Genoil (GNOLF) Selling, General & Administrative (2009 - 2017)
Genoil's Selling, General & Administrative was $63,145 in Q3 2017, up 23.3% from $51,226 a year earlier and up 33.4% from the prior quarter.
Genoil (GNOLF) Selling, General & Administrative (2009 - 2017) Analysis & Trends
On a trailing twelve-month basis, Genoil's Selling, General & Administrative was $436,279 through Sep 30, 2017, up 29.9% year-over-year; for FY2016, it came in at $490,481, up 115.8% from FY2015.
- Selling, General & Administrative shows a five-year compound annual growth rate of -27.6% (FY2011 to FY2016).
- In earlier years, Selling, General & Administrative was $227,304 in FY2015 (+70.4%), $133,422 in FY2014 (-86.8%), $1.01 million in FY2013 (-55.4%) and $2.26 million in FY2012 (-8.1%).
- Quarterly Selling, General & Administrative has moved between -$144,654 (Q4 2014) and $751,834 (Q4 2012) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last six quarters, with growth averaging 36.0%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2016 (growth of 177.4%); the worst was Q1 2014 (a decline of 73.8%).
- Per Business Quant data, GNOLF's Selling, General & Administrative in the three quarters before Q3 2017 was $47,323 (Q2 2017), $83,509 (Q1 2017) and $242,302 (Q4 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn | 27.20 Mn |
| 10 | Genoil | 6.11 Mn | 6.01 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 63,145.01 |
| Jun 30, 2017 | 47,322.68 |
| Mar 31, 2017 | 83,508.76 |
| Dec 31, 2016 | 242,302.11 |
| Sep 30, 2016 | 51,225.60 |
| Jun 30, 2016 | 78,753.58 |
| Mar 31, 2016 | 118,577.31 |
| Dec 31, 2015 | 87,347.29 |
| Sep 30, 2015 | 37,225.43 |
| Mar 31, 2015 | 80,580.81 |
| Dec 31, 2014 | -144,654.08 |
| Sep 30, 2014 | 119,279.23 |
| Mar 31, 2014 | 65,629.44 |
| Jun 30, 2013 | 382,814.65 |
| Mar 31, 2013 | 250,647.92 |
| Dec 31, 2012 | 751,834.16 |
| Sep 30, 2012 | 636,279.04 |
| Jun 30, 2012 | 462,372.42 |
| Mar 31, 2012 | 413,594.44 |
| Dec 31, 2011 | 578,213.89 |
Genoil Selling, General & Administrative 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=selling-general-and-administrative&ticker=GNOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GNOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();