BigBear.ai Holdings (BBAI) Assets (2020 - 2026)
BigBear.ai Holdings (BBAI) posted Assets of $841.31 million for Q2 2026, up 40.4% from $599.37 million a year earlier but down 2.4% from the prior quarter.
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Analysis
BigBear.ai Holdings (BBAI) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings' Assets came in at $894.55 million, up 160.2% from FY2024.
- Annual Assets has increased for three consecutive years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' Assets was $343.78 million in FY2024 (+72.0%), $199.91 million in FY2023 (+2.4%), $195.31 million in FY2022 (-49.0%) and $383.32 million in FY2021 (+75.5%).
- Quarterly Assets has run from a low of $195.31 million in Q4 2022 to a high of $919.76 million in Q3 2025 over five years.
- On a year-over-year basis, Assets has increased in each of the last 11 quarters, with growth averaging 86.9% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2025, with growth of 160.2%; the weakest was Q4 2022, with a decline of 49.0%.
- According to Business Quant data, Assets for the three prior quarters was $861.66 million (Q1 2026), $894.55 million (Q4 2025) and $919.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 7.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 9.14 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 7.87 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 69.26 Bn |
| 10 | BigBear.ai Holdings | 1.28 Bn | -132.49 Mn | 12.05 Mn | 841.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 841.31 Mn |
| Mar 31, 2026 | 861.66 Mn |
| Dec 31, 2025 | 894.55 Mn |
| Sep 30, 2025 | 919.76 Mn |
| Jun 30, 2025 | 599.37 Mn |
| Mar 31, 2025 | 396.27 Mn |
| Dec 31, 2024 | 343.78 Mn |
| Sep 30, 2024 | 354.08 Mn |
| Jun 30, 2024 | 360.88 Mn |
| Mar 31, 2024 | 377.63 Mn |
| Dec 31, 2023 | 199.91 Mn |
| Sep 30, 2023 | 203.01 Mn |
| Jun 30, 2023 | 208.22 Mn |
| Mar 31, 2023 | 204.57 Mn |
| Dec 31, 2022 | 195.31 Mn |
| Sep 30, 2022 | 216.91 Mn |
| Jun 30, 2022 | 226.50 Mn |
| Mar 31, 2022 | 271.83 Mn |
| Dec 31, 2021 | 383.32 Mn |
| Sep 30, 2021 | 360.27 Mn |
API Access
BigBear.ai Holdings Assets 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=assets&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();