Palantir Crushes Q2 Expectations. U.S. Commercial Revenue Soars 149% as AI Demand Accelerates.

Palantir Technologies delivered another blockbuster quarter on Monday, easily surpassing Wall Street expectations as demand for its artificial intelligence software continued to accelerate across both government and commercial customers.

The company's shares jumped in after-hours trading after the results. The Denver-based software firm reported adjusted earnings of 41 cents per share for the second quarter, beating analysts' expectations of 35 cents, while revenue climbed to $1.94 billion, well ahead of the $1.80 billion forecast compiled by LSEG.

Revenue nearly doubled from the same period last year, surging 93% from approximately $1 billion. Net income also posted a dramatic increase, reaching $1.07 billion, or 41 cents per share, compared with roughly $329 million, or 13 cents per share, during the second quarter of 2025.

The standout performance came from Palantir's rapidly expanding U.S. commercial business, which has become one of the company's fastest-growing segments. Revenue from American commercial customers jumped 149% year over year to $764 million, highlighting how corporations continue adopting Palantir's AI-powered software platforms to streamline operations and analyze massive amounts of data.

According to the company, U.S. commercial revenue has now grown 380% since 2024 on a compounded basis. Remaining deal value in the segment more than doubled from a year earlier, reaching $6.24 billion, signaling that customer demand remains strong heading into the second half of the year.

Chief Executive Officer Alex Karp dismissed comparisons with Wall Street expectations, arguing the company's growth is unlike anything seen among businesses of its size. "Forget consensus," Karp told CNBC in an interview following the earnings release. "To my knowledge, no businesses at our scale has even grown half this much."

Although Palantir has long been known for its extensive work with the U.S. military, intelligence agencies and federal government, its government business also continued to expand rapidly. Its U.S. government revenue rose 90% from a year earlier to $809 million.

The strong quarter prompted management to significantly raise its financial outlook. Palantir now expects full-year revenue between $8.15 billion and $8.16 billion, up sharply from previous guidance of $7.65 billion to $7.66 billion.

The company also increased its forecast for U.S. commercial revenue in 2026 to more than $3.42 billion, compared with its earlier projection of $3.22 billion. Karp expressed confidence that the current momentum is far from over."It looks like this is going to go on for at least another 18 months," he told CNBC, suggesting that demand for enterprise AI applications remains in its early stages.

The earnings report arrives during a challenging year for many AI-related stocks. Despite posting exceptional financial results, Palantir shares had fallen roughly 29% this year before Monday's earnings release as investors questioned whether the explosive growth that fueled the AI rally could be sustained.

Monday's results appeared to ease some of those concerns by demonstrating that corporate spending on AI software continues to expand at a rapid pace. Beyond financial performance, Karp also reiterated his position on one of the technology industry's biggest debates: the future of open-weight artificial intelligence models.

Last month, Palantir joined several major technology companies in signing a letter urging the U.S. government not to impose restrictions on open-weight AI models. The CEO has argued that allowing greater competition will strengthen America's position in the global AI race, particularly as Chinese developers narrow the technological gap with U.S. firms.

"We need competition if we're going to keep model companies honest, which is the same thing as enterprise software," Karp said. He added that maintaining U.S. leadership in artificial intelligence will require domestic open-weight models to match the quality and performance of rapidly improving Chinese alternatives.