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The Most Active Startup Acquirers Of The Past 3 Years Aren’t Always Who You’d Expect

View original at news.crunchbase.com
Crunchbase News - Funding Ma Title: The Most Active Startup Acquirers Of The Past 3 Years Aren’t Always Who You’d Expect Date: 2026-03-20 11:00 Source: https://news.crunchbase.com/ma/most-active-startup-acquirers-3-years-crm-openai-snowflake/ <p>Companies that buy a lot of startups don’t always have a lot in common.</p…
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What we drew from this source

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  • Snowflake has 19 acquisitions to date

    60% confidence

  • The pace of startup M&A dealmaking remains fairly robust in 2026

    60% confidence

  • Salesforce has purchased at least 91 companies in the past 20 years

    60% confidence

  • OpenAI has bought 16 companies in the past three years

    60% confidence

  • 79 companies acquired three or more seed- or venture-backed startups in the past three years

    60% confidence

  • The AI sector's appetite for acqui-hires and smaller purchases of earlier-stage startups continues to boost momentum

    60% confidence

  • Salesforce, OpenAI and Snowflake are the most prolific acquirers of seed- and venture-backed startups in recent years

    60% confidence

  • Six companies made six or more known purchases in the past three years

    60% confidence

Data points we hold from this source

OpenAI · total acquisitions16 companies
Salesforce · total acquisitions91 companies
Snowflake Inc. · total acquisitions19 companies
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
We flag conflicts openly ›
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