Genoil (GNOLF) Price to Earnings (2009 - 2013)
Genoil's Price to Earnings came in at 0.17 for Q3 2016.
Powered by 
Analysis
Genoil (GNOLF) Price to Earnings (2009 - 2013) Analysis & Trends
For FY2015, Genoil's Price to Earnings was 0.02.
- Going back by year, Price to Earnings was 0.69 in FY2013 (-75.3%), 2.77 in FY2012 (-83.6%) and 16.92 in FY2011.
- The Q3 2016 figure represents the highest quarterly Price to Earnings since Q1 2011.
- Over the past five years, the year-over-year decline in Price to Earnings ranged from 23.1% (Q1 2014) to 71.1% (Q4 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn |
| 2 | Baker Hughes | 48.44 Bn | 10.16 Bn | 1.96 Bn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.53 Bn | 21.50 Bn | 728.70 Mn |
| 5 | Noble | 6.85 Bn | 4.92 Bn | 228.22 Mn |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.10 Bn | 1.84 Bn | 374.00 Mn |
| 8 | Transocean | 6.09 Bn | 4.13 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 | 0.02 |
| Mar 31, 2013 | 0.05 |
| Dec 31, 2012 | 0.05 |
| Sep 30, 2012 | 0.07 |
| Jun 30, 2012 | 0.06 |
| Mar 31, 2012 | 0.09 |
| Dec 31, 2011 | 0.10 |
| Sep 30, 2011 | 0.10 |
| Jun 30, 2011 | 0.16 |
| Mar 31, 2011 | 0.20 |
| Dec 31, 2010 | 0.34 |
| Sep 30, 2010 | 0.15 |
| Jun 30, 2010 | 0.20 |
| Mar 31, 2010 | 0.17 |
| Dec 31, 2009 | 0.15 |
| Sep 30, 2009 | 0.21 |
| Jun 30, 2009 | 0.22 |
| Mar 31, 2009 | 0.39 |
API Access
Genoil Price to Earnings 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=price-to-earnings&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();