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| Volume | 923,355 |
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| News | - | ||||||
| Day High | 1.545 | Low High |
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| Day Low | 1.50 | ||||||
| Company Name | Stock Ticker Symbol | Market | Type |
|---|---|---|---|
| BigBear ai Holdings Inc | BBAI | NYSE | Common Stock |
| Price Change | Change Percent | Stock Price | Last Traded
|
|
|---|---|---|---|---|
| -0.026 | -1.70% | 1.504 | 10:36:32 |
| Open Price | Low Price | High Price | Close Price | Prev Close |
|---|---|---|---|---|
| 1.52 | 1.50 | 1.545 | 1.53 |
| Trades | Volume | VWAP | Dollar Volume | Avg Volume | 52 Week Range |
|---|---|---|---|---|---|
| 2,954 | 923,355 | $ 1.52 | $ 1,402,569 | - | 1.16 - 4.795 |
| Last Trade Time | Type | Quantity | Stock Price | Currency |
|---|---|---|---|---|
| 10:36:40 | 3 | $ 1.505 | USD |
BigBear ai Holdings Inc Financials
| Market Cap | Shares in Issue | Float | Revenue | Profit/Loss | EPS | PE Ratio |
|---|---|---|---|---|---|---|
| 236.79M | 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 | 1.76 | 1.77 | 1.50 | 1.61 | 4,262,840 | -0.256 | -14.55% |
| 1 Month | 2.05 | 2.2299 | 1.50 | 1.93 | 6,206,706 | -0.546 | -26.63% |
| 3 Months | 1.79 | 4.795 | 1.50 | 2.81 | 12,890,284 | -0.286 | -15.98% |
| 6 Months | 1.36 | 4.795 | 1.16 | 2.64 | 7,228,088 | 0.144 | 10.59% |
| 1 Year | 3.25 | 4.795 | 1.16 | 2.47 | 5,857,640 | -1.75 | -53.72% |
| 3 Years | 9.84 | 16.12 | 0.58 | 2.93 | 4,138,129 | -8.34 | -84.72% |
| 5 Years | 9.84 | 16.12 | 0.58 | 2.93 | 4,138,129 | -8.34 | -84.72% |
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. |
