Genoil (GNOLF) Capital Expenditures (2009 - 2014)
Genoil's Capital Expenditures came in at -$1,804 for Q1 2014, compared with -$1,974 a year earlier.
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Analysis
Genoil (GNOLF) Capital Expenditures (2009 - 2014) Analysis & Trends
For FY2013, Genoil's Capital Expenditures was -$1,931.
- Going back by year, Capital Expenditures was -$37,673 in FY2012, -$210,664 in FY2011, -$4,296 in FY2010 and -$1,470 in FY2009.
- The five-year range for quarterly Capital Expenditures is -$115,752 (Q4 2011) to $57,658 (Q3 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.19 Bn | 69.12 Bn | 1.40 Bn | 459.00 Mn |
| 2 | Baker Hughes | 53.03 Bn | 16.13 Bn | 1.58 Bn | 300.00 Mn |
| 3 | Halliburton | 27.35 Bn | 19.07 Bn | 804.00 Mn | 235.00 Mn |
| 4 | TechnipFMC | 25.75 Bn | 21.88 Bn | 684.70 Mn | 60.10 Mn |
| 5 | Noble | 6.78 Bn | 4.71 Bn | 239.27 Mn | 204.53 Mn |
| 6 | Nov | 6.58 Bn | 1.32 Bn | 521.00 Mn | 81.00 Mn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 24.00 Mn |
| 8 | Valaris | 6.11 Bn | 3.73 Bn | 123.70 Mn | 105.50 Mn |
| 9 | Weatherford International | 5.77 Bn | 1.71 Bn | 333.00 Mn | 42.00 Mn |
| 10 | Genoil | 60.55 Mn | 60.44 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | -1,804.02 |
| Dec 31, 2013 | 0.95 |
| Mar 31, 2013 | -1,974.10 |
| Dec 31, 2012 | -72,931.60 |
| Sep 30, 2012 | 57,657.61 |
| Mar 31, 2012 | -22,775.18 |
| Dec 31, 2011 | -115,751.82 |
| Sep 30, 2011 | -57,506.14 |
| Mar 31, 2011 | -33,968.33 |
| Sep 30, 2010 | -4,257.61 |
| Sep 30, 2009 | 1,330.82 |
| Jun 30, 2009 | -1,428.94 |
| Mar 31, 2009 | -1,175.54 |
API Access
Genoil Capital Expenditures 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=capital-expenditures&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();