatic research, compare Core, Pro and Enterprise: those plans include REST API and remote MCP access. Preserve source checks and practitioner review in the model you build.
Review an evidence schemaCount expected searches, record reveals and reveals with multiples separately. Browser research is available on Lite; API and MCP require Core or above. Compare current plans and allowances
Get access
See the database for yourself.
Review the access plans for sourced precedent-transaction research, or contact us if you need to discuss coverage and data quality first.