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BigBear.ai Collaborates with Maqta Tech for AI Customs Solutions

Jack KelloggAvatar
Written by Jack Kellogg
Updated 2/24/2026, 2:32 pm ET 2/24/2026, 2:32 pm ET | 4 min 4 min read

BigBear.ai Inc.’s stocks have been trading up by 5.66 percent, fueled by positive market sentiment and strategic growth developments.

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Live Update At 14:32:03 EST: On Tuesday, February 24, 2026 BigBear.ai Inc. stock [NYSE: BBAI] is trending up by 5.66%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Financial Overview

Reflecting a challenging year, BigBear.ai has battled fluctuating stock prices. On Feb 17, 2026, the stock closed at $3.92, an improvement from the prior day’s close of $3.71, signaling potential market resilience. In contrast, it’s evident from the chart that the stock saw a higher performance earlier, reaching a high of $5.04 in late January. Despite an erratic journey across February, closing at $3.86 to $4.56 across different days, the recent climb might signal investor optimism tied to anticipated earnings results on Mar 2, 2026.

In terms of earnings reports, BigBear.ai’s performance reveals a rocky path: extensive expenditures on long-term investments with negative free cash flow. Though the revenue was reported at $158.24M, the EBITDA was a slight positive at $11.27M. The significant investment in the purchase of tech and long-term assets coupled with substantial losses. However, the positive cash flow from financing now strengthens their cash position to $456.58M by the third fiscal quarter of 2025.

Against this backdrop, partnerships like the ongoing Maqta deal may enable diversification into high-demand fields, potentially contributing to broader revenue streams beyond traditional segments.

Market Reactions: Strategic Moves Define Future

The latest developments have marked BigBear.ai as an intriguing player in the market. The announcement of a strategic tie-up with Maqta Technologies as of Jan 28, 2026, is likely to set the stage for transformations in border operations. Both companies plan to enhance and further deploy AI systems globally, introducing improved systems to increase port efficiency.

Moreover, this aligns with BigBear.ai’s trajectory toward strengthening its national security footprints through acquisitions like CargoSeer, obtained in early February 2026. As the deal expands BigBear.ai’s solutions in cargo scanning and trade risk management, it may captivate partners who recognize the growing need for robust national security frameworks.

The anticipation around BigBear.ai’s Q4 and full-year 2025 earnings on Mar 2, 2026, adds more steam. Investors eyeing resilience in defense and infrastructure segments are hopeful these moves will reflect positively in their upcoming results, cementing BigBear.ai’s position as a trailblazer in advancing AI processes across varied sectors.

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Conclusion: A Ready Spin Forward

As 2026 unfolds, BigBear.ai positions itself strategically with international collaborations and tech acquisitions. These endeavors, paired with the approaching earnings call, may well bolster trader confidence and stave off broader market volatility impact. As millionaire penny stock trader and teacher Tim Sykes says, “Consistency is key in trading; don’t let emotions dictate your trades.” While solidifying relations with parties like Maqta, the company embraces a future-ready stance, promising stakeholders a tale of innovation and adaptability that the AI arena critically demands.

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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Author card Timothy Sykes picture

Jack Kellogg

He teaches webinars on Tim Sykes’ Trading Challenge He became Tim’s youngest millionaire student in 2020. Now he’s second on the Trading Challenge leaderboard with $12.9 million in career earnings. He’s a master of the 7-Step Pennystocking Framework. Jack is one of a rare breed of traders to profitably trade the entire penny stock framework.
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* 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”