BigBear.ai Holdings (BBAI) Goodwill & Intangibles (2020 - 2026)
BigBear.ai Holdings (BBAI) posted Goodwill & Intangibles of $286.06 million for Q3 2026, up 77.5% from $161.12 million a year earlier but down 22.6% from the prior quarter.
BigBear.ai Holdings (BBAI) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings' Goodwill & Intangibles came in at $380.57 million, up 59.8% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' Goodwill & Intangibles was $238.2 million in FY2024 (+82.2%), $130.72 million in FY2023 (-2.7%), $134.37 million in FY2022 (-23.3%) and $175.28 million in FY2021 (-3.6%).
- Quarterly Goodwill & Intangibles has run from a low of $130.63 million in Q2 2023 to a high of $380.57 million in Q4 2025 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last four quarters, with growth averaging 42.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q2 2026, with growth of 125.2%; the weakest was Q3 2025, with a decline of 32.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $369.41 million (Q2 2026), $376.16 million (Q1 2026) and $380.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | BigBear.ai Holdings | 1.06 Bn | -178.04 Mn | 13.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 286.06 Mn |
| Jun 30, 2026 | 369.41 Mn |
| Mar 31, 2026 | 376.16 Mn |
| Dec 31, 2025 | 380.57 Mn |
| Sep 30, 2025 | 161.12 Mn |
| Jun 30, 2025 | 164.07 Mn |
| Mar 31, 2025 | 236.68 Mn |
| Dec 31, 2024 | 238.20 Mn |
| Sep 30, 2024 | 237.88 Mn |
| Jun 30, 2024 | 236.82 Mn |
| Mar 31, 2024 | 240.21 Mn |
| Dec 31, 2023 | 130.72 Mn |
| Sep 30, 2023 | 131.51 Mn |
| Jun 30, 2023 | 130.63 Mn |
| Mar 31, 2023 | 132.50 Mn |
| Dec 31, 2022 | 134.37 Mn |
| Sep 30, 2022 | 154.68 Mn |
| Jun 30, 2022 | 156.62 Mn |
| Mar 31, 2022 | 173.61 Mn |
| Dec 31, 2021 | 175.28 Mn |
BigBear.ai Holdings Goodwill & 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=goodwill-and-intangibles&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();