Vertical Aerospace (EVTL) Property, Plant & Equipment (Net) (2020 - 2026)
Vertical Aerospace's Property, Plant & Equipment (Net) came in at $4.37 million for Q2 2026, up 16.8% from $3.74 million a year earlier and up 32.8% from the prior quarter.
Vertical Aerospace (EVTL) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Vertical Aerospace's Property, Plant & Equipment (Net) was $3.18 million, down 19.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $3.95 million in FY2024 (-16.9%), $4.75 million in FY2023 (+50.6%), $3.16 million in FY2022 (+25.0%) and $2.52 million in FY2021 (+38.2%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last seven quarters, with an average decline of 9.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2023 (growth of 113.3%), and the weakest in Q2 2024 (a decline of 99.9%).
- Business Quant data shows EVTL's Property, Plant & Equipment (Net) at $3.29 million (Q1 2026), $3.18 million (Q4 2025) and $3.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.17 Bn | 253.91 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 257.77 Bn | 227.75 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 148.82 Bn | 55.52 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 139.64 Bn | 123.87 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 94.53 Bn | 81.64 Bn | 2.18 Bn | 7.58 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.13 Bn | 1.68 Bn | 1.17 Bn |
| 7 | Northrop Grumman | 78.36 Bn | 65.81 Bn | 2.35 Bn | 10.46 Bn |
| 8 | Howmet Aerospace | 74.35 Bn | 69.95 Bn | 951.00 Mn | 2.82 Bn |
| 9 | Honeywell International | 70.09 Bn | 22.54 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Vertical Aerospace | 38.61 Mn | -217.09 Mn | 128.28 Mn | 4.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 Mn |
| Mar 31, 2026 | 3.22 Mn |
| Dec 31, 2025 | 3.22 Mn |
| Sep 30, 2025 | 3.51 Mn |
| Jun 30, 2025 | 3.85 Mn |
| Mar 31, 2025 | 3.76 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Sep 30, 2024 | 4.54 Mn |
| Jun 30, 2024 | 4.62 Mn |
| Dec 31, 2023 | 4.87 Mn |
| Sep 30, 2023 | 4.15 Mn |
| Jun 30, 2023 | 4.21 Mn |
| Dec 31, 2022 | 3.24 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Dec 31, 2021 | 2.48 Mn |
| Dec 31, 2020 | 1.94 Mn |
Vertical Aerospace 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=EVTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "EVTL", "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=EVTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();