Joby Aviation (JOBY) Return on Assets [ROA] (2021 - 2026)
Joby Aviation (JOBY) recorded Return on Assets [ROA] of -30.92% in Q2 2026, up 37.10 percentage points from -68.03% a year earlier and up 9.62 percentage points from the prior quarter.
Joby Aviation (JOBY) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Joby Aviation reported Return on Assets [ROA] of -62.02%, down 12.84 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for four straight years, with a four-year change of -43.86 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -49.18% in FY2024 (-9.13 pp), -40.04% in FY2023 (-21.49 pp), -18.56% in FY2022 (-0.39 pp) and -18.16% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Assets [ROA] since Q2 2024.
- On a year-over-year basis, Return on Assets [ROA] rose in two of the last eight quarters, with an average year-over-year change of -8.47 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 37.10 percentage points in Q2 2026, against a drop of 38.46 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -40.54% (Q1 2026), -58.83% (Q4 2025) and -80.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 7.01% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 4.72% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.48% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 10.33% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 14.22% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.53% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 11.17% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.92% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 10.86% |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - | -30.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.92% |
| Mar 31, 2026 | -40.54% |
| Dec 31, 2025 | -58.83% |
| Sep 30, 2025 | -80.31% |
| Jun 30, 2025 | -68.03% |
| Mar 31, 2025 | -52.10% |
| Dec 31, 2024 | -56.10% |
| Sep 30, 2024 | -46.70% |
| Jun 30, 2024 | -29.57% |
| Mar 31, 2024 | -40.62% |
| Dec 31, 2023 | -39.18% |
| Sep 30, 2023 | -33.49% |
| Jun 30, 2023 | -41.25% |
| Mar 31, 2023 | -24.61% |
| Dec 31, 2022 | -20.11% |
| Sep 30, 2022 | -14.15% |
| Jun 30, 2022 | -13.36% |
| Mar 31, 2022 | -9.42% |
| Dec 31, 2021 | -5.04% |
| Sep 30, 2021 | -10.35% |
Joby Aviation Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=JOBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();