Everest (EG) Selling, General & Administrative (2009 - 2016)
Everest (EG) posted Selling, General & Administrative of $6.4 million for Q3 2016, up 8.0% from $5.92 million a year earlier but down 10.1% from the prior quarter.
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Analysis
Everest (EG) Selling, General & Administrative (2009 - 2016) Analysis & Trends
For the trailing twelve months through Sep 30, 2016, Selling, General & Administrative at Everest was $27.35 million, up 24.7% year-over-year; for FY2015, it was $23.25 million, down 0.7% from FY2014.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 9.3% (FY2010 to FY2015).
- In prior years, Everest's Selling, General & Administrative was $23.42 million in FY2014 (-5.6%), $24.82 million in FY2013 (+3.5%), $23.98 million in FY2012 (+45.7%) and $16.46 million in FY2011 (+10.4%).
- Quarterly Selling, General & Administrative has run from a low of $3.9 million in Q2 2014 to a high of $9.96 million in Q3 2014 over five years.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last four quarters, with growth averaging 9.9% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2014, with growth of 109.3%; the weakest was Q4 2014, with a decline of 43.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $7.12 million (Q2 2016), $7.89 million (Q1 2016) and $5.94 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Everest | 14.29 Bn | -2.71 Bn | 1.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 6.40 Mn |
| Jun 30, 2016 | 7.12 Mn |
| Mar 31, 2016 | 7.89 Mn |
| Dec 31, 2015 | 5.94 Mn |
| Sep 30, 2015 | 5.92 Mn |
| Jun 30, 2015 | 5.93 Mn |
| Mar 31, 2015 | 5.46 Mn |
| Dec 31, 2014 | 4.62 Mn |
| Sep 30, 2014 | 9.96 Mn |
| Jun 30, 2014 | 3.90 Mn |
| Mar 31, 2014 | 4.95 Mn |
| Dec 31, 2013 | 8.17 Mn |
| Sep 30, 2013 | 4.76 Mn |
| Jun 30, 2013 | 6.17 Mn |
| Mar 31, 2013 | 5.72 Mn |
| Dec 31, 2012 | 7.29 Mn |
| Sep 30, 2012 | 5.95 Mn |
| Jun 30, 2012 | 6.08 Mn |
| Mar 31, 2012 | 4.66 Mn |
| Dec 31, 2011 | 4.54 Mn |
API Access
Everest 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=EG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EG", "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=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();