Genoil (GNOLF) EBITDA (2011 - 2017)
Genoil (GNOLF) posted EBITDA of -$167.72 million for Q3 2017, compared with -$103.27 million a year earlier.
Analysis
Genoil (GNOLF) EBITDA (2011 - 2017) Analysis & Trends
For the trailing twelve months through Sep 30, 2017, EBITDA at Genoil was -$1.56 billion; for FY2016, it was -$839.93 million.
- In prior years, Genoil's EBITDA was -$374.64 million in FY2015, -$247.09 million in FY2014, $1.49 billion in FY2013 (-46.1%) and $2.77 billion in FY2012 (-42.7%).
- Quarterly EBITDA has run from a low of -$671.96 million in Q1 2017 to a high of $863.76 million in Q4 2012 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$358.81 million (Q2 2017), -$671.96 million (Q1 2017) and -$358.6 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.79 Bn | 72.24 Bn | 1.57 Bn | 1.84 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 1.98 Bn |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 920.00 Mn |
| 4 | TechnipFMC | 25.53 Bn | 21.49 Bn | 728.70 Mn | 627.30 Mn |
| 5 | Noble | 6.84 Bn | 4.91 Bn | 228.22 Mn | 203.52 Mn |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 235.00 Mn |
| 7 | Weatherford International | 6.20 Bn | 1.98 Bn | 374.00 Mn | 223.00 Mn |
| 8 | Transocean | 6.01 Bn | 4.06 Bn | 348.00 Mn | 298.00 Mn |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 128.60 Mn |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -482.46 Mn |
| Jun 30, 2013 | 490.79 Mn |
| Mar 31, 2013 | 512.35 Mn |
| Dec 31, 2012 | 863.76 Mn |
| Sep 30, 2012 | 748.38 Mn |
| Jun 30, 2012 | 584.91 Mn |
| Mar 31, 2012 | 574.09 Mn |
| Dec 31, 2011 | 1.39 Bn |
| Sep 30, 2011 | 1.12 Bn |
| Jun 30, 2011 | 867.65 Mn |
| Mar 31, 2011 | 1.44 Bn |
API Access
Genoil EBITDA 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=ebitda&ticker=GNOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();