Vertical Aerospace (EVTL) Exchange Rate Effect (2021 - 2024)
Vertical Aerospace (EVTL) recorded Exchange Rate Effect of -$1.51 million in FY2025, compared with -$423,556 in FY2024.
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Analysis
Vertical Aerospace (EVTL) Exchange Rate Effect (2021 - 2024) Analysis & Trends
Starting with FY2021, Vertical Aerospace's Exchange Rate Effect history includes 5 years.
- The FY2025 figure is the lowest annual Exchange Rate Effect since FY2021.
- Per Business Quant data, EVTL's Exchange Rate Effect was -$423,556 in FY2024, -$1.36 million in FY2023, $11.36 million in FY2022 and -$2.74 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | -60.00 Mn |
| 10 | Vertical Aerospace | 68.07 Mn | 68.07 Mn | 128.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 499,282.22 |
| Sep 30, 2024 | -726,308.79 |
| Dec 31, 2023 | -248,230.38 |
| Sep 30, 2023 | -51,934.08 |
| Dec 31, 2022 | -1.92 Mn |
| Sep 30, 2022 | 3.01 Mn |
| Dec 31, 2021 | -2.75 Mn |
| Sep 30, 2021 | -23.56 Mn |
API Access
Vertical Aerospace Exchange Rate Effect 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=exchange-rate-effect&ticker=EVTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=EVTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();