BigBear.ai Holdings (BBAI) Research & Development (2021 - 2026)
BigBear.ai Holdings' Research & Development was $7.56 million in Q2 2026, up 72.1% from $4.39 million a year earlier and up 36.7% from the prior quarter.
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Analysis
BigBear.ai Holdings (BBAI) Research & Development (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, BigBear.ai Holdings' Research & Development was $21.29 million through Jun 30, 2026, up 44.7% year-over-year; for FY2025, it was $16.75 million, up 54.2% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 99.5% (FY2020 to FY2025).
- In earlier years, Research & Development was $10.86 million in FY2024 (+115.7%), $5.04 million in FY2023 (-40.0%), $8.39 million in FY2022 (+39.1%) and $6.03 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q1 2021.
- Compared with a year earlier, Research & Development has increased for three straight quarters, with growth averaging 71.7% over the last seven quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2025 (growth of 264.2%); the worst was Q4 2022 (a decline of 79.8%).
- Per Business Quant data, BBAI's Research & Development in the three quarters before Q2 2026 was $5.53 million (Q1 2026), $4.82 million (Q4 2025) and $3.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 230.60 Bn | 211.00 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 125.12 Bn | 111.05 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 112.25 Bn | 99.57 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 91.25 Bn | 72.89 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 34.38 Bn | 20.50 Bn | - | - |
| 7 | Okta | 33.57 Bn | 23.66 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 32.01 Bn | 26.54 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 28.98 Bn | 19.45 Bn | 569.77 Mn | 213.87 Mn |
| 10 | BigBear.ai Holdings | 1.04 Bn | -373.05 Mn | 12.05 Mn | 7.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.56 Mn |
| Mar 31, 2026 | 5.53 Mn |
| Dec 31, 2025 | 4.82 Mn |
| Sep 30, 2025 | 3.38 Mn |
| Jun 30, 2025 | 4.39 Mn |
| Mar 31, 2025 | 4.17 Mn |
| Dec 31, 2024 | 2.33 Mn |
| Sep 30, 2024 | 3.82 Mn |
| Jun 30, 2024 | 3.57 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | -349,000.00 |
| Jun 30, 2023 | 2.23 Mn |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 2.54 Mn |
| Mar 31, 2022 | 2.87 Mn |
| Dec 31, 2021 | 5.95 Mn |
| Sep 30, 2021 | 1.36 Mn |
API Access
BigBear.ai Holdings Research & Development 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=research-and-development&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();