Genoil (GNOLF) Exchange Rate Effect (2011 - 2013)
Genoil (GNOLF) reported Exchange Rate Effect of -$168,308 for FY2017.
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Analysis
Genoil (GNOLF) Exchange Rate Effect (2011 - 2013) Analysis & Trends
Dating back to FY2011, Genoil's Exchange Rate Effect record includes 4 years.
- The FY2017 figure ranks as the highest annual Exchange Rate Effect since FY2013.
- According to Business Quant data, Exchange Rate Effect came in at -$45,504 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | -6.00 Mn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | -6.00 Mn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | -12.00 Mn |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 400,000.00 |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | - |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | -6.00 Mn |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | -15.00 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 |
|---|---|
| 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();