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BigBear.ai Shares Climb: Is It Time to Buy?

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Written by Timothy Sykes
Updated 11/11/2025, 9:19 am ET | 6 min

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  • BBAI+15.24%
    BBAI - NYSEBigBear.ai Inc.
    $6.58+0.87 (+15.24%)
    Volume:  20.13M
    Float:  367.00M
    $6.39Day Low/High$7.15

Unveiling strategic contracts and advancements, BigBear.ai Inc. stocks have been trading up by 19.79 percent.

  • The company’s strategic partnership with Tsecond aims to integrate AI for U.S. national security, combining BigBear.ai’s ConductorOS with Tsecond’s BRYCK platform.

  • BigBear.ai’s deployment of its veriScan biometric identity platform at Chicago O’Hare International Airport enhances international travel security with AI-driven technologies.

  • The company’s Q3 earnings per share of (3c) beat the expected (7c), with a reported revenue of $33.1M, exceeding anticipations.

  • The stock surged 14% to $6.49, following the announcement of Q3 results and optimistic guidance.

Candlestick Chart

Live Update At 09:19:07 EST: On Tuesday, November 11, 2025 BigBear.ai Inc. stock [NYSE: BBAI] is trending up by 19.79%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

BigBear.ai Earnings Quick Overview

In the world of trading, understanding the difference between making profits and retaining them is crucial. As millionaire penny stock trader and teacher Tim Sykes, says, “It’s not about how much money you make; it’s about how much money you keep.” This highlights the importance of not just accumulating wealth through trading, but also effectively managing and preserving it. Traders who focus solely on the influx of money often overlook the strategies necessary to sustain their financial growth in the long run.

BigBear.ai recently unveiled its third-quarter earnings, unraveling a unique blend of results that captured the market’s attention. While their revenue slipped by 20% compared to last year, they projected a promising total between $125M and $140M for the entire year of 2025. With a quarter-over-century gross margin lingering at 28%, the company’s earnings per share were adjusted to a better-than-expected (3c) instead of the anticipated (7c). Meanwhile, BigBear.ai’s Ask Sage acquisition is anticipated to amplify ARR to $25M this year. What could this mean for potential investors and the future of BigBear.ai?

Behind the Numbers and Key Financial Metrics

BigBear.ai Holdings reported a Q3 total revenue of $33.1M, shattering consensus estimates at $31.8M in perfect harmony with market expectations. Investors were encouraged by significant developments such as their collaboration with Tsecond, highlighting AI-powered systems for battlefield operations, strengthening ties with U.S. national security interests. Such innovations speak volumes about BigBear.ai’s potential to navigate opportunities in technology and government sectors. However, financial ratios reveal some concerning signals. Despite maintaining a compelling gross margin of 28%, profitability still poses a challenge with negative pretax and profit margins. Return on assets and equity remained underwhelming at -50.53% and -134.36%, respectively, illustrating an essential factor to strategize incremental growth.

More Breaking News

BigBear.ai’s stock exhibited a strong climb on the trading floor, largely credited to exciting spontaneous developments and earnings readings exceeding expectations. Furthermore, the quarterly reports underlined the company’s expanding AI solutions for critical infrastructure, impacting future market dynamics through evolving government partnerships. Financially, while debt-to-equity ratio sat comfortably at 0.42, the cash-to-debt ratio exhibited an 8, showing prudence amidst BigBear.ai’s financial ecosystem. Meanwhile, insight into day-to-day trading indicated a pivot point at the lower $6.30 to $6.79 region. This suggests strategic buying opportunities for keen-eyed investors aiming to interpret optimal market entry points. The stock closed at $5.71 after a several-day rally culminating at $6.13 and once touching $6.49.

Meaningful News Interpretations

In light of these earnings, the absorbed concerns about the intrinsic value and financial metrics were offset by groundbreaking announcements. BigBear.ai’s collaboration with Tsecond heralded notable advancements, exhibiting robust applications relevant to U.S. national security operations. Their collective efforts fast-track AI technology’s efficiency for mission-critical endeavors, ultimately adding broader appeal and nurturing sustained investor trust.

Furthermore, the deployment of their veriScan platform at O’Hare International reflects successfully on BigBear.ai’s operational pragmatism toward revolutionizing border security. Emphasizing the precision this innovative technology can offer, veriScan underscores swift international processing through AI, capturing an average traveler verification time at ten seconds. Understandably, such developments prompt endorsement from stakeholders, industry watchdogs, and the broader public sector community. With this verifiable utility, BigBear.ai becomes a sought-after ally in commerce expansion and border security refinement.

Investor Sentiment and Market Trajectory

As the market buzzing intensified, investors couldn’t help but engage in thorough contemplations surrounding BigBear.ai’s future trajectories. The company’s commitment to pivotal partnerships, reminiscent of Big Data brinkmanship, renders a protective moat around collaborative intelligence systems that boost security protocols for government entities. The acquisition of Ask Sage enhances perceived stocks driven by the profound demand for AI applications within robustly secured environments.

The stock’s trajectory reveals tidings of optimism, manifesting as a 14% boost to the stock price following the newsworthy segments outlined herein. With stakeholders marveling at organic growth ventures within demanding ecosystems, diligent explorations of correlation patterns give investors renewed vigor. It is here, a decisive advantage becomes apparent by approaching investments as contributors safeguarding BigBear.ai’s artistically crafted AI solutions.

Conclusion

Surprisingly, the recent earnings report from BigBear.ai dispels past skeptics with robust partnerships, transformative acquisitions, and promising indicators of consistent revenue growth. Thus, traders now face a juncture where discerning the symmetry of financial metrics with strategic planning can be lucrative. Aspiring stakeholders may indeed welcome profitable opportunities in this dynamically evolving technology trailblazer and could tactically consider a calculated approach in addressing BigBear.ai’s rewarding trading propositions today. However, as millionaire penny stock trader and teacher Tim Sykes says, “There is always another play around the corner; don’t chase just because you feel FOMO.” As AI continues to cultivate programs of unparalleled merit, BigBear.ai’s adeptness to entrench revolutionary systems offers feasibly captivating blueprints for progress, adaptability, and efficiency for years to come.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

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Tim Sykes

Head Writer at TimothySykes.com, Lead Mentor at the Trading Challenge
In his 20-plus years of trading, Tim has made $7.9 million. In his 15-plus years of teaching, Tim’s Trading Challenge has produced over 30 millionaire students. His philosophy emphasizes small gains and cutting losses quickly.
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In this article (YTD Performance)


* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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