Columbia Sportswear (COLM) Goodwill & Intangibles (2010 - 2026)
Columbia Sportswear's (COLM) quarterly Goodwill & Intangibles came in at $76.9 million in Q2 2026, down 27.38% year-over-year from $105.9 million in Q2 2025, and little changed quarter-over-quarter from $76.9 million in Q1 2026.
Columbia Sportswear (COLM) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
Columbia Sportswear has disclosed Goodwill & Intangibles across 17 years of filings, most recently posting $76.9 million for Q2 2026.
- In Q2 2026, Goodwill & Intangibles fell 27.38% year-over-year to $76.9 million; the TTM figure through Jun 2026 stood at $76.9 million (down 27.38% YoY), while the FY2025 annual figure was $76.9 million, down 27.38% from the prior year.
- Goodwill & Intangibles came in at $76.9 million for Q2 2026 at Columbia Sportswear, roughly flat from $76.9 million in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $170.1 million in Q1 2022 to a low of $76.9 million in Q3 2025.
- Average Goodwill & Intangibles over 5 years is $116.1 million, with a median of $106.1 million recorded in 2024.
- The largest YoY upside for Goodwill & Intangibles was 0.0% in 2025 against a maximum downside of 27.38% in 2025.
- Over 5 years, Goodwill & Intangibles stood at $133.3 million in 2022, then declined by 20.0% to $106.6 million in 2023, then slipped by 0.64% to $105.9 million in 2024, then slipped by 27.38% to $76.9 million in 2025, then changed by 0.0% to $76.9 million in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $76.9 million in Q2 2026, $76.9 million in Q1 2026, and $76.9 million in Q4 2025.
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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.92 Mn |
| Mar 31, 2026 | 76.92 Mn |
| Dec 31, 2025 | 76.92 Mn |
| Sep 30, 2025 | 76.92 Mn |
| Jun 30, 2025 | 105.92 Mn |
| Mar 31, 2025 | 105.92 Mn |
| Dec 31, 2024 | 105.92 Mn |
| Sep 30, 2024 | 105.92 Mn |
| Jun 30, 2024 | 105.92 Mn |
| Mar 31, 2024 | 106.19 Mn |
| Dec 31, 2023 | 106.60 Mn |
| Sep 30, 2023 | 132.02 Mn |
| Jun 30, 2023 | 132.43 Mn |
| Mar 31, 2023 | 132.84 Mn |
| Dec 31, 2022 | 133.25 Mn |
| Sep 30, 2022 | 169.27 Mn |
| Jun 30, 2022 | 169.68 Mn |
| Mar 31, 2022 | 170.09 Mn |
| Dec 31, 2021 | 170.50 Mn |
| Sep 30, 2021 | 170.92 Mn |
Columbia Sportswear Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();