Search structured M&A transaction data, build precedent sets, and see who's buying what in small and mid-cap markets - without stitching together fragmented sources.
| Target | Buyer / Investor | Sector | Geo | Transaction size | EV / EBITDA |
|---|---|---|---|---|---|
| Sleever International | CCL | Plastic Containers & Packaging | $67.1M – $90.8M | 7× – 9× | |
| SF Vung Tau JSC | Viet Thai International JSC | Food Markets | $88.4M | 10× – 14× | |
| Saltair | TSG Consumer | Personal Products (NEC) | $37.0M – $50.0M | 9× – 12× | |
| ARC Store | Clicks Group | Luxury Beauty Supply Retailers | $30.6M | 6× – 8× | |
| CHEERS, ConSol | CLEAResult | Renewable Energy Services | $26.0M – $35.0M | 7× – 9× |
Each user comes to Dealert with a different job. The data is the same — the entry point is not.
Build a defensible comparable set for a fairness opinion or vendor DD in one screen — without paying for a seat licence you'll touch twice a week.
For advisers →Filter the universe by industry × geography × size band, then study any sponsor's full platform history alongside their bolt-ons.
For PE & VC →Maintain a sector watchlist, price your own pipeline against precedents, and have the appendix ready before the CEO asks.
For corp dev →Build the sector landscape your client's M&A team will actually re-use, not just present once.
For consultants →Search the database directly, or use one of the workflows built on top of it. Each tool runs against the same source records and the same sector hierarchy.
Given a target profile, surface the buyers and investors most likely to be relevant — ranked from historical acquisition patterns.
Save filtered views by sector, geography, sponsor or deal type. Get a digest the moment a matching transaction is added.
Deterministic ranking — same target and weights always return the same precedent set, defensible a year from now.
Start with a country slice, jump to a buyer profile, or browse the full directory. Free account, no card.