Genoil (GNOLF) Debt Ratio (2009 - 2022)
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 - 2022) 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 | 72.31 Bn | 69.42 Bn | 1.40 Bn | 0.23 |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 0.31 |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 0.04 |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 0.00 |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 0.15 |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 0.26 |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 0.34 |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 0.29 |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 0.20 |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2020 | 1.34 |
| Dec 31, 2019 | 1.46 |
| Dec 31, 2018 | 1.51 |
| Dec 31, 2017 | 2.53 |
| Sep 30, 2017 | 6.57 |
| Jun 30, 2017 | 6.01 |
| Mar 31, 2017 | 3.82 |
| Sep 30, 2016 | 3.39 |
| Mar 31, 2016 | 3.76 |
| Dec 31, 2015 | 3.90 |
| Sep 30, 2015 | 4.01 |
| Mar 31, 2015 | 5.17 |
| Dec 31, 2014 | 5.80 |
| Dec 31, 2013 | 4.85 |
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();