Genoil (GNOLF) Interest Expenses (2009 - 2026)
Analysis
Genoil (GNOLF) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | 133.00 Mn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | -177.00 Mn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 12.40 Mn |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | 34.99 Mn |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | - |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | - |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | 134.00 Mn |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | - |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | -6.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -6.51 Mn |
| Dec 31, 2025 | 23.43 Mn |
| Sep 30, 2025 | -8.11 Mn |
| Jun 30, 2025 | -7.79 Mn |
| Mar 31, 2025 | -7.49 Mn |
| Dec 31, 2024 | 20.13 Mn |
| Sep 30, 2024 | -7.01 Mn |
| Jun 30, 2024 | -6.54 Mn |
| Mar 31, 2024 | -6.54 Mn |
| Dec 31, 2023 | 656.62 Mn |
| Sep 30, 2023 | -3.95 Mn |
| Jun 30, 2023 | -328.01 Mn |
| Mar 31, 2023 | -324.00 Mn |
| Dec 31, 2022 | 657.88 Mn |
| Sep 30, 2022 | -273.85 Mn |
| Jun 30, 2022 | -258.17 Mn |
| Mar 31, 2022 | -324.00 Mn |
| Dec 31, 2021 | 702.78 Mn |
| Sep 30, 2021 | -245.74 Mn |
| Jun 30, 2021 | -229.10 Mn |
API Access
Genoil Interest 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=interest-expenses&ticker=GNOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();