Volume | 39,758 |
|
|||||
News | - |
Share Name | Share Symbol | Market | Stock Type |
---|---|---|---|
BigBear ai Holdings Inc | BBAI.WS | NYSE | Equity Warrant |
Open Price | Low Price | High Price | Close Price | Previous Close |
---|---|---|---|---|
0.1558 | 0.142 | 0.165 | 0.151 | 0.1528 |
Trades | Shares Traded | VWAP | Financial Volume | Average Volume |
---|---|---|---|---|
71 | 39,758 | 0.1509723 | 6,002 | - |
Last Trade | Type | Quantity | Price | Currency |
---|---|---|---|---|
18:00:00 | 100 | 0.151 | USD |
BigBear ai Holdings Inc Financials
Market Cap | Shares in Issue | Float | Revenue | Profit/Loss | EPS | PE Ratio |
---|---|---|---|---|---|---|
37.16M | - | - | - | - |
Short Interest | Dividends Per Share | Dividend Yield | Ex-Div Date | Insider B/S | Insider % Owned |
---|---|---|---|---|---|
- | - | - | - |
News BigBear ai
Date | Time | Source | Heading |
---|---|---|---|
3/05/2024 | 07:35 | AllPennyStocks.com | AI Stock Bid Up Premarket Following Big Monday Session |
{{bbMessage.M_Alias}} {{bbMessage.MSG_Date}} {{bbMessage.HowLongAgo}} {{bbMessage.MSG_ID}} {{bbMessage.MSG_Subject}} |
Loading Messages....
BBAI.WS Historical
Period † | Open | High | Low | VWAP | Avg. Daily Vol | Change | % |
---|---|---|---|---|---|---|---|
1 Week | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
1 Month | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
3 Months | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
6 Months | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
1 Year | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
3 Years | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
5 Years | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00% |
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. |