There is often only a thin line between AI fantasy and real growth on the stock market. At Palantir and BigBear.ai, the quarterly figures show who is mastering this better.

• Palantir is growing significantly faster and raises its annual forecast
• BigBear.ai improves margins and backlog, but makes little progress in sales
• The gap between the market leader and the turnaround bet becomes visible to investors

Why Palantir and BigBear.ai don’t tell the same story

Palantir and BigBear.ai are among the more eye-catching stock market stories at the intersection of artificial intelligence, defense and national security. However, the Q1 numbers show that the stocks don’t tell the same story. Both stocks initially fell after the quarterly reports, but according to TipRanks the reasons differ significantly.

For Palantir, the main question is how much growth the stock has already priced in after its strong run. At BigBear.ai, on the other hand, the core question is whether AI fantasy will finally turn into reliable sales growth. It is precisely this contrast that makes the duel exciting for investors: Palantir has to justify high expectations, BigBear.ai has to first build up new expectations.

Sales dynamics as the first big difference

When comparing sales, the gap becomes clear. According to a company announcement, Palantir increased revenues by 85 percent to $1.633 billion in the first quarter of 2026. According to the company, BigBear.ai came in at $34.4 million, after $34.8 million in the same quarter last year. This is not just a difference in size, but above all a difference in dynamics.

Palantir is visibly benefiting from demand for AI platforms in US government and corporate businesses. US business grew by 104 percent to $1.282 billion. Although BigBear.ai refers to contributions from the Ask Sage acquisition, it also had to absorb lower volumes from Army programs. So while Palantir is already scaling, BigBear.ai is still working on triggering its next growth spurt.

Margin, profit, outlook: This is where the market leader separates from the challenger

Palantir also appears more mature in terms of profitability and outlook. The company reported GAAP earnings per share of $0.34 and adjusted earnings per share of $0.33. Palantir also raised its revenue forecast for 2026 to $7.650 billion to $7.662 billion. With a view to the “Rule of 40” value of 145 percent, CEO Alex Karp said that Palantir had “exploded” this figure.

BigBear.ai, on the other hand, can show progress particularly in individual operational metrics. According to a company statement, the gross margin rose from 21.3 to 34.0 percent, and the backlog increased by 14 percent to $281.9 million compared to the fourth quarter. That gives hope, but does not replace a real jump in earnings: The net loss was $56.8 million, adjusted EBITDA was minus $9.9 million. According to Investing.com, BigBear.ai confirmed the annual forecast of 135 to 165 million US dollars in sales, but the market is now waiting for proof that Backlog and Ask Sage will also visibly generate more revenue.

Expensive market leader versus risky turnaround bet

But Palantir isn’t without its catches either. According to Bloomberg, US commercial sales of $595 million were below expectations. TipRanks also points to DA Davidson analyst Gil Luria, who lowered his price target from $180 to $165 and maintained a neutral rating. The message behind it: Palantir delivers operationally, but the stock is no longer an undiscovered AI profiteer.

BigBear.ai has the opposite problem. The stock offers more turnaround fantasy, but also more operational uncertainty. Investing.com had already pointed out before the figures that investors were paying particular attention to Ask Sage’s contribution. This is exactly where the test lies.

According to the Q1 figures, Palantir is clearly ahead in the direct duel. BigBear.ai remains interesting, but for now more as a speculative bet that better margins, a higher backlog and new security orders will finally turn into stronger growth in the coming quarters.

Benedict Kurschat, editorial team at finanzen.net

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