Superior Group Of Companies (SGC) Other Operating Expenses (2010 - 2016)
Superior Group Of Companies (SGC) posted Other Operating Expenses of $44.08 million for Q4 2016, up 24.4% from $35.43 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Superior Group Of Companies (SGC) Other Operating Expenses (2010 - 2016) Analysis & Trends
For FY2016, Superior Group Of Companies' Other Operating Expenses came in at $167.57 million, up 20.2% from FY2015.
- Annual Other Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 18.4% (FY2011 to FY2016).
- In prior years, Superior Group Of Companies' Other Operating Expenses was $139.4 million in FY2015 (+8.9%), $128 million in FY2014 (+29.1%), $99.13 million in FY2013 (+22.4%) and $80.98 million in FY2012 (+12.3%).
- The Q4 2016 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 14 quarters, with growth averaging 14.8% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 0.0% (Q2 2013) and 74.4% (Q2 2014) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $42.31 million (Q3 2016), $43.09 million (Q2 2016) and $38.1 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Superior Group Of Companies | 201.71 Mn | 115.41 Mn | 56.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 44.08 Mn |
| Sep 30, 2016 | 42.31 Mn |
| Jun 30, 2016 | 43.09 Mn |
| Mar 31, 2016 | 38.10 Mn |
| Dec 31, 2015 | 35.43 Mn |
| Sep 30, 2015 | 37.57 Mn |
| Jun 30, 2015 | 35.71 Mn |
| Mar 31, 2015 | 30.69 Mn |
| Dec 31, 2014 | 32.59 Mn |
| Sep 30, 2014 | 34.00 Mn |
| Jun 30, 2014 | 34.34 Mn |
| Mar 31, 2014 | 27.07 Mn |
| Dec 31, 2013 | 30.53 Mn |
| Sep 30, 2013 | 29.24 Mn |
| Jun 30, 2013 | 19.68 Mn |
| Mar 31, 2013 | 19.68 Mn |
| Dec 31, 2012 | 21.67 Mn |
| Sep 30, 2012 | 20.57 Mn |
| Jun 30, 2012 | 19.68 Mn |
| Mar 31, 2012 | 19.06 Mn |
API Access
Superior Group Of Companies Other Operating Expenses 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=other-operating-expenses&ticker=SGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "SGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();