Columbia Sportswear (COLM) Other Accumulated Expenses (2010 - 2011)
Columbia Sportswear's (COLM) quarterly Other Accumulated Expenses came in at $26.8 million in Q4 2011, down 10.67% year-over-year from $30.0 million in Q4 2010, and down 10.67% quarter-over-quarter from $30.0 million in Q4 2010.
Columbia Sportswear (COLM) Other Accumulated Expenses (2010 - 2011) Analysis & Trends
Columbia Sportswear has disclosed Other Accumulated Expenses across 2 years of filings, most recently posting $26.8 million for Q4 2011.
- In Q4 2011, Other Accumulated Expenses fell 10.67% year-over-year to $26.8 million; the TTM figure through Dec 2011 stood at $26.8 million (down 10.67% YoY), while the FY2011 annual figure was $26.8 million, down 10.67% from the prior year.
- Other Accumulated Expenses came in at $26.8 million for Q4 2011 at Columbia Sportswear, down from $30.0 million in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $30.0 million in Q4 2010 to a low of $26.8 million in Q4 2011.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 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 |
Columbia Sportswear Other Accumulated 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-accumulated-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();