BigBear.ai (NYSE:BBAI – Get Free Report) issued its earnings results on Tuesday. The company reported ($0.06) earnings per share for the quarter, missing the consensus estimate of ($0.05) by ($0.01), Zacks reports. BigBear.ai had a negative return on equity of 13.44% and a negative net margin of 65.20%.
BigBear.ai Price Performance
Shares of NYSE:BBAI traded up $0.23 during midday trading on Tuesday, hitting $2.35. 38,810,994 shares of the stock were exchanged, compared to its average volume of 36,277,551. BigBear.ai has a twelve month low of $2.07 and a twelve month high of $7.40. The company has a current ratio of 5.67, a quick ratio of 5.67 and a debt-to-equity ratio of 0.01. The company has a 50 day moving average price of $2.72 and a 200-day moving average price of $3.70. The stock has a market cap of $1.12 billion, a P/E ratio of -11.17 and a beta of 3.37.
Wall Street Analyst Weigh In
Several equities research analysts have recently commented on BBAI shares. Wall Street Zen lowered BigBear.ai from a “hold” rating to a “sell” rating in a research note on Saturday, August 1st. Cantor Fitzgerald lowered their price target on BigBear.ai from $5.00 to $4.00 and set a “neutral” rating on the stock in a report on Friday, July 31st. Finally, Weiss Ratings reaffirmed a “sell (d-)” rating on shares of BigBear.ai in a research note on Thursday, October 15th. One analyst has rated the stock with a Buy rating, one has issued a Hold rating and one has assigned a Sell rating to the company. According to MarketBeat.com, BigBear.ai has a consensus rating of “Hold” and an average target price of $5.00.
Get Our Latest Research Report on BBAI
BigBear.ai Company Profile
BigBear.ai Holdings, Inc (NYSE: BBAI) is an artificial intelligence company that develops decision-intelligence solutions for government and commercial organizations. Its technologies are designed to help customers analyze complex data, identify risks and opportunities, and support planning and operational decision-making.
The company provides artificial intelligence and machine-learning capabilities across areas such as supply-chain management, cyber operations, logistics, autonomous systems, predictive analytics, and computer vision.
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