Genoil (GNOLF) Other Non-Current Liabilities (2011 - 2017)
Genoil (GNOLF) recorded Other Non-Current Liabilities of $220,139 in Q4 2025, up 2.7% from $214,375 a year earlier and up 2.7% from the prior quarter.
Analysis
Genoil (GNOLF) Other Non-Current Liabilities (2011 - 2017) Analysis & Trends
Starting with Q4 2011, Genoil's Other Non-Current Liabilities history includes 30 quarters.
- Across earlier years, Other Non-Current Liabilities came in at $214,375 in FY2024 (+3.0%) and $208,232 in FY2023.
- The Q4 2025 figure is the highest quarterly Other Non-Current Liabilities since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.30 Bn | 69.23 Bn | 1.40 Bn |
| 2 | Baker Hughes | 52.97 Bn | 16.07 Bn | 1.58 Bn |
| 3 | Halliburton | 27.45 Bn | 19.17 Bn | 804.00 Mn |
| 4 | TechnipFMC | 25.97 Bn | 22.11 Bn | 684.70 Mn |
| 5 | Noble | 6.86 Bn | 4.79 Bn | 239.27 Mn |
| 6 | Nov | 6.71 Bn | 1.45 Bn | 521.00 Mn |
| 7 | Transocean | 6.70 Bn | 4.41 Bn | 358.00 Mn |
| 8 | Valaris | 6.29 Bn | 3.91 Bn | 123.70 Mn |
| 9 | Weatherford International | 5.84 Bn | 1.77 Bn | 333.00 Mn |
| 10 | Genoil | 15.29 Mn | 15.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 203,152.00 |
| Sep 30, 2017 | 911,723.71 |
| Jun 30, 2017 | 955,323.02 |
| Mar 31, 2017 | 1.09 Mn |
| Dec 31, 2016 | 863,799.76 |
| Sep 30, 2016 | 643,737.07 |
| Mar 31, 2016 | 1.09 Mn |
| Dec 31, 2015 | 426,930.50 |
| Sep 30, 2015 | 416,146.51 |
| Mar 31, 2015 | 452,762.08 |
| Dec 31, 2014 | 542,542.74 |
| Dec 31, 2013 | 247,807.42 |
| Sep 30, 2013 | 151,003.68 |
| Jun 30, 2013 | 92,576.83 |
| Mar 31, 2013 | 312,391.96 |
| Dec 31, 2012 | 283,159.70 |
| Sep 30, 2012 | 442.43 Bn |
| Jun 30, 2012 | 364.42 Bn |
| Mar 31, 2012 | 536.19 Bn |
| Dec 31, 2011 | 767.72 Bn |
API Access
Genoil Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=GNOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();