BigBear.ai Holdings (BBAI) Total Non-Current Liabilities (2020 - 2026)
BigBear.ai Holdings (BBAI) posted Total Non-Current Liabilities of $70.54 million for Q2 2026, compared with -$10.38 million a year earlier and down 0.1% from the prior quarter.
BigBear.ai Holdings (BBAI) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings' Total Non-Current Liabilities came in at $182.34 million, down 21.2% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' Total Non-Current Liabilities was $231.34 million in FY2024 (+0.6%), $229.91 million in FY2023 (+23.9%), $185.54 million in FY2022 (+3.8%) and $178.81 million in FY2021 (+51.6%).
- Quarterly Total Non-Current Liabilities has run from a low of -$10.38 million in Q2 2025 to a high of $268.16 million in Q3 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last four quarters, with an average decline of 26.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 51.6%; the weakest was Q1 2025, with a decline of 57.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $70.63 million (Q1 2026), $182.34 million (Q4 2025) and $16.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | BigBear.ai Holdings | 1.28 Bn | -132.49 Mn | 12.05 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.54 Mn |
| Mar 31, 2026 | 70.63 Mn |
| Dec 31, 2025 | 182.34 Mn |
| Sep 30, 2025 | 16.28 Mn |
| Jun 30, 2025 | -10.38 Mn |
| Mar 31, 2025 | 100.85 Mn |
| Dec 31, 2024 | 231.34 Mn |
| Mar 31, 2024 | 234.45 Mn |
| Dec 31, 2023 | 229.91 Mn |
| Sep 30, 2023 | 215.70 Mn |
| Jun 30, 2023 | 229.07 Mn |
| Mar 31, 2023 | 215.95 Mn |
| Dec 31, 2022 | 185.54 Mn |
| Sep 30, 2022 | 224.97 Mn |
| Jun 30, 2022 | 220.58 Mn |
| Mar 31, 2022 | 221.43 Mn |
| Dec 31, 2021 | 178.81 Mn |
| Sep 30, 2021 | 268.16 Mn |
| Jun 30, 2021 | 265.77 Mn |
| Mar 31, 2021 | 263.60 Mn |
BigBear.ai Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();