Genoil (GNOLF) Operating Expenses (2009 - 2026)
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Analysis
Genoil (GNOLF) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | 427.00 Mn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 910.00 Mn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 5.08 Bn |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 2.38 Bn |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | 668.68 Mn |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 1.08 Bn |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | 990.00 Mn |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | 797.00 Mn |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 508.80 Mn |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.64 Bn |
| Dec 31, 2025 | -507.84 Mn |
| Sep 30, 2025 | 147.01 Mn |
| Jun 30, 2025 | 213.95 Mn |
| Mar 31, 2025 | 147.51 Mn |
| Dec 31, 2024 | -457.05 Mn |
| Sep 30, 2024 | 139.19 Mn |
| Jun 30, 2024 | 182.53 Mn |
| 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 |
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();