Rocky Brands (RCKY) Selling, General & Administrative (2010 - 2017)
Rocky Brands' Selling, General & Administrative came in at $19.63 million for Q4 2017, down 1.6% from $19.95 million a year earlier but up 22.5% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Selling, General & Administrative (2010 - 2017) Analysis & Trends
For FY2017, Rocky Brands' Selling, General & Administrative was $68.94 million, down 8.8% from FY2016.
- Selling, General & Administrative has declined in each of the last three years, though with a five-year compound annual growth rate of 0.7% (FY2012 to FY2017).
- Going back by year, Selling, General & Administrative was $75.63 million in FY2016 (-3.5%), $78.4 million in FY2015 (-2.7%), $80.6 million in FY2014 (+13.0%) and $71.35 million in FY2013 (+7.0%).
- The five-year range for quarterly Selling, General & Administrative is $15.9 million (Q2 2017) to $20.68 million (Q4 2014).
- Year-over-year, Selling, General & Administrative has declined for 12 consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2014 (growth of 19.5%), and the weakest in Q2 2017 (a decline of 15.4%).
- Business Quant data shows RCKY's Selling, General & Administrative at $16.03 million (Q3 2017), $15.9 million (Q2 2017) and $17.38 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 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 19.63 Mn |
| Sep 30, 2017 | 16.03 Mn |
| Jun 30, 2017 | 15.90 Mn |
| Mar 31, 2017 | 17.38 Mn |
| Dec 31, 2016 | 19.95 Mn |
| Sep 30, 2016 | 17.75 Mn |
| Jun 30, 2016 | 18.81 Mn |
| Mar 31, 2016 | 19.13 Mn |
| Dec 31, 2015 | 20.22 Mn |
| Sep 30, 2015 | 19.22 Mn |
| Jun 30, 2015 | 19.40 Mn |
| Mar 31, 2015 | 19.57 Mn |
| Dec 31, 2014 | 20.68 Mn |
| Sep 30, 2014 | 19.36 Mn |
| Jun 30, 2014 | 20.04 Mn |
| Mar 31, 2014 | 20.52 Mn |
| Dec 31, 2013 | 18.40 Mn |
| Sep 30, 2013 | 18.34 Mn |
| Jun 30, 2013 | 17.44 Mn |
| Mar 31, 2013 | 17.16 Mn |
API Access
Rocky Brands 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=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RCKY", "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=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();