Joby Aviation (JOBY) Return on Capital Employed [ROCE] (2021 - 2026)
Joby Aviation's Return on Capital Employed [ROCE] was -32.57% in Q2 2026, up 24.73 percentage points from -57.29% a year earlier and up 2.58 percentage points from the prior quarter.
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Analysis
Joby Aviation (JOBY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Joby Aviation came in at -50.00%, up 0.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -23.53 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -50.22% in FY2024 (-12.03 pp), -38.19% in FY2023 (-9.36 pp), -28.83% in FY2022 (-2.36 pp) and -26.47% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q2 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of -0.41 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 24.73 percentage points); the worst was Q3 2024 (a drop of 25.70 percentage points).
- Per Business Quant data, JOBY's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -35.15% (Q1 2026), -47.32% (Q4 2025) and -53.52% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - | -32.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.57% |
| Mar 31, 2026 | -35.15% |
| Dec 31, 2025 | -47.32% |
| Sep 30, 2025 | -53.52% |
| Jun 30, 2025 | -57.29% |
| Mar 31, 2025 | -56.02% |
| Dec 31, 2024 | -57.62% |
| Sep 30, 2024 | -58.97% |
| Jun 30, 2024 | -50.71% |
| Mar 31, 2024 | -43.97% |
| Dec 31, 2023 | -37.34% |
| Sep 30, 2023 | -33.27% |
| Jun 30, 2023 | -32.39% |
| Mar 31, 2023 | -32.44% |
| Dec 31, 2022 | -31.30% |
| Sep 30, 2022 | -28.61% |
| Jun 30, 2022 | -24.90% |
| Mar 31, 2022 | -21.40% |
| Dec 31, 2021 | -17.32% |
| Sep 30, 2021 | -20.12% |
API Access
Joby Aviation 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=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "JOBY", "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=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();