Last mentioned: Mar 22, 2026
March Slide Continues
Stock continues to fall as market participants question the company's 2026 revenue guidance.
Monthly Loss Finalized
BigBear.ai closes February with a total loss of 21.4% for the month.
Earnings Sentiment Shifts
Analysts lower price targets ahead of quarterly updates, citing integration costs for Pangiam.
February Decline Begins
BBAI stock starts the month under selling pressure following sector-wide rotation.
A surge in market interest for AI-driven robotics and cryptocurrency infrastructure is highlighting a shift toward high-growth technology sectors. Companies like BigBear.ai and Serve Robotics are emerging as key players in the intersection of machine learning and physical automation.
BigBear.ai (BBAI) experienced a sharp 21.4% decline in February, a trend that has persisted into March following disappointing financial results and cautious forward guidance. The sell-off highlights growing investor scrutiny toward AI companies that struggle to translate technological hype into sustainable revenue growth and profitability.
Recent earnings reports from BigBear.ai and Vertiv highlight a growing divide in the AI sector between infrastructure providers and analytics firms. While Vertiv benefits from robust data center demand despite a high valuation, BigBear.ai faces significant headwinds with declining revenue and persistent losses.
Quanterix reported a 25% revenue surge driven by its Simoa and Spatial platforms, securing critical CMS reimbursement for its Alzheimer’s diagnostic test. Meanwhile, BigBear.ai is navigating a transitional period, narrowing losses and expanding into the UAE to offset declining domestic government program volumes.
This page surfaces every story mentioning BigBear.ai across our ai coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running ai beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where BigBear.ai was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |