Joby Aviation (JOBY) Other Operating Expenses (2021 - 2026)
Joby Aviation (JOBY) recorded Other Operating Expenses of $28.3 million in Q2 2026, compared with $10,000 a year earlier and up 50.5% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Joby Aviation's Other Operating Expenses came in at $76.42 million as of Jun 30, 2026; for FY2025, it came in at $29.33 million.
- Across earlier years, Other Operating Expenses came in at $67,000 in FY2024 (-66.5%) and $200,000 in FY2023.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q4 2021.
- Per Business Quant, the preceding three quarters came in at $18.8 million (Q1 2026), $19.26 million (Q4 2025) and $10.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.30 Mn |
| Mar 31, 2026 | 18.80 Mn |
| Dec 31, 2025 | 19.26 Mn |
| Sep 30, 2025 | 10.06 Mn |
| Jun 30, 2025 | 10,000.00 |
| Dec 31, 2024 | 22,000.00 |
| Sep 30, 2024 | 15,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 15,000.00 |
| Dec 31, 2023 | 200,000.00 |
| Dec 31, 2021 | -100,000.00 |
API Access
Joby Aviation Other Operating Expenses 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=other-operating-expenses&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();