Columbia Sportswear (COLM) Enterprise Value (2010 - 2026)
Columbia Sportswear (COLM) posted Enterprise Value of $2.54 billion for Q2 2026, down 8.2% from $2.77 billion a year earlier but up 12.0% from the prior quarter.
Columbia Sportswear (COLM) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Columbia Sportswear was $977.98 million, up 6.5% year-over-year; for FY2025, it was $2.16 billion, down 43.7% from FY2024.
- Annual Enterprise Value has declined for four consecutive years, with a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's Enterprise Value was $3.83 billion in FY2024 (-4.4%), $4.01 billion in FY2023 (-20.0%), $5.01 billion in FY2022 (-8.1%) and $5.46 billion in FY2021 (+9.2%).
- Quarterly Enterprise Value has run from a low of $2.16 billion in Q4 2025 to a high of $5.68 billion in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last seven quarters, with an average decline of 21.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 10.1%; the weakest was Q4 2025, with a decline of 43.7%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $2.27 billion (Q1 2026), $2.16 billion (Q4 2025) and $2.58 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.54 Bn |
| Mar 31, 2026 | 2.27 Bn |
| Dec 31, 2025 | 2.16 Bn |
| Sep 30, 2025 | 2.58 Bn |
| Jun 30, 2025 | 2.77 Bn |
| Mar 31, 2025 | 3.49 Bn |
| Dec 31, 2024 | 3.83 Bn |
| Sep 30, 2024 | 4.39 Bn |
| Jun 30, 2024 | 3.94 Bn |
| Mar 31, 2024 | 4.04 Bn |
| Dec 31, 2023 | 4.01 Bn |
| Sep 30, 2023 | 4.27 Bn |
| Jun 30, 2023 | 4.44 Bn |
| Mar 31, 2023 | 5.14 Bn |
| Dec 31, 2022 | 5.01 Bn |
| Sep 30, 2022 | 4.02 Bn |
| Jun 30, 2022 | 4.03 Bn |
| Mar 31, 2022 | 5.09 Bn |
| Dec 31, 2021 | 5.46 Bn |
| Sep 30, 2021 | 5.68 Bn |
Columbia Sportswear Enterprise Value 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=enterprise-value&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();