Palantir Technologies’ shares surged 11% in premarket trading on Tuesday after the data analytics firm delivered a stronger-than-expected fourth quarter, underscoring how rising government and enterprise spending on artificial intelligence is translating into real revenue momentum — even as political and ethical scrutiny around its work intensifies.
The company reported fourth-quarter revenue of $1.41 billion, comfortably ahead of Wall Street expectations of $1.33 billion, according to LSEG data. The results capped a volatile stretch for the stock, which had slumped sharply late last year amid broader concerns that enthusiasm around AI-linked software companies was running ahead of fundamentals.
Despite November marking Palantir’s worst month in two years, the stock still ended 2025 up 135%. That rally has cooled somewhat in early 2026, with shares down about 17% year to date at Monday’s close before the earnings-driven rebound.
Chief executive Alex Karp struck a confident tone following the release, calling the performance “the best results that I’m aware of in tech in the last decade” in an interview with CNBC. His remarks reflected a belief that Palantir has moved beyond speculative hype into a phase where AI adoption is driving durable, large-scale contracts, particularly in the public sector.
Founded as a data intelligence company focused on complex analytics for governments, Palantir has increasingly positioned itself as a core infrastructure provider for AI-driven decision-making. Its software is used by U.S. agencies, including the Department of Defense, the Internal Revenue Service, and the Department of Homeland Security, as well as by corporate clients seeking to integrate AI into operations.
That government focus is now a central pillar of its growth story. Palantir said U.S. government revenue rose 66% year on year, highlighting accelerating adoption of its platforms across defense, security, and public administration. The company has secured a string of large, multi-year deals that have bolstered confidence in the visibility of future earnings.
In July, Palantir signed a software contract worth up to $10 billion with the U.S. Army, one of the largest agreements in its history. That was followed in December by a $448 million contract with the U.S. Navy aimed at accelerating shipbuilding production, a deal that underscored the Pentagon’s push to use AI and data analytics to modernize procurement and logistics.
Investors have long wrestled with Palantir’s valuation, which has often been described as stretched relative to traditional software peers. Yet some analysts now argue that the company’s pricing looks more defensible in the context of the wider AI ecosystem.
“Although Palantir’s valuation is still frothy, it appears more reasonable relative to recent venture rounds for companies tied to the AI ecosystem,” said Louie DiPalma, an analyst at William Blair, in a note published ahead of the earnings release.
He added that Palantir’s operating margin could expand from around 50% to as much as 65% over the next five years, driven largely by growth in high-margin government and defense contracts.
That margin story is central to Palantir’s longer-term appeal. Unlike many AI-focused firms that continue to burn cash as they chase scale, Palantir has emphasized profitability and disciplined cost control, arguing that its platforms are already deeply embedded in customer workflows and therefore expensive to replace.
Still, the company’s close ties to law enforcement and immigration agencies remain a flashpoint. In recent weeks, Palantir’s work with U.S. Immigration and Customs Enforcement has drawn renewed attention following protests in Minneapolis, where federal agents shot two demonstrators during clashes tied to immigration enforcement operations.
While Palantir was not directly involved in the incidents, the controversy has revived broader debates about the role of private technology firms in surveillance, policing, and immigration control.
This has exposed Palantir to stark juxtaposition. On one hand, it is benefiting from governments’ willingness to spend heavily on AI tools amid geopolitical tensions and national security concerns. On the other hand, that same dependence on state power exposes the company to reputational and political risks that do not show up neatly in earnings models.
However, Palantir appears well-positioned to capture a significant share of accelerating AI spending in 2026, particularly from defense and public sector clients seeking to turn vast data troves into operational advantage. The challenge for investors is weighing that opportunity against the ethical, regulatory, and political questions that continue to shadow the company’s ascent.






