BigBear.ai Holdings (BBAI) Cash & Equivalents (2020 - 2026)
BigBear.ai Holdings (BBAI) posted Cash & Equivalents of $77.11 million for Q3 2026, down 83.1% from $456.58 million a year earlier but up 112.6% from the prior quarter.
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Analysis
BigBear.ai Holdings (BBAI) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings' Cash & Equivalents came in at $87.13 million, up 73.8% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 55.1% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' Cash & Equivalents was $50.14 million in FY2024 (+54.0%), $32.56 million in FY2023 (+157.7%), $12.63 million in FY2022 (-81.7%) and $68.9 million in FY2021 (+610.0%).
- Quarterly Cash & Equivalents has run from a low of $12.63 million in Q4 2022 to a high of $456.58 million in Q3 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with growth averaging 127.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 610.0%; the weakest was Q2 2026, with a decline of 90.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $36.28 million (Q2 2026), $100.7 million (Q1 2026) and $87.13 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 1.71 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 3.75 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 881.23 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 928.35 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 597.70 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 1.00 Bn |
| 10 | BigBear.ai Holdings | 1.06 Bn | -178.04 Mn | 13.59 Mn | 77.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.11 Mn |
| Jun 30, 2026 | 36.28 Mn |
| Mar 31, 2026 | 100.70 Mn |
| Dec 31, 2025 | 87.13 Mn |
| Sep 30, 2025 | 456.58 Mn |
| Jun 30, 2025 | 390.85 Mn |
| Mar 31, 2025 | 107.61 Mn |
| Dec 31, 2024 | 50.14 Mn |
| Sep 30, 2024 | 65.58 Mn |
| Jun 30, 2024 | 72.27 Mn |
| Mar 31, 2024 | 81.41 Mn |
| Dec 31, 2023 | 32.56 Mn |
| Sep 30, 2023 | 32.18 Mn |
| Jun 30, 2023 | 29.92 Mn |
| Mar 31, 2023 | 21.83 Mn |
| Dec 31, 2022 | 12.63 Mn |
| Sep 30, 2022 | 21.96 Mn |
| Jun 30, 2022 | 29.83 Mn |
| Mar 31, 2022 | 59.98 Mn |
| Dec 31, 2021 | 68.90 Mn |
API Access
BigBear.ai Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();