Columbia Sportswear (COLM) Non Operating Interest Expenses (2014 - 2017)
Columbia Sportswear's (COLM) quarterly Non Operating Interest Expenses came in at $180000.0 in Q2 2017, down 31.3% year-over-year from $262000.0 in Q2 2016, and down 27.71% quarter-over-quarter from $249000.0 in Q1 2017.
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Analysis
Columbia Sportswear (COLM) Non Operating Interest Expenses (2014 - 2017) Analysis & Trends
Columbia Sportswear has disclosed Non Operating Interest Expenses across 4 years of filings, most recently posting $180000.0 for Q2 2017.
- In Q2 2017, Non Operating Interest Expenses fell 31.3% year-over-year to $180000.0; the TTM figure through Mar 2018 stood at $180000.0 (down 82.46% YoY), while the FY2017 annual figure was $429000.0, down 58.79% from the prior year.
- Non Operating Interest Expenses came in at $180000.0 for Q2 2017 at Columbia Sportswear, down from $249000.0 in the prior quarter.
- In the past five years, Non Operating Interest Expenses ranged from a high of $284000.0 in Q4 2014 to a low of $180000.0 in Q2 2017.
- Average Non Operating Interest Expenses over 4 years is $258714.3, with a median of $268000.0 recorded in 2015.
- Year-over-year, Non Operating Interest Expenses surged 30.48% in 2015 and sank 31.3% in 2017.
- Over 4 years, Non Operating Interest Expenses stood at $284000.0 in 2014, then slipped by 4.23% to $272000.0 in 2015, then fell by 3.68% to $262000.0 in 2016, then sank by 31.3% to $180000.0 in 2017.
- Per Business Quant data, the three most recent Non Operating Interest Expenses figures were $180000.0 in Q2 2017, $249000.0 in Q1 2017, and $262000.0 in Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | - |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 12.90 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 69.29 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 30.42 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 15.67 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 22.30 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | - |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | - |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | - |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 180,000.00 |
| Mar 31, 2017 | 249,000.00 |
| Dec 31, 2016 | 262,000.00 |
| Sep 30, 2016 | 253,000.00 |
| Jun 30, 2016 | 262,000.00 |
| Mar 31, 2016 | 264,000.00 |
| Dec 31, 2015 | 272,000.00 |
| Sep 30, 2015 | 275,000.00 |
| Jun 30, 2015 | 278,000.00 |
| Mar 31, 2015 | 274,000.00 |
| Dec 31, 2014 | 284,000.00 |
| Sep 30, 2014 | 282,000.00 |
| Jun 30, 2014 | 277,000.00 |
| Mar 31, 2014 | 210,000.00 |
API Access
Columbia Sportswear 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=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "COLM", "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=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();