Genoil (GNOLF) Operating Expenses (2009 - 2025)
Genoil's Operating Expenses came in at $117.63 million for Q4 2025, down 92.4% from $1.55 billion a year earlier and down 20.0% from the prior quarter.
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Analysis
Genoil (GNOLF) Operating Expenses (2009 - 2025) Analysis & Trends
For FY2025, Genoil's Operating Expenses was $626.09 million, down 68.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -30.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.01 billion in FY2024, $3.66 million in FY2023 (+113.1%), $1.72 million in FY2022 (+46.5%) and $1.17 million in FY2021 (-100.0%).
- The five-year range for quarterly Operating Expenses is -$2.49 billion (Q4 2023) to $2.2 billion (Q1 2023).
- Year-over-year, Operating Expenses increased in three of the last seven quarters, with an average decline of 36.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2021 (growth of 609.5%), and the weakest in Q2 2024 (a decline of 99.9%).
- Business Quant data shows GNOLF's Operating Expenses at $147.01 million (Q3 2025), $213,951 (Q2 2025) and $147.51 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - | 117.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 117.63 Mn |
| Sep 30, 2025 | 147.01 Mn |
| Jun 30, 2025 | 213,951.00 |
| Mar 31, 2025 | 147.51 Mn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | 139.19 Mn |
| Jun 30, 2024 | 182,533.00 |
| Mar 31, 2024 | 137.34 Mn |
| Dec 31, 2023 | -2.49 Bn |
| Sep 30, 2023 | 140.89 Mn |
| Jun 30, 2023 | 156.12 Mn |
| Mar 31, 2023 | 2.20 Bn |
| Dec 31, 2022 | -1.57 Bn |
| Sep 30, 2022 | 157.84 Mn |
| Jun 30, 2022 | 169.55 Mn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | -1.07 Bn |
| Sep 30, 2021 | 161.02 Mn |
| Jun 30, 2021 | 723.69 Mn |
| Mar 31, 2021 | 182.41 Mn |
API Access
Genoil 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=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GNOLF", "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=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();