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BigBear.ai Stock: Surprising Surge or Hidden Trap?

Ellis HobbsAvatar
Written by Ellis Hobbs
Updated 7/15/2025, 2:32 pm ET | 5 min

In this article Last trade Aug, 25 7:44 PM

  • BBAI-3.64%
    BBAI - NYSEBigBear.ai Inc.
    $5.30-0.20 (-3.64%)
    Volume:  55.94M
    Float:  366.63M
    $5.28Day Low/High$5.58

BigBear.ai Inc. stock has been trading up by 3.4 percent amid positive sentiment from recent artificial intelligence advancements.

  • Adding more weight to BigBear.ai’s portfolio, their biometric software is now being used for enhanced processing at key international airports and ports across the U.S., boosting confidence in their tech capabilities.

  • These advancements collectively pushed BBAI’s share price up by 2%. Investors seem to favor these signs of strategic growth from this tech-centric enterprise.

Candlestick Chart

Live Update At 14:32:07 EST: On Tuesday, July 15, 2025 BigBear.ai Inc. stock [NYSE: BBAI] is trending up by 3.4%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Financial Snapshot: Key Metrics at a Glance

When it comes to generating consistent returns in the trading market, understanding the intricate patterns and ever-changing dynamics is crucial. As millionaire penny stock trader and teacher Tim Sykes, says, “Consistency is key in trading; don’t let emotions dictate your trades.” Keeping emotions in check and sticking to a well-planned strategy can significantly increase the likelihood of success, as rash decisions often lead to avoidable losses. With a focus on discipline, traders can navigate the complexities of the market while making informed and calculated decisions.

BigBear.ai has been making waves, but what do its fundamental numbers reveal? Let’s break it down:

The company reported a total revenue of $34.75 million in its recent earnings report. However, a net income of approximately -$61.99 million indicates they are still operating at a significant loss. The profitability seems shaky with an EBIT margin of -128.5%, and the gross margin standing at 28.5% suggests room for improvement in efficiency.

Their balance sheet reveals total assets at a healthy $396.27 million with a current ratio of 1.7, suggesting a capacity to meet short-term obligations. But with long-term debt totaling $109.35 million, there’s a need for astute financial maneuvering.

The frequent narrative of potentially undervalued AI stocks often graces BigBear.ai’s outlook, despite its current weak profitability ratios. The future goal would be stabilizing income streams and reducing losses, reinforcing the stock’s intrigue.

Major Developments in AI-Driven Technologies for National and International Relevance

The Capstone 5 Outcome

Participation in Capstone 5 underscores BigBear.ai’s commitment to contributing toward defense solutions. By leveraging the VANE platform, BigBear.ai showcases its unique capabilities to anticipate and strategize in complex military scenarios.

What makes this noteworthy is the growing global demand for sophisticated tech solutions in defense—providing BigBear.ai with a secure seat at the defense innovation table. Having major defense markets align with AI tech provides BBAI with the opportunity for considerable contract wins.

Airport Security Innovations

Pangiam, a BigBear.ai company, now oversees a pivotal shift in biometric security at several U.S. airports. By ensuring streamlined, secure international arrivals, the technology has managed to attract institutional confidence in its application for national security.

These tech solutions aren’t just innovations but real-world applications tapping into widespread demand for secure, efficient, and user-friendly processes. This strategy holds the potential to broaden BigBear.ai’s roles in other public service sectors too.

More Breaking News

The Market’s Reaction and Future Speculations

Recent stock price movements point to optimism surrounding BigBear.ai’s projects. Share prices are up, showing investor confidence in BigBear.ai’s potential to capitalize on these strategic deployments.

Overall, a whiff of bullish sentiment is noticeable in the latest market mood. With developments in both defense and public safety, stakeholders can anticipate avenues for revenue diversification in the coming quarters. Yet, the financials urge caution, emphasizing the need for a sustainable growth plan to buttress this enthused market speculation.

On balance, BigBear.ai appears poised for potential turning points, funneling innovation into sector-specific solutions that investors are betting on. However, moving toward profitability is the next essential step for this intriguing AI player. As millionaire penny stock trader and teacher Tim Sykes says, “It’s better to go home at zero than to go home in the red.” This adage underscores the caution traders may need to exercise, focusing on solid, sustainable strategies. Whether BigBear.ai can surmount the challenge of transitioning from a promising venture to a financially robust enterprise remains the focal question.

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.

Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles:

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Ellis Hobbs

Trainer and Mentor on Tim Sykes’ Trading Challenge
He teaches webinars on Tim Sykes’ Trading Challenge He treats trading like a business, not a hobby He emphasizes taking small risks — “If you get the process right, money is a forgone conclusion.”
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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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