BigBear.ai Holdings (BBAI) Return on Capital Employed [ROCE] (2021 - 2026)
BigBear.ai Holdings (BBAI) recorded Return on Capital Employed [ROCE] of -32.03% in Q3 2026, down 6.83 percentage points from -25.20% a year earlier and down 12.28 percentage points from the prior quarter.
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Analysis
BigBear.ai Holdings (BBAI) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, BigBear.ai Holdings reported Return on Capital Employed [ROCE] of -49.33%, up 144.38 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -15.33 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -193.71% in FY2024 (-163.33 pp), -30.38% in FY2023 (+13.21 pp), -43.59% in FY2022 (-9.59 pp) and -34.00% in FY2021.
- The Q3 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q2 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in four of the last eight quarters, with an average year-over-year change of +7.77 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 61.77 percentage points in Q4 2025, against a drop of 61.91 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -19.75% (Q2 2026), -26.67% (Q1 2026) and -29.64% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | -1.66% |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -25.24% |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 41.17% |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 1.64% |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -2.95% |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 3.21% |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 0.40% |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | -0.47% |
| 10 | BigBear.ai Holdings | 1.06 Bn | -178.04 Mn | 13.59 Mn | -32.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -32.03% |
| Jun 30, 2026 | -19.75% |
| Mar 31, 2026 | -26.67% |
| Dec 31, 2025 | -29.64% |
| Sep 30, 2025 | -25.20% |
| Jun 30, 2025 | -47.14% |
| Mar 31, 2025 | -20.13% |
| Dec 31, 2024 | -91.41% |
| Sep 30, 2024 | -43.62% |
| Jun 30, 2024 | -41.64% |
| Mar 31, 2024 | -55.49% |
| Dec 31, 2023 | -29.49% |
| Sep 30, 2023 | -38.42% |
| Jun 30, 2023 | -46.12% |
| Mar 31, 2023 | -77.98% |
| Dec 31, 2022 | -64.88% |
| Sep 30, 2022 | -88.86% |
| Jun 30, 2022 | -71.77% |
| Mar 31, 2022 | -35.61% |
| Dec 31, 2021 | -29.90% |
API Access
BigBear.ai Holdings Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=BBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=BBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();