Genoil (GNOLF) Research & Development (2009 - 2013)
Genoil (GNOLF) posted Research & Development of $49,846 for FY2016.
Analysis
Genoil (GNOLF) Research & Development (2009 - 2013) Analysis & Trends
Since FY2009, Genoil has reported Research & Development for 6 years.
- Annual Research & Development shows a five-year compound annual growth rate of -20.8% (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 | 75.79 Bn | 72.24 Bn | 1.57 Bn | 156.00 Mn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 150.00 Mn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 30.10 Mn |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | - |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | - |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | 23.00 Mn |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | - |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| 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_KEY
import 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();