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BigBear.ai and Cerebras Systems represent two distinct approaches to the AI market. BigBear.ai provides decision intelligence solutions primarily for US federal and defence agencies, using AI to help navigate supply chains, manage autonomous systems, and enhance cybersecurity. In FY 2025, BigBear.ai generated roughly $127.7 million in revenue, down approximately 19.3% year-over-year. The company reported a net loss of about $293.9 million, yielding a negative 230.2% net margin. Free cash flow was negative $46.3 million. Around 51% of total sales came from customers contributing over 10% of revenue individually. Cerebras Systems builds wafer-scale chips designed for demanding AI workloads. The company serves sectors including medical research, energy, and agentic AI through hardware sales and cloud services. BigBear.ai has 579 employees, many holding high-level security clearances, and maintains a debt-to-equity ratio of 0.0x with a current ratio of approximately 1.8x.

BigBear.ai: the backlog is growing, but it still has to catch up to the valuation. 2026-09-26 02:07:16 BigBear.ai Holdings (NYSE: BBAI) trades near $2.80-2.84, down roughly 60% over the past year, with a market cap of $1.1-1.3 billion against full-year 2026 revenue guidance of just $135-165 million. Q2 2026 revenue grew 13% year over year to $36.7 million, driven by the Ask Sage generative AI platform, with gross margin expanding 781 basis points to 32.8%. Backlog reached approximately $270 million, up about 9% since year-end 2025. The core tension for investors is straightforward: the government-AI narrative is intact and the margin trend is genuinely improving, but the absolute revenue base remains small relative to the stock's valuation, and adjusted EBITDA losses widened rather than narrowed this quarter. Q2 2026 results: margin improvement, wider losses. BigBear.ai reported second-quarter 2026 revenue of $36.7 million, up 13% year over year, with management attributing the growth primarily to the Ask Sage generative AI platform. Gross margin rose to 32.8%, up 781 basis points from the prior-year period, reflecting a shift in revenue mix toward higher-margin software and platform sales rather than services. The company posted a GAAP net loss of $25.7 million; the prior-year comparison of a $228.6 million loss included non-cash goodwill impairment charges and is not directly comparable. Adjusted EBITDA came in at negative $11.6 million, wider than the negative $8.5 million posted a year earlier, which management attributed to increased investment in sales, marketing, and R&D rather than deteriorating unit economics. The company held approximately $410 million in cash and investments at quarter-end, down from about $432 million at the end of Q1 2026. Backlog stood at approximately $270 million, up roughly 9% from year-end 2025, and the company signed more than 20 new contracts in the quarter, with the largest individual award around $5 million. Full-Year guidance still sets a modest bar. Management maintained full-year 2026 revenue guidance of $135-165 million, characterizing the target as roughly 17% growth, with execution and backlog conversion in the second half described as the key variables to watch. First-quarter 2026 revenue was $34.4 million, roughly flat year over year, with gross margin around 34% and backlog that had climbed sequentially to about $282 million - a figure that included a roughly $53 million, approximately two-year classified intelligence contract awarded on an exclusive basis. Even at the top end of full-year guidance, BigBear.ai would generate $165 million in revenue against a market capitalization north of $1 billion, a multiple that only becomes reasonable if growth accelerates meaningfully beyond the current guided range in subsequent years. Ask Sage is doing the heavy lifting on margin. Ask Sage - a secure generative AI platform built for government use, including air-gapped and disconnected environments - is the product management credits with the gross-margin improvement, and it's the clearest evidence that BigBear.ai is shifting from a lower-margin services model toward scalable software. BigBear.ai acquired Ask Sage for approximately $250 million, and the platform has since won work with NASA, Army Intelligence and Security Command, and the Naval Research Laboratory. Whether this mix shift continues to move the needle depends on whether these government wins expand into larger, recurring software licenses rather than one-off project engagements - a distinction not yet fully resolved by two quarters of margin data. Beyond Ask Sage: A broader mission-ai portfolio. The company's other product lines give the government-AI thesis more than one leg to stand on. CargoSeer, which combines cargo X-ray and imaging analysis with customs-declaration data for AI-driven security screening, secured a five-year commercial deployment in El Salvador - the first such deployment in Central America - with an additional presence at Panama's "dry canal" corridor. ConductorOS provides multi-vendor drone and sensor coordination, and the company's Pangiam threat-detection technology received national-level approval for airport security screening in the Netherlands. BigBear.ai also secured CMMC Level 2 certification ahead of schedule, a compliance milestone relevant to competing for sensitive U.S. government contracts, and added retired Army Lieutenant General Sean A. Gainey to its board in August. Management has been explicit that second-half priorities center on execution against existing backlog plus value-accretive M&A, which is where the $410 million cash position becomes relevant - it's large enough to fund an acquisition without near-term dilution, though it could also be used more conservatively. Analyst coverage remains thin and mixed. Sell-side coverage of BigBear.ai is limited relative to its market cap, and the tone is cautious rather than bullish. Cantor Fitzgerald holds a neutral rating with a $4 price target, lowered in July 2026, while H.C. Wainwright remains more constructive but also cut its target, to around $6. Consensus positioning currently skews toward hold, with price targets clustering in the $4-5 range - above the current share price, but reflecting analysts' own uncertainty about execution rather than a strong conviction call in either direction. Faq. What drove BigBear.ai's Q2 2026 revenue growth? Revenue grew 13% year over year to $36.7 million, which management attributed primarily to the Ask Sage generative AI platform, a secure government-focused GenAI product acquired for approximately $250 million. Is BigBear.ai profitable? No. The company posted a GAAP net loss of $25.7 million and adjusted EBITDA of negative $11.6 million in Q2 2026, with the EBITDA loss widening from negative $8.5 million a year earlier due to increased sales, marketing, and R&D investment. How large is BigBear.ai's contract backlog? Backlog stood at approximately $270 million as of Q2 2026, up about 9% from year-end 2025, and included a roughly $53 million, two-year exclusive classified intelligence contract disclosed in Q1 2026. What is BigBear.ai's full-year 2026 guidance? Management has maintained full-year revenue guidance of $135-165 million, characterized as approximately 17% growth, with second-half execution and backlog conversion described as the key variables.

BigBear.ai Holdings (NYSE: BBAI) board director exits, raising questions about governance continuity. BigBear.ai Holdings (NYSE: BBAI) announced that director Kirk Konert has resigned from its Board of Directors, with the departure taking effect on September 13, 2026. The company was clear that Konert's exit was not the result of any disagreement with BigBear.ai over its operations, policies, or business practices. Konert had held seats on the board's audit and compensation committees, two of the most scrutinized oversight functions for any publicly traded company. The dual committee roles make his departure more consequential than a typical board change, as both audit and compensation oversight are central to investor confidence. BigBear.ai focuses on artificial intelligence-powered decision tools serving US national security, supply chains, and digital identity markets, sectors where governance stability carries real weight. The company carries a market valuation of approximately $1.4 billion and operates primarily within complex, government-linked and enterprise contract environments that demand rigorous board oversight. A $385 million backlog underpins the company's near-term revenue outlook, and management has placed increasing emphasis on multiyear programs as a path to more predictable income. As one analysis of the company's trajectory noted, "With a healthy backlog of $385 million and increased emphasis on multiyear programs, BigBear.ai is positioned to build a stable revenue stream, supporting sustainable growth and improved net margins." The resignation puts pressure on the board to quickly and capably fill Konert's committee seats, particularly as the company pushes to scale platforms such as Ask Sage and expand beyond government contracts. BigBear.ai competes directly with larger and better-capitalized rivals including Palantir and C3.ai, where governance scrutiny from institutional investors is already intense and unrelenting. Analysts have previously flagged dilution and ongoing operating losses as existing risk factors for the company, meaning any further erosion of experienced board oversight adds to investor concerns. The company's broader expansion strategy into defense, security, and commercial sectors requires a board capable of holding management accountable through a period of heavy research and development spending. Succession planning at the board level now becomes a near-term execution test, with investors watching closely to see how swiftly and effectively the vacant committee roles are reassigned.