Eco Science Solutions (ESSI) Selling, General & Administrative (2010 - 2016)
Eco Science Solutions' Selling, General & Administrative was $489,020 in fiscal Q1 2017 (quarter ended Apr 30, 2016), compared with $14,029 a year earlier and up 169.8% from the prior quarter.
Eco Science Solutions (ESSI) Selling, General & Administrative (2010 - 2016) Analysis & Trends
On a trailing twelve-month basis, Eco Science Solutions' Selling, General & Administrative was $709,069 through Apr 30, 2016, up 508.1% year-over-year; for FY2016 (ended Jan 31, 2016), it came in at $234,078, up 84.6% from FY2015.
- Selling, General & Administrative has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 37.3% (FY2011 to FY2016).
- In earlier fiscal years, Selling, General & Administrative was $126,782 in FY2015 (+42.8%), $88,753 in FY2014 (+191.9%), $30,410 in FY2013 (-38.4%) and $49,404 in FY2012 (+3.0%).
- The fiscal Q1 2017 figure marks the highest quarterly Selling, General & Administrative in data going back to fiscal Q2 2011.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last seven quarters, with growth averaging 34.4%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2012 (growth of 274.2%); the worst was fiscal Q3 2014 (a decline of 79.4%).
- Per Business Quant data, ESSI's Selling, General & Administrative in the three fiscal quarters before Q1 2017 was $181,224 (Q4 2016), $20,323 (Q3 2016) and $18,502 (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - | 376.00 Mn |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | -113.00 Mn |
| 10 | Eco Science Solutions | 3.71 Mn | 3.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 489,020.00 |
| Jan 31, 2016 | 181,224.00 |
| Oct 31, 2015 | 20,323.00 |
| Jul 31, 2015 | 18,502.00 |
| Apr 30, 2015 | 14,029.00 |
| Jan 31, 2015 | 70,041.00 |
| Oct 31, 2014 | 16,135.00 |
| Jul 31, 2014 | 16,390.00 |
| Apr 30, 2014 | 24,217.00 |
| Jan 31, 2014 | 32,753.00 |
| Oct 31, 2013 | 20,000.00 |
| Jul 31, 2013 | 18,000.00 |
| Apr 30, 2013 | 18,000.00 |
| Jan 31, 2013 | -89,713.00 |
| Oct 31, 2012 | 96,889.00 |
| Jul 31, 2012 | 12,686.00 |
| Apr 30, 2012 | 10,548.00 |
| Jan 31, 2012 | 24,093.00 |
| Oct 31, 2011 | 5,878.00 |
| Jul 31, 2011 | 8,297.00 |
Eco Science Solutions 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=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ESSI", "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=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();