Palantir Q2 FY 2026 Earnings Surge on US Commercial AI Demand

Palantir Q2 FY 2026 Earnings Surge on US Commercial AI Demand

Analyst(s): Mitch Ashley
Publication Date: August 5, 2026

Palantir’s Q2 FY 2026 results extended a run of accelerating growth, with US commercial revenue up 149% and total revenue up 93% as enterprises rushed to adopt its AI platform. The company raised full-year guidance well above consensus, framing the quarter around demand for AI sovereignty and its widening lead in deployed enterprise AI.

What Is Covered in This Article:

  • Palantir’s Q2 FY 2026 financial results
  • US commercial revenue leads the surge
  • AIP and the AI sovereignty thesis
  • Government growth and record bookings
  • Guidance and Final Thoughts

The News: Palantir Technologies (NASDAQ: PLTR) reported results for the second quarter ended June 30, 2026. Revenue was $1.94 billion, up 93% year on year (YoY) and 19% sequentially, versus consensus of $1.81 billion. By segment, commercial revenue rose 110% YoY to $945 million, led by US commercial revenue up 149% to $764 million, while government revenue grew 79% YoY to $990 million, including US government revenue up 90% to $809 million. Adjusted income from operations was $1.19 billion, a 62% margin. GAAP net income was $1.06 billion, a 55% margin, and diluted earnings per share (EPS) was $0.41 on both a GAAP and adjusted basis. Adjusted free cash flow reached $1.22 billion, and the Rule of 40 score climbed to 155%.

“Demand for AI sovereignty has now been unleashed. And Palantir is the only company that has demonstrated it can transform tokens into actual economic value,” said Alex Karp, Co-Founder and CEO of Palantir Technologies. “This quarter was otherworldly: our U.S. commercial revenue grew 149% year-over-year, our overall revenue grew 93% year-over-year, and our Rule of 40 score climbed to 155%.”

Palantir Q2 FY 2026 Earnings Surge on US Commercial AI Demand

Analyst Take: Palantir turned in a quarter that is hard to overstate: 93% revenue growth at scale, expanding margins, and a Rule of 40 score of 155% that few software companies have ever approached. The engine is US commercial, where revenue grew 149% as enterprises moved from experimenting with AI to deploying it in production. Management’s framing centers on AI sovereignty, the idea that companies want to own their models, data, and decisions rather than feed a third party’s foundation model. That positioning, paired with Palantir’s forward-deployed engineering model, is converting pilots into large multi-year contracts at a record pace. The valuation debate will continue, but the operating story is one of a company pulling away in enterprise AI deployment.

US Commercial Growth Reaches Escape Velocity

US commercial revenue grew 149% year over year and 28% sequentially to $764 million, the clearest evidence that American enterprises are adopting Palantir’s platform at scale. The customer base tells the same story, with US commercial customers reaching 653 as new logos and expansions stacked up (Source: Palantir). Bookings ran even hotter than revenue: Palantir closed a record $2.132 billion of US commercial total contract value, up 153% year over year, and $5.964 billion over the trailing 12 months. That gap between bookings and recognized revenue points to a long runway, since signed contracts convert to revenue over multiple years. Rising remaining deal value, up 124% year over year in US commercial, reinforces the durability of the growth rather than a one-quarter spike. Palantir’s commercial motion has shifted from proving the concept to scaling it across the US market.

AIP and the AI Sovereignty Thesis

Palantir is selling enterprise control: the ability to own their AI models, data, and decisions rather than becoming training data for someone else’s foundation model. Its Artificial Intelligence Platform, or AIP, is the control plane for that, pairing large models with telemetry, evaluations, and customer-specific benchmarks so companies can measure and improve their own systems. Management described a bake-off in which AIP and Palantir’s forward-deployed engineers beat a frontier AI lab’s own team on the same models and timeline, a claim that captures the company’s core differentiator. That forward-deployed model, embedding engineers alongside customers, is how Palantir compresses the distance from pilot to production. The sovereignty message lands hardest in regulated and security-sensitive settings, where data control is not optional. If AIP keeps winning head-to-head deployments, Palantir’s moat is less about model quality and more about turning models into governed, working systems.

Government Momentum and a Record Bookings Backlog

Government revenue grew 79% year over year to $990 million, with US government up 90% across both defense and civil agencies as they embraced AI with new urgency. International government revenue grew 42% to $181 million, showing the demand is not confined to the US. Total closed contract value reached $3.4 billion for the quarter, up 49% year over year, and total remaining deal value hit $13.1 billion, up 83%. That backlog gives Palantir unusual visibility for a company growing this fast, since much of next year’s revenue is already contracted. The company also surpassed $1 billion in quarterly GAAP net income and adjusted free cash flow, milestones that separate it from most high-growth software peers. Government and commercial are now compounding together, which reduces reliance on the lumpy, headline-driven government deals that once defined Palantir.

Guidance and Final Thoughts

Palantir raised full-year 2026 revenue guidance to between $8.150 billion and $8.158 billion, well above the prior range and consensus near $7.73 billion, implying roughly 82% growth. It lifted US commercial revenue guidance to more than $3.424 billion, a growth rate of at least 134%, and raised adjusted income from operations guidance to about $4.89 billion. For the third quarter, it guided revenue of roughly $2.16 billion, ahead of the $2.0 billion consensus. The scale of the raise, ten points above the prior full-year view, is what pushed the stock higher after results. The open question is valuation rather than execution, since Palantir trades at a multiple that already prices in years of hypergrowth. For technology buyers, the signal is that governed, deployed enterprise AI has crossed from pilot budgets into core spending, and Palantir is the clearest beneficiary so far.

See the full press release on Palantir’s Q2 FY 2026 financial results on the company website.


Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Read the full Futurum Group Disclosure.

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Author Information

Mitch Ashley

Mitch Ashley is VP and Practice Lead for the CIO & Technology Buyers and Software Lifecycle Engineering practices at The Futurum Group. A multi-time CIO and CTO with 30+ years leading technical organizations, Mitch built and operated production systems spanning cybersecurity for the U.S. Department of Defense, PKI services for the broadband and 5G industries, SaaS platforms, large-scale telecom and banking systems, and a national broadband network. His work with AI began early, developing expert systems that diagnosed and repaired complex mainframe environments. That operator foundation grounds his analysis in operational consequence, covering the technology buyer's world of software engineering, cybersecurity, DevOps, cloud, and AI.

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