Joby Aviation (JOBY) Tax Provisions (2020 - 2026)
Joby Aviation (JOBY) posted Tax Provisions of $142,000 for Q2 2026, up 34.0% from $106,000 a year earlier but down 15.5% from the prior quarter.
Joby Aviation (JOBY) Tax Provisions (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Joby Aviation was $1.47 million, up 542.4% year-over-year; for FY2025, it was $1.31 million, up 913.2% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 111.3% (FY2020 to FY2025).
- In prior years, Joby Aviation's Tax Provisions was $129,000 in FY2024 (-7.2%), $139,000 in FY2023 (+51.1%), $92,000 in FY2022 and -$10.54 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$10.55 million in Q4 2021 to a high of $1.08 million in Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last five quarters, with growth averaging 248.0%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 960.0%; the weakest was Q3 2025, with a decline of 85.0%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $168,000 (Q1 2026), $1.08 million (Q4 2025) and $83,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Joby Aviation | 5.97 Bn | 5.97 Bn | - | 142,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142,000.00 |
| Mar 31, 2026 | 168,000.00 |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 83,000.00 |
| Jun 30, 2025 | 106,000.00 |
| Mar 31, 2025 | 40,000.00 |
| Dec 31, 2024 | -470,000.00 |
| Sep 30, 2024 | 553,000.00 |
| Jun 30, 2024 | 10,000.00 |
| Mar 31, 2024 | 36,000.00 |
| Dec 31, 2023 | 21,000.00 |
| Sep 30, 2023 | 28,000.00 |
| Jun 30, 2023 | 56,000.00 |
| Mar 31, 2023 | 34,000.00 |
| Dec 31, 2022 | 57,000.00 |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 25,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | -10.55 Mn |
| Jun 30, 2021 | 5,000.00 |
Joby Aviation Tax Provisions 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=tax-provisions&ticker=JOBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();