Genoil (GNOLF) Research & Development (2009 - 2016)
Genoil (GNOLF) posted Research & Development of $49,480 for FY2016.
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Analysis
Genoil (GNOLF) Research & Development (2009 - 2016) Analysis & Trends
Since FY2009, Genoil has reported Research & Development for 6 years.
- Annual Research & Development shows a five-year compound annual growth rate of -20.9% (FY2011 to FY2016).
- The FY2016 figure stands as the highest annual Research & Development since FY2012.
- Business Quant data shows GNOLF's Research & Development at $41,644 in FY2013 (-16.9%) and $50,130 in FY2012 (-68.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 171.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 143.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 25.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | - |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 20.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 48,084.29 |
| Jun 30, 2013 | 33,461.01 |
| Mar 31, 2013 | 1,805.29 |
| Dec 31, 2012 | 11,964.02 |
| Sep 30, 2012 | 9,962.54 |
| Jun 30, 2012 | 22,533.54 |
| Mar 31, 2012 | 5,568.71 |
| Dec 31, 2011 | 45,043.09 |
| Sep 30, 2011 | 16,474.86 |
| Jun 30, 2011 | 116,940.30 |
| Mar 31, 2011 | 6,602.59 |
| Dec 31, 2010 | 37,571.07 |
| Sep 30, 2010 | 8,751.01 |
| Jun 30, 2010 | 11,116.95 |
| Mar 31, 2010 | 8,702.37 |
| Dec 31, 2009 | 4,609.67 |
| Sep 30, 2009 | 6,617.64 |
| Jun 30, 2009 | 7,474.31 |
| Mar 31, 2009 | 6,041.04 |
API Access
Genoil Research & Development 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=research-and-development&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();