Genoil (GNOLF) Debt Ratio (2009 - 2026)
Genoil's (GNOLF) Debt Ratio stood at 1761.11 in Q1 2026, compared with 2.69 a year earlier.
Powered by 
Analysis
Genoil (GNOLF) Debt Ratio (2009 - 2026) Analysis & Trends
For FY2025, Genoil's Debt Ratio came in at 43.91.
- Across earlier years, Debt Ratio came in at 1.60 in FY2024, 34.44 in FY2022 (+17.0%) and 29.44 in FY2021.
- The Q1 2026 figure is the highest quarterly Debt Ratio in data going back to Q4 2009.
- Peak year-over-year performance for Debt Ratio in the last five years was growth of 17.0% in Q4 2022, against a decline of 95.9% in Q3 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn | 0.23 |
| 2 | Baker Hughes | 48.36 Bn | 10.09 Bn | 1.96 Bn | 0.31 |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 0.27 |
| 4 | TechnipFMC | 25.53 Bn | 21.50 Bn | 728.70 Mn | 0.04 |
| 5 | Noble | 6.85 Bn | 4.92 Bn | 228.22 Mn | 0.26 |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 0.15 |
| 7 | Weatherford International | 6.09 Bn | 1.83 Bn | 374.00 Mn | 0.28 |
| 8 | Transocean | 6.03 Bn | 4.07 Bn | 348.00 Mn | 0.33 |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 0.20 |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | 1.76 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.76 |
| Dec 31, 2025 | 43.91 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 1.60 |
| Sep 30, 2023 | 0.54 |
| Jun 30, 2023 | 15.23 |
| Mar 31, 2023 | 15.90 |
| Dec 31, 2022 | 34.44 |
| Sep 30, 2022 | 13.25 |
| Jun 30, 2022 | 14.44 |
| Mar 31, 2022 | 0.02 |
| Dec 31, 2021 | 29.44 |
| Sep 30, 2021 | 0.02 |
| Jun 30, 2021 | 0.02 |
| Mar 31, 2021 | 0.02 |
| Sep 30, 2020 | 0.02 |
| Jun 30, 2020 | 1.31 |
| Mar 31, 2020 | 1.34 |
| Dec 31, 2019 | 1.46 |
API Access
Genoil Debt Ratio 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=debt-ratio&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();