Verde Clean Fuels (VGAS) Total Liabilities (2020 - 2026)
Verde Clean Fuels' Total Liabilities was $2.08 million in Q2 2026, down 30.3% from $2.98 million a year earlier but up 32.1% from the prior quarter.
Verde Clean Fuels (VGAS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Verde Clean Fuels came in at $2.11 million, down 26.9% from FY2024.
- Total Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 64.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.89 million in FY2024 (-6.9%), $3.1 million in FY2023 (-41.0%), $5.25 million in FY2022 (-97.1%) and $181.74 million in FY2021.
- Quarterly Total Liabilities has moved between $1.57 million (Q1 2026) and $181.74 million (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 17.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 14.4%); the worst was Q3 2023 (a decline of 97.8%).
- Per Business Quant data, VGAS's Total Liabilities in the three quarters before Q2 2026 was $1.57 million (Q1 2026), $2.11 million (Q4 2025) and $3.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn | 1.61 Bn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn | 84.86 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn | 787.13 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - | 206.18 Mn |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn | 467.13 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn | 217.55 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn | 1.00 Bn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn | 611.29 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - | 2.08 Mn |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 5.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 3.55 Mn |
| Dec 31, 2024 | 2.89 Mn |
| Sep 30, 2024 | 3.62 Mn |
| Jun 30, 2024 | 3.45 Mn |
| Mar 31, 2024 | 3.10 Mn |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 3.82 Mn |
| Jun 30, 2023 | 9.08 Mn |
| Mar 31, 2023 | 9.28 Mn |
| Dec 31, 2022 | 5.25 Mn |
| Sep 30, 2022 | 173.28 Mn |
| Jun 30, 2022 | 178.69 Mn |
| Mar 31, 2022 | 180.93 Mn |
| Dec 31, 2021 | 181.74 Mn |
| Sep 30, 2021 | 180.31 Mn |
Verde Clean Fuels 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=VGAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VGAS", "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=VGAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();