Joby Aviation (JOBY) Other Non-Current Liabilities (2020 - 2026)
Joby Aviation's Other Non-Current Liabilities came in at $95.57 million for Q2 2026, down 40.0% from $159.2 million a year earlier but up 9.9% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Joby Aviation's Other Non-Current Liabilities was $156.69 million, up 33.5% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 159.9% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $117.42 million in FY2024 (+22.3%), $95.97 million in FY2023 (+117.8%), $44.06 million in FY2022 (-59.9%) and $109.84 million in FY2021.
- The five-year range for quarterly Other Non-Current Liabilities is $44.06 million (Q4 2022) to $200.93 million (Q3 2025).
- Year-over-year, Other Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 43.2%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2025 (growth of 214.3%), and the weakest in Q4 2022 (a decline of 59.9%).
- Business Quant data shows JOBY's Other Non-Current Liabilities at $86.94 million (Q1 2026), $156.69 million (Q4 2025) and $200.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.57 Mn |
| Mar 31, 2026 | 86.94 Mn |
| Dec 31, 2025 | 156.69 Mn |
| Sep 30, 2025 | 200.93 Mn |
| Jun 30, 2025 | 159.20 Mn |
| Mar 31, 2025 | 80.63 Mn |
| Dec 31, 2024 | 117.42 Mn |
| Sep 30, 2024 | 63.92 Mn |
| Jun 30, 2024 | 69.28 Mn |
| Mar 31, 2024 | 72.98 Mn |
| Dec 31, 2023 | 95.97 Mn |
| Sep 30, 2023 | 94.60 Mn |
| Jun 30, 2023 | 161.25 Mn |
| Mar 31, 2023 | 57.09 Mn |
| Dec 31, 2022 | 44.06 Mn |
| Sep 30, 2022 | 58.50 Mn |
| Jun 30, 2022 | 64.01 Mn |
| Mar 31, 2022 | 47.49 Mn |
| Dec 31, 2021 | 109.84 Mn |
| Sep 30, 2021 | 64.77 Mn |
API Access
Joby Aviation Other Non-Current Liabilities 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-non-current-liabilities&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();