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BigBear.ai Stock Under Scrutiny for Financial Misreporting

Bryce TuoheyAvatar
Written by Bryce Tuohey
Updated 12/26/2025, 4:43 pm ET | 5 min

In this article Last trade Dec, 26 4:57 PM

  • BBAI-4.66%
    BBAI - NYSEBigBear.ai Inc.
    $5.75-0.28 (-4.66%)
    Volume:  42.60M
    Float:  432.19M
    $5.69Day Low/High$6.07

On Monday, BigBear.ai Inc. stocks have been trading down by -4.98 percent, influenced by recent pivotal news.

Technology industry expert:

Analyst sentiment – negative

BigBear.ai Holdings, Inc. (BBAI) currently exhibits a precarious market position, highlighted by alarmingly negative profitability ratios. With EBIT, EBITDA, and total profit margins indicating significant loss, combined with a gross margin of merely 27.3%, the revenue of $158.24 million fails to compensate for operating inefficiencies. The price-to-book of 4.32 and an enterprise value of $2.28 billion mask reality—investors must cautiously weigh a price-to-sales ratio of 18.26 against underlying debt and an intimidating -43.07% return on assets. Liquidity ratios offer a modicum of respite with a current ratio of 3.1, yet the weakened price-to-cash flow at -68.7 signals considerable operating challenges ahead.

Technically, BBAI’s recent weekly price patterns from December indicate a bearish trajectory, with descending closes from $6.41 to $5.73 within days, confirming downward momentum. The dominant trend reveals sustained selling pressure as the price consistently tests lower levels. Additionally, 5-minute price action corroborates this bearish pattern, with scant volume upticks supporting gains in earlier sessions. For traders, consider selling beyond $5.70 should prices breach $5.71 decisively, targeting immediate support around $5.50, as selling volume in these zones remains significant.

Upcoming catalysts include significant concerns around BBAI’s accounting integrity. Allegedly deficient practices insinuate potential financial misstatements, foreshadowing restatements with considerable reputational damage. Against Tech and Software & IT peers, such transparency issues could erode trust markedly. Expect a steep resistance level at $6.12 with downside support around $5.50. Given these circumstances, and paired with industry comparative underperformance, the outlook remains detrimental. Key price targets lack upward conviction absent a pivot in clarity or market sentiment.

Candlestick Chart

Weekly Update Dec 22 – Dec 26, 2025: On Friday, December 26, 2025 BigBear.ai Inc. stock [NYSE: BBAI] is trending down by -4.98%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

BigBear.ai’s recent financial performance reveals troubling metrics. The company’s gross margin is holding at 27.3%, but deeper analysis shows multiple red flags. Notably, its profitability ratios paint a dire picture, with an EBIT margin of -281.3% and a staggering profit margin of -301.37%. These figures indicate operational inefficiencies that could deter investor interest, especially with news of potential financial restatements looming.

From an asset perspective, BigBear.ai maintains a working capital of $421.8M, offering some short-term liquidity comfort. However, the total debt to equity stands at just 0.19, suggesting limited leveraging for future growth initiatives. The firm carries an enterprise value of approximately $2.29B against a revenue of $158.2M, pointing towards overvaluation concerns that the market will closely monitor.

More Breaking News

The provided key financials depict a company wrestling with significant challenges, and the current market sentiment, driven by accusations of misrepresentation and potential non-compliance, intensifies its woes. What’s immediately concerning is the negative free cash flow which, combined with current allegations, exacerbates uncertainties over BigBear.ai’s near-term financial trajectory.

Conclusion

BigBear.ai faces significant hurdles as accusations of accounting deficiencies loom large. These issues, compounded by underwhelming financial metrics, could lead to volatility and underperformance of its stock. Traders need to closely follow developments to make informed decisions, while potential financial restatements could significantly alter its valuation and perceived transparency in the market. 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.” Therefore, staying vigilant and prepared to exit positions if necessary can be crucial to avoiding losses.

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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Bryce Tuohey

Mentor and Trainer at StocksToTrade.com, Lead Mentor at Small Cap Rockets and To The Moon Report
Bryce’s first pattern was buying into strength in breakouts. But he noticed when they didn’t work, he took bigger losses. When the OTC market got hot, Bryce learned to dip buy the inevitable panics. He adapted his breakout strategy and now buys consolidation and trend breaks. His goal is to have better risk/reward and get an entry before multi-day listed breakouts.
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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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