BigBear.ai Holdings (BBAI) Revenue (2021 - 2026)
BigBear.ai Holdings' Revenue was $36.75 million in Q2 2026, up 13.2% from $32.47 million a year earlier and up 6.7% from the prior quarter.
BigBear.ai Holdings (BBAI) Revenue (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, BigBear.ai Holdings' Revenue was $131.63 million through Jun 30, 2026, down 13.7% year-over-year; for FY2025, it was $127.67 million, down 19.3% from FY2024.
- Revenue shows a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- In earlier years, Revenue was $158.24 million in FY2024 (+2.0%), $155.16 million in FY2023 (+0.1%), $155.01 million in FY2022 (+6.5%) and $145.58 million in FY2021 (+361.4%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q4 2024.
- Compared with a year earlier, Revenue was higher in four of the last eight quarters, with an average decline of 3.6%.
- The best year-over-year quarter for Revenue over five years was Q3 2024 (growth of 22.1%); the worst was Q4 2022 (a decline of 53.0%).
- Per Business Quant data, BBAI's Revenue in the three quarters before Q2 2026 was $34.44 million (Q1 2026), $27.3 million (Q4 2025) and $33.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | BigBear.ai Holdings | 1.28 Bn | -132.49 Mn | 12.05 Mn | 36.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.75 Mn |
| Mar 31, 2026 | 34.44 Mn |
| Dec 31, 2025 | 27.30 Mn |
| Sep 30, 2025 | 33.14 Mn |
| Jun 30, 2025 | 32.47 Mn |
| Mar 31, 2025 | 34.76 Mn |
| Dec 31, 2024 | 43.83 Mn |
| Sep 30, 2024 | 41.51 Mn |
| Jun 30, 2024 | 39.78 Mn |
| Mar 31, 2024 | 33.12 Mn |
| Dec 31, 2023 | 40.56 Mn |
| Sep 30, 2023 | 33.99 Mn |
| Jun 30, 2023 | 38.46 Mn |
| Mar 31, 2023 | 42.15 Mn |
| Dec 31, 2022 | 40.36 Mn |
| Sep 30, 2022 | 40.65 Mn |
| Jun 30, 2022 | 37.61 Mn |
| Mar 31, 2022 | 36.39 Mn |
| Dec 31, 2021 | 85.81 Mn |
| Sep 30, 2021 | 40.22 Mn |
BigBear.ai Holdings Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "BBAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();