Joby Aviation (JOBY) Property, Plant & Equipment (Net) (2020 - 2026)
Joby Aviation (JOBY) posted Property, Plant & Equipment (Net) of $229.83 million for Q2 2026, up 70.2% from $135 million a year earlier and up 8.9% from the prior quarter.
Joby Aviation (JOBY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Joby Aviation's Property, Plant & Equipment (Net) came in at $146.57 million, up 21.2% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- In prior years, Joby Aviation's Property, Plant & Equipment (Net) was $120.95 million in FY2024 (+16.9%), $103.43 million in FY2023 (+12.3%), $92.1 million in FY2022 (+73.3%) and $53.16 million in FY2021 (+55.8%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 16 quarters, with growth averaging 32.6% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 11.4% (Q1 2024) and 73.3% (Q4 2022) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $211.09 million (Q1 2026), $146.57 million (Q4 2025) and $140.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - | 229.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.83 Mn |
| Mar 31, 2026 | 211.09 Mn |
| Dec 31, 2025 | 146.57 Mn |
| Sep 30, 2025 | 140.20 Mn |
| Jun 30, 2025 | 135.00 Mn |
| Mar 31, 2025 | 129.78 Mn |
| Dec 31, 2024 | 120.95 Mn |
| Sep 30, 2024 | 111.99 Mn |
| Jun 30, 2024 | 105.85 Mn |
| Mar 31, 2024 | 103.61 Mn |
| Dec 31, 2023 | 103.43 Mn |
| Sep 30, 2023 | 100.42 Mn |
| Jun 30, 2023 | 92.96 Mn |
| Mar 31, 2023 | 93.03 Mn |
| Dec 31, 2022 | 92.10 Mn |
| Sep 30, 2022 | 62.95 Mn |
| Jun 30, 2022 | 61.04 Mn |
| Mar 31, 2022 | 57.92 Mn |
| Dec 31, 2021 | 53.16 Mn |
| Sep 30, 2021 | 43.98 Mn |
Joby Aviation Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=JOBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();