Columbia Sportswear (COLM) Selling, General & Administrative (2010 - 2026)
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Analysis
Columbia Sportswear (COLM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 1.01 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 843.40 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 193.84 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.00 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 237.74 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 1.11 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 332.19 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 133.29 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 40.38 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 543.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332.19 Mn |
| Mar 31, 2026 | 357.14 Mn |
| Dec 31, 2025 | 441.52 Mn |
| Sep 30, 2025 | 380.89 Mn |
| Jun 30, 2025 | 325.63 Mn |
| Mar 31, 2025 | 354.47 Mn |
| Dec 31, 2024 | 430.64 Mn |
| Sep 30, 2024 | 361.24 Mn |
| Jun 30, 2024 | 302.75 Mn |
| Mar 31, 2024 | 349.27 Mn |
| Dec 31, 2023 | 404.82 Mn |
| Sep 30, 2023 | 351.56 Mn |
| Jun 30, 2023 | 312.53 Mn |
| Mar 31, 2023 | 347.40 Mn |
| Dec 31, 2022 | 405.09 Mn |
| Sep 30, 2022 | 318.96 Mn |
| Jun 30, 2022 | 281.26 Mn |
| Mar 31, 2022 | 299.09 Mn |
| Dec 31, 2021 | 384.05 Mn |
| Sep 30, 2021 | 280.12 Mn |
API Access
Columbia Sportswear 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=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();