Verde Clean Fuels (VGAS) Operating Expenses (2021 - 2026)
Verde Clean Fuels' Operating Expenses came in at $2.52 million for Q2 2026, down 22.1% from $3.24 million a year earlier and down 11.6% from the prior quarter.
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Analysis
Verde Clean Fuels (VGAS) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Verde Clean Fuels reported Operating Expenses of $11.48 million, down 4.7% year-over-year; for FY2025, it came in at $12.52 million, up 7.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 384.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $11.66 million in FY2024 (-1.6%), $11.84 million in FY2023 (+145.1%), $4.83 million in FY2022 (+957.8%) and $456,765 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 226.5%), and the weakest in Q1 2024 (a decline of 33.9%).
- Business Quant data shows VGAS's Operating Expenses at $2.85 million (Q1 2026), $3.22 million (Q4 2025) and $2.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.67 Bn | 1.75 Bn | -1.68 Mn | 62.43 Mn |
| 2 | Rex American Resources | 1.41 Bn | 56.79 Mn | 53.30 Mn | 15.62 Mn |
| 3 | Green Plains | 1.03 Bn | 431.73 Mn | 113.03 Mn | 378.35 Mn |
| 4 | Montauk Renewables | 421.14 Mn | 348.92 Mn | - | 54.10 Mn |
| 5 | Clean Energy Fuels | 345.96 Mn | -309.83 Mn | 30.14 Mn | 111.49 Mn |
| 6 | Gevo | 328.83 Mn | 45.80 Mn | 19.80 Mn | 191.51 Mn |
| 7 | OPAL Fuels | 309.32 Mn | 41.92 Mn | 24.47 Mn | 86.41 Mn |
| 8 | Aemetis | 131.85 Mn | 115.60 Mn | 13.52 Mn | 7.74 Mn |
| 9 | Verde Clean Fuels | 50.34 Mn | -148.13 Mn | - | 2.52 Mn |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | 731,106.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Mn |
| Mar 31, 2026 | 2.85 Mn |
| Dec 31, 2025 | 3.22 Mn |
| Sep 30, 2025 | 2.88 Mn |
| Jun 30, 2025 | 3.24 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 3.16 Mn |
| Mar 31, 2024 | 2.88 Mn |
| Dec 31, 2023 | 2.36 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 2.54 Mn |
| Mar 31, 2023 | 4.35 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 940,252.00 |
| Jun 30, 2022 | 1.22 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 383,119.00 |
| Sep 30, 2021 | 68,294.00 |
API Access
Verde Clean Fuels Operating Expenses 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=operating-expenses&ticker=VGAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VGAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();