Joby Aviation (JOBY) Non-Current Assets (2020 - 2026)
Joby Aviation (JOBY) reported Non-Current Assets of $435.92 million for Q2 2026, up 77.7% from $245.36 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Joby Aviation posted Non-Current Assets of $349.32 million, up 49.4% from FY2024.
- Non-Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 50.0% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $233.86 million in FY2024 (+9.4%), $213.68 million in FY2023 (+2.3%), $208.81 million in FY2022 (+23.0%) and $169.81 million in FY2021 (+268.6%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets since Q2 2021.
- Year over year, Non-Current Assets has now increased in each of the last 16 quarters, with growth averaging 36.8% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 268.6%); the low point was Q3 2021 (a decline of 78.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $416.07 million (Q1 2026), $349.32 million (Q4 2025) and $347.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - | 435.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435.92 Mn |
| Mar 31, 2026 | 416.07 Mn |
| Dec 31, 2025 | 349.32 Mn |
| Sep 30, 2025 | 347.72 Mn |
| Jun 30, 2025 | 245.36 Mn |
| Mar 31, 2025 | 242.54 Mn |
| Dec 31, 2024 | 233.86 Mn |
| Sep 30, 2024 | 226.46 Mn |
| Jun 30, 2024 | 220.15 Mn |
| Mar 31, 2024 | 212.67 Mn |
| Dec 31, 2023 | 213.68 Mn |
| Sep 30, 2023 | 211.42 Mn |
| Jun 30, 2023 | 201.95 Mn |
| Mar 31, 2023 | 205.59 Mn |
| Dec 31, 2022 | 208.81 Mn |
| Sep 30, 2022 | 169.77 Mn |
| Jun 30, 2022 | 178.78 Mn |
| Mar 31, 2022 | 180.69 Mn |
| Dec 31, 2021 | 169.81 Mn |
| Sep 30, 2021 | 149.48 Mn |
API Access
Joby Aviation Non-Current Assets 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=non-current-assets&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();