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| Volume | 16,138 |
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| News | - | ||||||
| Day High | Low High |
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| Company Name | Stock Ticker Symbol | Market | Type |
|---|---|---|---|
| BigBear ai Holdings Inc | BBAI | NYSE | Common Stock |
| Price Change | Change Percent | Stock Price | Last Traded
|
|
|---|---|---|---|---|
| 0.07 | 4.49% | 1.63 | 07:56:39 |
| Open Price | Low Price | High Price | Close Price | Prev Close |
|---|---|---|---|---|
| 1.56 |
| Trades | Volume | Avg Volume | 52 Week Range |
|---|---|---|---|
| 170 | 16,138 | - | 1.16 - 4.795 |
| Last Trade Time | Type | Quantity | Stock Price | Currency |
|---|---|---|---|---|
| 07:56:39 | formt | 100 | $ 1.63 | USD |
BigBear ai Holdings Inc Financials
| Market Cap | Shares in Issue | Float | Revenue | Profit/Loss | EPS | PE Ratio |
|---|---|---|---|---|---|---|
| 244.63M | 156.82M | - | 155.16M | -60.37M | -0.38 | - |
| Short Interest | Dividends Per Share | Dividend Yield | Ex-Div Date | Insider B/S | Insider % Owned |
|---|---|---|---|---|---|
| - | - | - | - |
BigBear ai News
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Historical BBAI Price Data
| Period | Open | High | Low | VWAP | Avg. Daily Vol | Change | % |
|---|---|---|---|---|---|---|---|
| 1 Week | 1.565 | 1.67 | 1.44 | 1.54 | 3,695,127 | 0.065 | 4.15% |
| 1 Month | 2.22 | 2.2299 | 1.44 | 1.87 | 5,537,836 | -0.59 | -26.58% |
| 3 Months | 1.79 | 4.795 | 1.44 | 2.80 | 12,987,269 | -0.16 | -8.94% |
| 6 Months | 1.30 | 4.795 | 1.16 | 2.63 | 7,280,880 | 0.33 | 25.38% |
| 1 Year | 2.78 | 4.795 | 1.16 | 2.46 | 5,818,768 | -1.15 | -41.37% |
| 3 Years | 9.84 | 16.12 | 0.58 | 2.93 | 4,138,915 | -8.21 | -83.43% |
| 5 Years | 9.84 | 16.12 | 0.58 | 2.93 | 4,138,915 | -8.21 | -83.43% |
BigBear ai Description
| BigBear.ai Holdings Inc is engaged in decision dominance serving the national defense and intelligence communities. It operationalizes artificial intelligence and machine learning at scale through its end-to-end data analytics platform. The company uses its proprietary AI/ML technology to support its customer's decision-making processes and deliver practical solutions that work in complex, realistic, and imperfect data environments. |
