The All Acquisitions section helps you analyze acquisition activity across companies and sectors tracked on Tracxn, currently covering over 200K+ acquisitions and growing as new deals are recorded. For each acquisition, you can see key details like the company name, acquisition date, acquirer, location, acquisition type, sector, deal value and much more, all in one place. This helps you understand acquisition activity, active acquirers, and market consolidation trends across industries.
Key Acquisitions View
The Key Acquisitions view highlights the most significant M&A deals on Tracxn, so you're not scrolling through everything, just the ones that matter. A deal shows up here if it meets either of these criteria:
The acquisition price was over $100M
The acquired company had raised over $30M in total funding
It's a quick way to keep tabs on high-value deals and well-funded companies that have been acquired.
What insights can you gain from this view?
Investors: Get a clear picture of acquisition trends, see which acquirers are most active, and track exit opportunities across sectors and regions.
Founders: Understand how exits are playing out in your space, spot which companies are actively acquiring startups, and gauge potential acquisition opportunities for your own company.
Filtering, Features & Summary Metrics
Use filters like Company Location, Sector, Founded Year, Acquisition Date, Price, and Acquisition Type to narrow down the list to exactly what you're looking for, with even more filter options available under All Filters.
You also get quick access to features like Export, Saved Searches & Alerts, See Trends, Customize Columns, and Currency selection. At a glance, summary metrics like total acquisitions, acquisitions year-to-date (YTD), and median acquisition price give you a quick sense of the overall landscape.
Flexible Sorting Options
Use the Sort option at the top of the table to organize the list the way that works best for you. You can sort by Acquisition Date, Acquisition Price, Company Name, and more, making it easy to slice the data however you need it.