BigBear.ai Holdings (BBAI) Intangibles (2020 - 2026)
BigBear.ai Holdings (BBAI) reported Intangibles of $124.39 million for Q3 2026, up 10.4% from $112.67 million a year earlier but down 4.9% from the prior quarter.
Powered by 
Analysis
BigBear.ai Holdings (BBAI) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings posted Intangibles of $139.47 million, up 17.1% from FY2024.
- Intangibles has a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, Intangibles came in at $119.12 million in FY2024 (+45.2%), $82.04 million in FY2023 (-4.3%), $85.69 million in FY2022 (+2.4%) and $83.65 million in FY2021 (-7.6%).
- Five-year quarterly Intangibles spans a low of $81.95 million in Q2 2023 and a high of $139.47 million in Q4 2025.
- Year over year, Intangibles has now increased in each of the last four quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q4 2024 (growth of 45.2%); the low point was Q2 2023 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $130.84 million (Q2 2026), $137.42 million (Q1 2026) and $139.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 426.53 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 74.40 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 19.74 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 214.36 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 80.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 281.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 30.73 Mn |
| 10 | BigBear.ai Holdings | 1.06 Bn | -178.04 Mn | 13.59 Mn | 124.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 124.39 Mn |
| Jun 30, 2026 | 130.84 Mn |
| Mar 31, 2026 | 137.42 Mn |
| Dec 31, 2025 | 139.47 Mn |
| Sep 30, 2025 | 112.67 Mn |
| Jun 30, 2025 | 115.62 Mn |
| Mar 31, 2025 | 117.60 Mn |
| Dec 31, 2024 | 119.12 Mn |
| Sep 30, 2024 | 119.26 Mn |
| Jun 30, 2024 | 118.20 Mn |
| Mar 31, 2024 | 120.44 Mn |
| Dec 31, 2023 | 82.04 Mn |
| Sep 30, 2023 | 82.82 Mn |
| Jun 30, 2023 | 81.95 Mn |
| Mar 31, 2023 | 83.82 Mn |
| Dec 31, 2022 | 85.69 Mn |
| Sep 30, 2022 | 87.55 Mn |
| Jun 30, 2022 | 89.46 Mn |
| Mar 31, 2022 | 81.98 Mn |
| Dec 31, 2021 | 83.65 Mn |
API Access
BigBear.ai Holdings Intangibles 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=intangibles&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();