
What happened
Palantir reported second-quarter revenue of $1.94 billion, up 93% year over year, beating analyst expectations of $1.801 billion. The company closed 220 deals of at least $1 million in value, including 73 deals of at least $10 million. U.S. commercial revenue jumped 149% and government revenue climbed 90%. The stock surged more than 14% in after-hours trading Monday.
Why it matters
CEO Alex Karp framed the results as a turning point—"for the first time people believe us"—after investor skepticism in May, when the company posted 85% revenue growth but stock fell 7%. The market's positive reaction suggests acceptance of Palantir's argument that customized AI services outperform off-the-shelf models from competitors like OpenAI and Anthropic, potentially validating its defense and commercial strategy.
What to watch
Palantir guided third-quarter revenue to $2.160 billion to $2.164 billion, above analyst expectations of $2 billion. The company raised full-year 2026 revenue guidance to between $8.150 billion and $8.158 billion (up from $7.182 billion to $7.198 billion) and forecast U.S. commercial revenue growth of at least 134%.
Summaries like this, in your inbox every morning.
Palantir's 93% revenue surge marks a critical inflection point in how the market perceives the company's competitive position. The body shows that May's 85% growth quarter did not move the stock positively—in fact, shares fell 7%—because investors worried that expectations had become disconnected from reality. Monday's results, combined with the 14% after-hours rally, suggest that skepticism has shifted: the market now appears to believe that Palantir's customized enterprise AI approach has a durable moat against off-the-shelf models from OpenAI and Anthropic. Karp's pointed critique of "Silicon Valley AI competitors" and his focus on "AI sovereignty" rather than "dependency" frame the competition not as feature parity but as a fundamental philosophical and operational difference—one that resonates with customers in government and defense, where data sovereignty and operational alignment matter more than raw model capability.
The deal flow reveals the scale of this shift: 220 deals of at least $1 million (including 73 of at least $10 million) in a single quarter suggest that large enterprises and government agencies are not trading Palantir for cheaper alternatives, but rather expanding commitments. U.S. commercial revenue's 149% growth is particularly striking, as it undercuts the narrative that U.S. corporate America would flee to cheaper or faster-deploying AI services. The body indicates that Palantir has been "on the offensive" to combat concerns about model replacement, arguing that Silicon Valley models underperform and pose data-privacy risks. Monday's earnings call, by that framing, did not merely beat expectations—it shifted the conversation from whether Palantir's approach was defensible to whether it was already winning.
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