Palantir reports booming U.S. commercial revenue growth, topping government for first time

Palantir exceeded Wall Street’s third-quarter expectations on both major measures investors watch: revenue and adjusted earnings per share. Revenue reached $2.31 billion, while adjusted earnings per share came to 44 cents. The results showed stronger performance than analysts had anticipated.

LSEG estimates had called for $2.18 billion in revenue and 41 cents in adjusted earnings per share. That means Palantir delivered $130 million more revenue than expected and three additional cents in adjusted earnings per share. Revenue also nearly doubled from a year earlier.

The beat came as businesses adopted more of Palantir’s artificial intelligence tools. Revenue passed $2 billion for the first time, and net income more than doubled to $1.13 billion. Despite the strong report, shares dipped about 3% in extended trading, showing that market reactions can depend on expectations beyond headline results.

The article does not describe separate products sold by Palantir’s commercial and government businesses. It identifies the customers instead: commercial revenue comes from U.S. businesses, while government revenue comes from U.S. government customers. Both segments use Palantir’s software and artificial intelligence tools, according to the article.

The key example came in the third quarter. U.S. commercial revenue reached $984 million, while U.S. government revenue was $953 million. Commercial revenue therefore moved ahead by $31 million. The comparison matters because Palantir has long been known for strength in government work.

Commercial revenue becoming larger signals a change in the company’s business mix. It suggests businesses are adopting Palantir’s AI tools at significant scale. The shift also gives investors a clearer view of commercial demand, although the article does not say that government business is weakening. Government revenue still grew 96% in the quarter.

Palantir’s U.S. commercial business generated $984 million in third-quarter revenue. It grew 148% from a year earlier. The U.S. government business generated $953 million and grew 96%. Commercial revenue was therefore $31 million larger, even though government revenue also expanded rapidly.

The growth difference is important because Palantir’s traditional reputation rests on government work. Commercial revenue has more than quintupled over the past two years. That longer-term increase shows that the latest quarter was part of a broader expansion, not merely a small change in the customer mix.

The figures point to a company gaining momentum with businesses while retaining strong government growth. The article links the commercial expansion to businesses adopting more of Palantir’s artificial intelligence tools. It does not provide customer counts or explain how much revenue came from individual contracts, so the percentages describe revenue growth, not customer growth.

If commercial customers become Palantir’s larger revenue source, the company’s business mix would shift away from its historic government emphasis. In general, a broader commercial base can reduce reliance on government budgets, procurement cycles, and public-sector contracts. Those effects are general business implications, not outcomes stated in the article.

The current example is clear. U.S. commercial revenue reached $984 million in the third quarter, ahead of $953 million from the U.S. government. Commercial revenue also grew 148%, compared with 96% growth for government revenue, and has more than quintupled in two years.

A sustained shift could make commercial demand increasingly important to Palantir’s growth and future forecasts. It could also make the company’s performance more closely tied to business adoption of AI tools. However, the article does not say that Palantir will reduce government work, nor does it describe changes to profitability, contracts, or risk.

Revenue guidance is a company’s publicly stated forecast for how much money it expects to generate in a future period. It helps investors judge management’s expectations and compare future performance with earlier forecasts. Guidance is not a guarantee; it is an estimate based on available business information.

Palantir raised its full-year U.S. commercial revenue forecast to more than $3.56 billion. The previous quarter’s forecast was $3.42 billion. The increase followed a quarter in which total revenue reached $2.31 billion, beating the $2.18 billion analyst estimate, while U.S. commercial revenue grew 148%.

The stronger results gave management evidence that commercial demand was exceeding its earlier expectations. Palantir also projected about $2.65 billion in fourth-quarter revenue and about $8.53 billion for full-year 2026. The article does not provide the detailed forecasting model, so it does not identify which specific assumptions changed.

AI tools are software systems that can examine data, identify patterns, generate outputs, or help carry out tasks. Businesses may adopt them to make information easier to use, speed up analysis, and support decisions. Those are general uses of AI; the article does not list specific Palantir customer workflows.

Palantir’s reported results provide a concrete example of adoption. U.S. commercial revenue jumped 148% to $984 million in the third quarter. The company linked its performance to businesses adopting more of its artificial intelligence tools. This commercial revenue surpassed U.S. government revenue for the first time.

The business effect is already visible in Palantir’s numbers. Total revenue nearly doubled from a year earlier and passed $2 billion for the first time. Continued adoption could support further commercial growth, but the article does not say which tasks customers automate or how much human decision-making the software replaces. It only establishes rising business use and stronger revenue.

An open-weight AI model makes its trained parameters available for others to use or adapt, although the exact freedoms depend on its license. Data sovereignty means an organization or country retains control over where its data is stored, how it is used, and who can access it. These are general definitions; the article does not give a technical model specification.

The issue matters because businesses may want AI systems that they can control without surrendering authority over valuable data. Palantir CEO Alex Karp has openly supported open-weight models. He has also criticized leading AI labs, saying they are forcing businesses to sell their data sovereignty.

That debate can influence which AI systems companies choose and how governments manage liability. Karp reiterated calls to nationalize AI labs, calling it the only realistic way to manage liability. The article also reports his warning that AI’s political ramifications are already here, but it does not describe any specific company changing systems because of these concerns.