Vertical Aerospace (EVTL) Shares Outstanding (Diluted) (2020 - 2026)
Vertical Aerospace's Shares Outstanding (Diluted) was 127.18 million in Q2 2026, up 526.0% from 20.32 million a year earlier and unchanged from the prior quarter.
Vertical Aerospace (EVTL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
From Q4 2020 onward, Vertical Aerospace has reported Shares Outstanding (Diluted) for 19 quarters.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 66.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 20.32 million in FY2024 (+6.2%), 19.13 million in FY2023 (+6.6%), 17.95 million in FY2022 (+44.6%) and 12.41 million in FY2021 (+24.2%).
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for nine straight quarters, with growth averaging 201.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 6.2% (Q4 2024) to 526.0% (Q2 2026).
- Per Business Quant data, EVTL's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 127.18 million (Q1 2026), 127.18 million (Q4 2025) and 20.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 318.60 Mn |
| 10 | Vertical Aerospace | 61.98 Mn | 61.98 Mn | 128.28 Mn | 127.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.18 Mn |
| Mar 31, 2026 | 127.18 Mn |
| Dec 31, 2025 | 127.18 Mn |
| Sep 30, 2025 | 20.32 Mn |
| Jun 30, 2025 | 20.32 Mn |
| Mar 31, 2025 | 20.32 Mn |
| Dec 31, 2024 | 20.32 Mn |
| Sep 30, 2024 | 19.13 Mn |
| Jun 30, 2024 | 19.13 Mn |
| Mar 31, 2024 | 19.13 Mn |
| Dec 31, 2023 | 19.13 Mn |
| Sep 30, 2023 | 17.95 Mn |
| Jun 30, 2023 | 17.95 Mn |
| Dec 31, 2022 | 17.95 Mn |
| Sep 30, 2022 | 12.41 Mn |
| Jun 30, 2022 | 12.41 Mn |
| Dec 31, 2021 | 12.41 Mn |
| Sep 30, 2021 | 9.99 Mn |
| Dec 31, 2020 | 9.99 Mn |
Vertical Aerospace Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=EVTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=EVTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();