Evergy (EVRG) Selling, General & Administrative (2010 - 2017)
Evergy's Selling, General & Administrative came in at $67.2 million for Q4 2017, down 2.2% from $68.69 million a year earlier but up 2.4% from the prior quarter.
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Analysis
Evergy (EVRG) Selling, General & Administrative (2010 - 2017) Analysis & Trends
For FY2017, Evergy's Selling, General & Administrative was $249.57 million, down 4.5% from FY2016.
- Selling, General & Administrative carries a five-year compound annual growth rate of 2.0% (FY2012 to FY2017).
- Going back by year, Selling, General & Administrative was $261.45 million in FY2016 (+4.5%), $250.28 million in FY2015 (-0.1%), $250.44 million in FY2014 (+11.7%) and $224.13 million in FY2013 (-0.8%).
- The five-year range for quarterly Selling, General & Administrative is $30.78 million (Q1 2013) to $75.72 million (Q2 2016).
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2014 (growth of 83.5%), and the weakest in Q1 2013 (a decline of 35.0%).
- Business Quant data shows EVRG's Selling, General & Administrative at $65.63 million (Q3 2017), $57.58 million (Q2 2017) and $59.16 million (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 181.60 Bn | 168.35 Bn | - | - |
| 2 | Southern | 104.77 Bn | 95.83 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 99.63 Bn | 95.89 Bn | 5.66 Bn | - |
| 4 | National Grid | 82.14 Bn | 54.44 Bn | - | - |
| 5 | American Electric Power | 68.86 Bn | 66.65 Bn | 4.75 Bn | - |
| 6 | Dominion Energy | 60.31 Bn | 58.30 Bn | - | - |
| 7 | Entergy | 51.91 Bn | 38.35 Bn | - | - |
| 8 | Sempra | 51.13 Bn | 50.25 Bn | 2.89 Bn | - |
| 9 | Xcel Energy | 50.13 Bn | 43.61 Bn | - | - |
| 10 | Evergy | 20.22 Bn | 20.13 Bn | 1.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 67.20 Mn |
| Sep 30, 2017 | 65.63 Mn |
| Jun 30, 2017 | 57.58 Mn |
| Mar 31, 2017 | 59.16 Mn |
| Dec 31, 2016 | 68.69 Mn |
| Sep 30, 2016 | 60.58 Mn |
| Jun 30, 2016 | 75.72 Mn |
| Mar 31, 2016 | 56.46 Mn |
| Dec 31, 2015 | 70.71 Mn |
| Sep 30, 2015 | 60.49 Mn |
| Jun 30, 2015 | 63.66 Mn |
| Mar 31, 2015 | 55.42 Mn |
| Dec 31, 2014 | 70.81 Mn |
| Sep 30, 2014 | 60.98 Mn |
| Jun 30, 2014 | 62.17 Mn |
| Mar 31, 2014 | 56.49 Mn |
| Dec 31, 2013 | 66.47 Mn |
| Sep 30, 2013 | 54.25 Mn |
| Jun 30, 2013 | 54.48 Mn |
| Mar 31, 2013 | 30.78 Mn |
API Access
Evergy 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=EVRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EVRG", "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=EVRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();