Genoil (GNOLF) Debt Ratio (2009 - 2025)
Genoil's (GNOLF) Debt Ratio stood at 34.44 in Q4 2022, up 17.0% from 29.44 a year earlier and up 159.8% from the prior quarter.
Powered by 
Analysis
Genoil (GNOLF) Debt Ratio (2009 - 2025) Analysis & Trends
Starting with Q1 2009, Genoil's Debt Ratio history includes 32 quarters.
- Across earlier years, Debt Ratio came in at 29.44 in FY2021, 1.46 in FY2019 (-3.3%) and 1.51 in FY2018 (-40.3%).
- The Q4 2022 figure is the highest quarterly Debt Ratio since Q3 2012.
- Per Business Quant, the preceding three quarters came in at 13.25 (Q3 2022), 14.44 (Q2 2022) and 16.36 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.19 Bn | 69.12 Bn | 1.40 Bn | 0.23 |
| 2 | Baker Hughes | 53.03 Bn | 16.13 Bn | 1.58 Bn | 0.31 |
| 3 | Halliburton | 27.35 Bn | 19.07 Bn | 804.00 Mn | 0.00 |
| 4 | TechnipFMC | 25.75 Bn | 21.88 Bn | 684.70 Mn | 0.04 |
| 5 | Noble | 6.78 Bn | 4.71 Bn | 239.27 Mn | 0.26 |
| 6 | Nov | 6.58 Bn | 1.32 Bn | 521.00 Mn | 0.15 |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 0.34 |
| 8 | Valaris | 6.11 Bn | 3.73 Bn | 123.70 Mn | 0.20 |
| 9 | Weatherford International | 5.77 Bn | 1.71 Bn | 333.00 Mn | 0.29 |
| 10 | Genoil | 60.55 Mn | 60.44 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 4.21 |
| Mar 31, 2025 | 2.69 |
| 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 | 16.36 |
| Dec 31, 2021 | 29.44 |
| Sep 30, 2021 | 18.70 |
| Jun 30, 2021 | 19.77 |
| Mar 31, 2021 | 23.28 |
| Sep 30, 2020 | 21.15 |
| Jun 30, 2020 | 1.31 |
| Mar 31, 2020 | 1.34 |
| Dec 31, 2019 | 1.46 |
| Dec 31, 2018 | 1.51 |
| Dec 31, 2017 | 2.53 |
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();