Joby Aviation (JOBY) Depreciation and Depletion (2021 - 2025)
Joby Aviation (JOBY) posted Depreciation and Depletion of $8.4 million for Q3 2025, up 12.0% from $7.5 million a year earlier but down 1.2% from the prior quarter.
Joby Aviation (JOBY) Depreciation and Depletion (2021 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Depreciation and Depletion at Joby Aviation was $31.6 million, up 13.3% year-over-year.
- Quarterly Depreciation and Depletion has run from a low of $3 million in Q2 2021 to a high of $8.5 million in Q2 2025 over five years.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 12.0% in Q3 2025 to 50.0% in Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 8.40 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 7.20 Mn |
| Mar 31, 2024 | 7.00 Mn |
| Sep 30, 2023 | 6.20 Mn |
| Jun 30, 2023 | 5.90 Mn |
| Mar 31, 2023 | 5.50 Mn |
| Sep 30, 2022 | 4.80 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.10 Mn |
| Sep 30, 2021 | 3.20 Mn |
| Jun 30, 2021 | 3.00 Mn |
Joby Aviation Depreciation and Depletion 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=depreciation-and-depletion&ticker=JOBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();