M&A transaction intelligence

Find relevant small and mid-cap M&A deals faster.

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.

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Selected recent transactions 5 shown · 299,773 in the database
Target Buyer / Investor Sector Geo Transaction size EV / EBITDA
Newcastle Private Hospital, Hunter Valley Private Hospital Calvary Health Care Hospitals, Clinics & Primary Care Services $72.2M – $97.7M 6× – 8×
IHS Holdings MTN Group Telecommunications Network Infrastructure $24.7M – $33.4M 6× – 8×
Holmes Place Fitnessclubs Germany Virgin Active Gyms, Fitness and Spa Centers $60.0M – $80.0M 6× – 8×
Full Sail Brewing Company Sazerac Craft & Micro Brewers $50.1M – $67.8M 7× – 9×
Impact Food Group THI Investments Colleges & Secondary Schools $43.0M – $58.0M 6× – 8×
8× – 10× Dealert estimate from sector and size-band medians Methodology
What Dealert Is

Practical M&A research built for small- and mid-cap work

Not a CRM with a deal log attached
A searchable M&A transaction database structured for comparable deal analysis.
Closed and announced transactions only
Disclosed and estimated figures clearly separated, with no rumour or speculative entries.
Not just a list of companies and investors
Targets, buyers, sponsors, sectors, geographies linked so users can trace real acquisition activity.
Statistics

Transparent about our coverage.

Transactions in the database
299,773
+1,323 added in the last 7 days
Countries represented
190
Strongest coverage in EU, UK and North America
Sector and sub-sector classifications
969
Three levels: sector, sub-sector, niche
Buyers, sponsors, and acquirers profiled
109,345
Strategics, PE, VC, family offices
As of 10 November 2026 · refreshed 24/7 from primary sources
Designed for

Different jobs, same database.

Each user comes to Dealert with a different job. The data is the same — the entry point is not.

Products

Three tools, one structured database.

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.

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Open the database on a sector you know.

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