Vertical Aerospace (EVTL) Total Liabilities (2020 - 2026)
Vertical Aerospace's Total Liabilities was $181.36 million in Q2 2026, down 48.3% from $351 million a year earlier but up 4.8% from the prior quarter.
Vertical Aerospace (EVTL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Vertical Aerospace came in at $301.44 million, down 57.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 88.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $702.17 million in FY2024 (+321.7%), $166.5 million in FY2023 (-1.4%), $168.81 million in FY2022 and -$84.38 billion in FY2021.
- Quarterly Total Liabilities has moved between -$82.67 billion (Q4 2021) and $702.17 million (Q4 2024) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last seven quarters, with growth averaging 56.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 322.6%); the worst was Q4 2025 (a decline of 57.1%).
- Per Business Quant data, EVTL's Total Liabilities in the three quarters before Q2 2026 was $173.02 million (Q1 2026), $301.44 million (Q4 2025) and $159.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | 33.81 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Vertical Aerospace | 36.81 Mn | -218.89 Mn | 128.28 Mn | 179.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.16 Mn |
| Mar 31, 2026 | 169.06 Mn |
| Dec 31, 2025 | 305.19 Mn |
| Sep 30, 2025 | 159.11 Mn |
| Jun 30, 2025 | 360.97 Mn |
| Mar 31, 2025 | 135.36 Mn |
| Dec 31, 2024 | 686.53 Mn |
| Sep 30, 2024 | 169.47 Mn |
| Jun 30, 2024 | 173.10 Mn |
| Dec 31, 2023 | 170.46 Mn |
| Sep 30, 2023 | 126.14 Mn |
| Jun 30, 2023 | 154.40 Mn |
| Dec 31, 2022 | 173.51 Mn |
| Sep 30, 2022 | 233.14 Mn |
| Jun 30, 2022 | 142.26 Mn |
| Dec 31, 2021 | 231.86 Mn |
| Dec 31, 2020 | 13.39 Mn |
Vertical Aerospace Total Liabilities 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=total-liabilities&ticker=EVTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EVTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();