Genoil (GNOLF) Exchange Rate Effect (2011 - 2017)
Genoil (GNOLF) reported Exchange Rate Effect of -$5,799 for Q3 2013, compared with $109,377 a year earlier.
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Analysis
Genoil (GNOLF) Exchange Rate Effect (2011 - 2017) Analysis & Trends
Over the twelve months ended Sep 30, 2013, Genoil's Exchange Rate Effect came in at $111,739, up 87.3% year-over-year.
- Five-year quarterly Exchange Rate Effect spans a low of -$212,153 in Q2 2011 and a high of $262,835 in Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | -8.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 18.00 Mn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | -14.00 Mn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | -1.20 Mn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | - |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 3.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | - |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 3.00 Mn |
| 10 | Genoil | 12.23 Mn | 12.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 614.00 |
| Jun 30, 2017 | -48,786.32 |
| Mar 31, 2017 | -49,705.06 |
| Sep 30, 2016 | -12,912.84 |
| Jun 30, 2016 | -50,930.22 |
| Mar 31, 2016 | 14,404.16 |
| Mar 31, 2015 | 51,613.00 |
| Mar 31, 2014 | -42,521.22 |
| Dec 31, 2013 | -53,186.18 |
| Sep 30, 2013 | 44,942.55 |
| Jun 30, 2013 | -23,782.54 |
| Mar 31, 2013 | -13,318.21 |
| Dec 31, 2012 | -6,958.41 |
| Sep 30, 2012 | 19,474.24 |
| Jun 30, 2012 | -10,537.58 |
| Mar 31, 2012 | 9,614.41 |
| Dec 31, 2011 | 15,225.08 |
| Sep 30, 2011 | -27,704.42 |
| Jun 30, 2011 | 2,438.90 |
| Mar 31, 2011 | 10,941.43 |
API Access
Genoil Exchange Rate Effect 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=exchange-rate-effect&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();