New York, April 29, 2026, 08:03 EDT
- BigBear.ai jumped 10.46% to finish Tuesday at $4.12, with trading volume hitting 64.9 million shares—roughly 54% higher than its three-month average.
- BigBear.ai Holdings, Inc. will release its first-quarter numbers after markets close on May 5, before an earnings call scheduled for 4:30 p.m. ET.
- Broader AI names stumbled after a report surfaced that OpenAI failed to meet its own internal user and revenue goals, putting fresh pressure on tech shares.
BigBear.ai shares jumped sharply in busy trading ahead of next week’s earnings report, bringing the small-cap defense AI company back into the spotlight. Investors are watching for any indication that government demand will help convert its recent contract wins into actual revenue.
The stock jumped 10.46% on Tuesday, finishing the session at $4.12. According to TipRanks, the rally picked up steam in Wednesday’s pre-market, with investors zeroing in on the May 5 report and the company’s progress in landing fresh AI defense contracts.
The clock is ticking. Right now, Wall Street isn’t handing out rewards just for slapping on an AI tag—it’s looking for companies to deliver contracts, improved margins, tighter cash management, especially after the run-up in tech stocks. BigBear.ai? It’s in the hot seat. The company has the defense AI angle, but investors want to see the actual results.
BigBear.ai plans to release its first-quarter numbers around 4:15 p.m. ET on May 5, with the earnings call set for 4:30. The company, headquartered in McLean, Virginia, bills itself as offering mission-ready AI solutions for national security as well as travel and trade clients.
Expectations for earnings aren’t lining up, with numbers shifting by data source. TipRanks has analysts looking for a loss of 8 cents per share and revenue around $33.60 million. MarketBeat, on the other hand, puts consensus estimates at a 6-cent loss and $33.598 million in revenue. Either way, profitability remains out of reach, so the focus could land on the character of the revenue instead of simply beating the headline numbers.
Competition is a factor here, too. Palantir—the big name in defense AI—delivers its first-quarter numbers May 4. Analysts at TipRanks still lean toward Palantir over BigBear.ai when it comes to sentiment and conviction, though both stocks hold “Moderate Buy” consensus ratings going into earnings. TipRanks
BigBear.ai overhauled its pitch after picking up Ask Sage for $250 million—a generative AI platform already serving upwards of 100,000 users across 16,000 government teams, the company said. CEO Kevin McAleenan pointed to the deal as key to delivering “mission-ready AI that customers can deploy with confidence.” BigBear.ai Holdings, Inc.
Investors came away from the last report with mixed feelings. BigBear.ai posted a 38% drop in fourth-quarter revenue, down to $27.3 million, blaming softer demand from Army contracts. On the flip side, executives highlighted a debt reduction of over 90% and wrapped up 2025 with improved cash on hand.
The risk here is clear enough: genuine government demand for AI doesn’t always show up on schedule. BigBear.ai’s latest annual report lists $114.7 million in 2025 revenue tied to U.S. government clients. But the company’s filing flagged potential trouble—budget changes, contract delays, and shifting defense needs could all put that revenue and future growth at risk.
AI stocks aren’t escaping the pressure. Shares of Oracle, CoreWeave, Arm, and a slate of chipmakers dropped Tuesday, after The Wall Street Journal reported OpenAI fell short on both user growth and revenue. “It causes a ripple effect across the board,” said Todd Schoenberger, chief investment officer at CrossCheck Management, pointing to the broad selloff among AI-linked names. Reuters
BigBear.ai’s May 5 update isn’t shaping up to be just another earnings report; it’s more of a litmus test for credibility. Investors will zero in on contract signings, how efficiently backlog turns into recognized revenue, and signs that Ask Sage is actually pushing the company’s growth higher—not just tacking on a fresh AI narrative to the ticker.
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