Palantir Q2 earnings beat expectations, US stock AI trading narrative continues

• US commercial sales surged 149% year-over-year to $764 million, well above the analyst consensus of $716.4 million.
• Total revenue grew 93% year-over-year to $1.94 billion, beating the market expectation of $1.8 billion.
• Full-year revenue guidance was raised sharply to a range of $8.150 billion to $8.158 billion, far exceeding the previous consensus estimate of $7.7 billion.
• Full-year adjusted operating profit guidance was lifted from the prior range of $4.45 billion to $4.89–$4.91 billion.

The market wasted no time rewarding these results: shares jumped roughly 14% in after-hours trading.

1. This Earnings Report Hit the 市場’s Most Sensitive Nerve

The timing of Palantir’s earnings report could not be more critical.

Throughout July, chip stocks kept pulling back, and confidence in the original 人工智慧 trade narrative was beginning to crack. More and more investors were carrying the same question: how much longer can this narrative hold? The entire market turned into a detective, chasing any clue that might offer a glimpse of an answer—and Palantir’s report happened to be an extremely weighty piece of the puzzle.

More importantly, it answered not just “is AI demand still strong?” but a sharper question: with the rise of foundation model companies like Anthropic and OpenAI, can the traditional SaaS pricing model represented by Palantir still work? If large model companies start selling software directly, will Palantir and its peers face a dimensionality reduction attack?

2. The CEO’s Counterpunch: Not Building Models, But Building a Company That “Lets You Switch Models”

Facing the “large model replacement” thesis, CEO Alex Karp did not dodge this time. Instead, he placed “AI sovereignty” at the center of the narrative and pushed back head-on.

Management’s logic is clear: Palantir’s product positioning is as an integration and management interface for large language models (LLMs), not a single model itself. What its software offers enterprises is an architecture that allows them to flexibly switch between different AI models—clients can use one company’s large model today and switch to another tomorrow, without being held hostage by any single model provider.

Karp’s wording was notably sharp: he praised customers for refusing to become “vassal states of language laboratories,” and pitched Palantir as a company that “allows you to change models.”

The brilliance of this narrative lies in how it flips what was originally a negative—the rise of large model companies—into a positive: the more models there are, the stronger and more commoditized they become, the more enterprises need a neutral integration layer to manage and switch between them. The 149% growth in commercial revenue is the market’s most genuine vote for this logic.

3. August Has Harder Battles Ahead

Palantir gave US stocks a strong start, but August’s tests are only just beginning.

Tomorrow after the US market close, SpaceX will report its first quarterly earnings since going public in June. As its debut earnings release, the market will focus on evaluating the performance of its three major business lines—rocket launches, Starlink satellite internet, and AI infrastructure—and answer a fundamental question: is there real earnings support behind the current high valuation?

The market expects SpaceX’s second-quarter revenue to be approximately $6.88 billion, with a loss per share of $0.23 and quarterly EBITDA of around $2.1 billion. Full-year revenue is expected at roughly $39 billion, with EBITDA around $17.3 billion.

But the biggest focus of this report isn’t rockets—it’s AI. In February of this year, SpaceX acquired Musk’s AI company xAI in an all-stock transaction and integrated the business into its corporate structure. Data shows that SpaceX’s first-quarter AI business generated approximately $818 million in revenue, but posted an operating loss of as much as $2.5 billion, while pouring $7.7 billion in capital expenditures into AI infrastructure and data center construction.

Revenue of $0.8 billion, a loss of $2.5 billion, and capex of $7.7 billion—these numbers ensure investors will be laser-focused on two things: how far the AI business has progressed in commercialization, and how much revenue contribution partnerships with companies like Anthropic and Google can bring. As the first major test after going public, every piece of guidance from SpaceX management will be scrutinized under a microscope.

Further down the line, Nvidia’s earnings will close out the month as the grand finale, with major trading events running throughout August.

4. Final Thoughts: Smart Money Buys Insurance First

Laying out August’s calendar: Palantir is just the opener, SpaceX reports tomorrow, Nvidia closes the month, and in between are earnings releases from a host of other tech stocks. Every single one is large enough to move the entire sector, and every earnings night could bring sharp swings in either direction.

In this kind of market structure, the biggest risk is not getting the direction wrong—it’s getting the direction right but being shaken out by violent earnings-night volatility, or taking a serious hit from a single misstep. Holding spot positions through earnings season is like being naked—sure, a surge feels great, but if results miss expectations, a gap-down loss comes with no buffer at all.

That’s why experienced investors use options during earnings season. The maximum loss on a purchased option is locked in at the moment of execution—it’s simply the premium paid—which amounts to spending a 德菲ned, limited cost to buy insurance for your positions or your thesis. Setting up options before earnings means that if you’re right, you capture the amplified gains from volatility, and if you’re wrong, your downside is clearly capped. This structure of “capping risk upfront while keeping upside open” is naturally built for earnings-heavy periods.

And these tools can be fully set up on the BIT exchange platform. BIT’s options feature is now officially live, providing precisely the right risk management toolkit for the August earnings season—so investors can always put insurance on their positions.

Risk Disclosure:

The above content is solely market commentary and educational material, compiled based on public earnings data and market expectations. It does not constitute investment advice, research reports, offers, or solicitations, nor does it constitute a forecast or guarantee of the future performance of any securities, including PLTR, SPCX, NVDA. The earnings data, market expectations, and stock price movements referenced herein are as of the time of writing and may change thereafter or differ from actual disclosures. Please refer to the companies’ official earnings reports and real-time quotes on the BIT App for accurate information. Management statements and market interpretations reflect the views of the respective parties only and do not represent BIT’s positions or recommendations. Options trading involves significant risks, including but not limited to loss of principal, time value decay, and exercise/assignment risk. Leverage can amplify gains as well as losses and may not be suitable for all investors. Please fully understand the product terms and your own risk tolerance before participating.

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