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BigBear.ai Tumbles: What’s Next for Investors?

Matt MonacoAvatar
Written by Matt Monaco
Reviewed by Jack Kellogg Fact-checked by Tim Sykes

BigBear.ai Inc.’s recent financial report painted a cautious outlook for the next quarter, potentially influencing the stock movement. On Wednesday, BigBear.ai Inc.’s stocks have been trading down by -8.04 percent.

Recent Market Performance

  • Recent reports show a notable decline in the stock price, with BigBear.ai dropping 43 cents, landing at $3.23.
  • Investors are closely watching this dip following significant fluctuations in the company’s share value over the past few weeks.

Candlestick Chart

Live Update At 17:20:38 EST: On Wednesday, December 11, 2024 BigBear.ai Inc. stock [NYSE: BBAI] is trending down by -8.04%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Overview of BigBear.ai Inc.’s Earnings and Metrics

Many traders focus on achieving higher earnings and increasing their profits, but they often overlook the importance of managing and retaining what they earn. 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.” Successful trading isn’t just about making trades that earn you a quick profit; it’s about building strategies that ensure the money you earn remains safe and continues to grow over time. Balancing risk management with profit generation is essential in the trading world if one aims to build sustainable wealth.

BigBear.ai, known for its advanced analytics and AI solutions, hasn’t had the smoothest ride lately. The numbers tell a tale of both struggle and strategy with revenues reaching $155M. However, losses have widened with a negative EBIT margin of -100.7% and a pre-tax profit margin standing at -97.7%. Still, it isn’t all bad news for the tech corporation. They’ve managed a gross margin of 27%, suggesting some ability to cover production costs despite other financial hurdles.

Yet, the financial landscape appears precarious. Price-to-sales ratio is at a lofty 5.03, implying the market prices are high compared to the revenue they generate. There seems to be a storm weighing on assets, too, with a return on equity (ROE) dipping to -117.55%. Such figures hint at struggles to turn investments into actual earnings.

From recent financial reports ending Sep 30, 2024, BigBear.ai’s cash flow has shown a substantial outflow, but they’ve invested heavily in technology purchase and sale. Their focus appears to remain on fortifying AI capabilities, pouring capital into tech, despite the mounting challenges on balance sheets. A giant concern among investors is the net loss of $12.176M, reflecting the harsh truth that the road to profitability could be long.

The Impact of Recent News

Stock Value Drop

The sudden stock value drop highlights uncertainties that hinge on BigBear.ai’s strategies and market positioning. The current market tension isn’t unfounded. It’s rooted in a volatile landscape where AI companies are scrutinized more closely than ever before. Investors might feel like they’re on a seesaw, debating whether to hold tight or let go.

Speculations and Sentiment

Despite the recent downturn, speculative interests linger around BigBear.ai, mirroring debates about their value proposition within the tech sphere. Remember, technology stocks often rally when there is news about major developments or breakthroughs. Yet, if such innovation news is absent, bearish trends may prevail.

BigBear.ai’s pigeoning price falls amid promising yet uncoiling AI waves speaks volumes of investor hesitation. As the AI market continues its rapid evolvement, their trajectory hinges on strategic adaptability more than ever.

Moving Forward

More Breaking News

Financial Fortitude Versus Market Pressure

For BigBear.ai, the coming days are a test of resilience and strategic foresight. The company survives in a space where adaptability and technological clout hold sway. These qualities could tip the scales either way— towards rebound or further descent. As millionaire penny stock trader and teacher Tim Sykes says, “The goal is not to win every trade but to protect your capital and keep moving forward.” This mindset is crucial for BigBear.ai as it navigates this dynamic landscape.

From a narrative woven with potential and pressure, BigBear.ai’s journey through shifting sands calls for vigilance from stakeholders, urging them towards sustainability. Will BigBear.ai emerge stronger, recalibrating trader confidence? Industry experts concur— while the path is fraught, opportunities abound. They’re simmering under the surface, waiting for keen eyes and agile strategies to tap and transform volatility into vindication.

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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* 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 .

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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”