Joby Aviation (JOBY) Other Accumulated Expenses (2021 - 2026)
Joby Aviation (JOBY) reported Other Accumulated Expenses of $111.56 million for Q2 2026, up 128.5% from $48.82 million a year earlier and up 15.1% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Joby Aviation posted Other Accumulated Expenses of $48.02 million, up 23.6% from FY2024.
- Other Accumulated Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 47.3% (FY2021 to FY2025).
- By year, Other Accumulated Expenses came in at $38.84 million in FY2024 (+2.7%), $37.82 million in FY2023 (+101.3%), $18.78 million in FY2022 (+83.9%) and $10.21 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2021.
- Year over year, Other Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 52.7% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q1 2026 (growth of 160.7%); the low point was Q3 2024 (a decline of 12.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $96.96 million (Q1 2026), $48.02 million (Q4 2025) and $52.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.56 Mn |
| Mar 31, 2026 | 96.96 Mn |
| Dec 31, 2025 | 48.02 Mn |
| Sep 30, 2025 | 52.97 Mn |
| Jun 30, 2025 | 48.82 Mn |
| Mar 31, 2025 | 37.20 Mn |
| Dec 31, 2024 | 38.84 Mn |
| Sep 30, 2024 | 35.98 Mn |
| Jun 30, 2024 | 33.14 Mn |
| Mar 31, 2024 | 30.02 Mn |
| Dec 31, 2023 | 37.82 Mn |
| Sep 30, 2023 | 41.15 Mn |
| Jun 30, 2023 | 36.23 Mn |
| Mar 31, 2023 | 22.84 Mn |
| Dec 31, 2022 | 18.78 Mn |
| Sep 30, 2022 | 24.50 Mn |
| Jun 30, 2022 | 28.10 Mn |
| Mar 31, 2022 | 15.50 Mn |
| Dec 31, 2021 | 10.21 Mn |
API Access
Joby Aviation Other Accumulated 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-accumulated-expenses&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();