Rocky Brands (RCKY) Non Operating Interest Expenses (2010 - 2017)
Rocky Brands' Non Operating Interest Expenses was $108,762 in Q4 2017, down 30.9% from $157,336 a year earlier and down 1.4% from the prior quarter.
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Analysis
Rocky Brands (RCKY) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
For FY2017, Non Operating Interest Expenses at Rocky Brands came in at $389,586, down 36.8% from FY2016.
- Non Operating Interest Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -9.8% (FY2012 to FY2017).
- In earlier years, Non Operating Interest Expenses was $616,567 in FY2016 (-11.5%), $696,827 in FY2015 (-26.1%), $943,154 in FY2014 (+37.0%) and $688,502 in FY2013 (+5.8%).
- Quarterly Non Operating Interest Expenses has moved between -$252,972 (Q3 2014) and $1.64 million (Q4 2014) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for six straight quarters, with an average decline of 26.2% over the last six quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2013 (growth of 534.5%); the worst was Q4 2015 (a decline of 89.8%).
- Per Business Quant data, RCKY's Non Operating Interest Expenses in the three quarters before Q4 2017 was $110,332 (Q3 2017), $80,096 (Q2 2017) and $90,393 (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Rocky Brands | 349.98 Mn | 339.47 Mn | 60.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 108,762.00 |
| Sep 30, 2017 | 110,332.00 |
| Jun 30, 2017 | 80,096.00 |
| Mar 31, 2017 | 90,393.00 |
| Dec 31, 2016 | 157,336.00 |
| Sep 30, 2016 | 181,040.00 |
| Jun 30, 2016 | 142,215.00 |
| Mar 31, 2016 | 135,976.00 |
| Dec 31, 2015 | 167,152.00 |
| Sep 30, 2015 | 188,413.00 |
| Jun 30, 2015 | -176,186.00 |
| Mar 31, 2015 | -165,076.00 |
| Dec 31, 2014 | 1.64 Mn |
| Sep 30, 2014 | -252,972.00 |
| Jun 30, 2014 | -225,299.00 |
| Mar 31, 2014 | -218,673.00 |
| Dec 31, 2013 | 1.17 Mn |
| Sep 30, 2013 | -200,129.00 |
| Jun 30, 2013 | -147,194.00 |
| Mar 31, 2013 | -129,558.00 |
API Access
Rocky Brands Non Operating Interest 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=non-operating-interest-expenses&ticker=RCKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=RCKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();