Genoil (GNOLF) Return on Sales [ROS] (2009 - 2020)
Genoil (GNOLF) recorded Return on Sales [ROS] of -135226.63% in Q2 2020, down 118032.48 percentage points from -17194.15% a year earlier.
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Analysis
Genoil (GNOLF) Return on Sales [ROS] (2009 - 2020) Analysis & Trends
For FY2009, Genoil reported Return on Sales [ROS] of -5174.32%.
- The Q2 2020 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn | 12.05% |
| 2 | Baker Hughes | 48.44 Bn | 10.16 Bn | 1.96 Bn | 18.69% |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | 10.94% |
| 4 | TechnipFMC | 25.53 Bn | 21.50 Bn | 728.70 Mn | 18.18% |
| 5 | Noble | 6.85 Bn | 4.92 Bn | 228.22 Mn | 8.24% |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 6.38% |
| 7 | Weatherford International | 6.10 Bn | 1.84 Bn | 374.00 Mn | 13.39% |
| 8 | Transocean | 6.09 Bn | 4.13 Bn | 348.00 Mn | 15.26% |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | 13.70% |
| 10 | Genoil | 40.37 Mn | 40.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | -135,226.63% |
| Sep 30, 2019 | -3,490.08% |
| Jun 30, 2019 | 5,674.47% |
| Jun 30, 2013 | 20,758.61% |
| Mar 31, 2013 | 20,968.77% |
| Dec 31, 2012 | 31,870.23% |
| Sep 30, 2012 | 16,852.80% |
| Jun 30, 2012 | 13,434.21% |
| Mar 31, 2012 | 12,722.15% |
| Dec 31, 2011 | 31,113.99% |
| Sep 30, 2011 | 21,575.60% |
| Jun 30, 2011 | 16,162.92% |
| Mar 31, 2011 | 26,145.49% |
| Mar 31, 2010 | 45,216.66% |
| Mar 31, 2009 | 32,451.54% |
API Access
Genoil Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GNOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();