Joby Aviation (JOBY) Total Current Liabilities (2020 - 2026)
Joby Aviation (JOBY) reported Total Current Liabilities of $128.86 million for Q2 2026, up 118.8% from $58.9 million a year earlier and up 13.2% from the prior quarter.
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Analysis
Joby Aviation (JOBY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Joby Aviation posted Total Current Liabilities of $60.03 million, up 24.7% from FY2024.
- Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 49.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $48.13 million in FY2024 (+6.6%), $45.14 million in FY2023 (+49.4%), $30.2 million in FY2022 (+118.1%) and $13.85 million in FY2021 (+73.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q3 2020.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 50.7% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 622.6%); the low point was Q3 2024 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $113.88 million (Q1 2026), $60.03 million (Q4 2025) and $74.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - | 128.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.86 Mn |
| Mar 31, 2026 | 113.88 Mn |
| Dec 31, 2025 | 60.03 Mn |
| Sep 30, 2025 | 74.86 Mn |
| Jun 30, 2025 | 58.90 Mn |
| Mar 31, 2025 | 47.50 Mn |
| Dec 31, 2024 | 48.13 Mn |
| Sep 30, 2024 | 45.77 Mn |
| Jun 30, 2024 | 43.16 Mn |
| Mar 31, 2024 | 38.24 Mn |
| Dec 31, 2023 | 45.14 Mn |
| Sep 30, 2023 | 49.97 Mn |
| Jun 30, 2023 | 44.09 Mn |
| Mar 31, 2023 | 30.32 Mn |
| Dec 31, 2022 | 30.20 Mn |
| Sep 30, 2022 | 28.80 Mn |
| Jun 30, 2022 | 30.01 Mn |
| Mar 31, 2022 | 18.16 Mn |
| Dec 31, 2021 | 13.85 Mn |
| Sep 30, 2021 | 7.60 Mn |
API Access
Joby Aviation Total 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=total-current-liabilities&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();