Palantir reported Q1 2026 revenue of $1.63 billion, up roughly 85% year-over-year — its fastest growth rate since at least 2020. Net income roughly quadrupled to about $870 million. US commercial revenue hit $595 million, up 133%. The company raised full-year guidance to $7.65–7.66 billion, about 71% growth, and said US commercial alone should exceed $3.22 billion. New customer wins announced on the call included Airbus, Bain, GE Aerospace, and Stellantis.
Palantir is one of the few public-company proxies for whether enterprise generative AI is paying for itself. An 85% growth rate at $6.5B+ ARR — and especially the doubling of US commercial — suggests that the agentic AI deployments enterprises started piloting in 2024 are now landing as production contracts. CEO Alex Karp framed the quarter as the moment AIP became a category-defining product, not a demo.
The print contrasts sharply with the Snap-Perplexity unwind on the same day — enterprise AI is shipping; consumer AI partnerships are wobbling. It also pressures consulting incumbents like Accenture and Deloitte, given Palantir's pitch that one engineering team plus AIP can replace a six-figure body-shop engagement. Wall Street's reaction was muted, with shares ticking up after-hours and then selling off, reflecting how much growth is already priced in.
Takeaway for learners: when you hear that AI is or isn't working in the enterprise, look at the financial filings of companies whose entire business depends on selling AI to enterprises. Palantir, ServiceNow, Snowflake, and the hyperscaler segment disclosures will tell you more than any survey. Reading 10-Qs is a skill — the same effort that gets you fluent in a new framework can make you fluent in the AI economy.