BigBear.ai Holdings (BBAI) Receivables (2020 - 2026)
BigBear.ai Holdings (BBAI) posted Receivables of $30.98 million for Q2 2026, up 6.7% from $29.04 million a year earlier and up 30.8% from the prior quarter.
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Analysis
BigBear.ai Holdings (BBAI) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, BigBear.ai Holdings' Receivables came in at $22.92 million, down 57.8% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, BigBear.ai Holdings' Receivables was $54.35 million in FY2024 (+103.0%), $26.77 million in FY2023 (-14.8%), $31.4 million in FY2022 (+7.4%) and $29.23 million in FY2021 (+21.8%).
- The Q2 2026 figure stands as the highest quarterly Receivables since Q1 2025.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with an average decline of 6.6%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2024, with growth of 48.8%; the weakest was Q4 2025, with a decline of 42.5%.
- According to Business Quant data, Receivables for the three prior quarters was $23.68 million (Q1 2026), $22.92 million (Q4 2025) and $26.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | BigBear.ai Holdings | 1.28 Bn | -132.49 Mn | 12.05 Mn | 30.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.98 Mn |
| Mar 31, 2026 | 23.68 Mn |
| Dec 31, 2025 | 22.92 Mn |
| Sep 30, 2025 | 26.55 Mn |
| Jun 30, 2025 | 29.04 Mn |
| Mar 31, 2025 | 35.08 Mn |
| Dec 31, 2024 | 39.85 Mn |
| Sep 30, 2024 | 34.38 Mn |
| Jun 30, 2024 | 34.99 Mn |
| Mar 31, 2024 | 38.96 Mn |
| Dec 31, 2023 | 26.77 Mn |
| Sep 30, 2023 | 29.48 Mn |
| Jun 30, 2023 | 36.62 Mn |
| Mar 31, 2023 | 35.11 Mn |
| Dec 31, 2022 | 31.40 Mn |
| Sep 30, 2022 | 32.98 Mn |
| Jun 30, 2022 | 29.80 Mn |
| Mar 31, 2022 | 29.56 Mn |
| Dec 31, 2021 | 29.23 Mn |
| Dec 31, 2020 | 24.00 Mn |
API Access
BigBear.ai Holdings Receivables 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=receivables&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();