Columbia Sportswear (COLM) Gross Margin (2010 - 2026)
Columbia Sportswear's Gross Margin came in at 58.34% for Q2 2026, up 9.25 percentage points from 49.09% a year earlier and up 7.64 percentage points from the prior quarter.
Columbia Sportswear (COLM) Gross Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbia Sportswear reported Gross Margin of 52.16%, up 1.71 percentage points year-over-year; for FY2025, it came in at 50.53%, up 0.33 percentage points from FY2024.
- Gross Margin has increased in each of the last three years, with a five-year change of +1.61 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 50.20% in FY2024 (+0.59 pp), 49.61% in FY2023 (+0.21 pp), 49.39% in FY2022 (-2.18 pp) and 51.58% in FY2021 (+2.65 pp).
- The Q2 2026 figure represents the highest quarterly Gross Margin in data going back to Q2 2010.
- Year-over-year, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +1.60 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in Q2 2026 (a gain of 9.25 percentage points), and the weakest in Q3 2022 (a drop of 2.74 percentage points).
- Business Quant data shows COLM's Gross Margin at 50.70% (Q1 2026), 51.55% (Q4 2025) and 50.01% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.24 Bn | 22.44 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 23.68 Bn | 19.63 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 22.51 Bn | 14.60 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - | - |
| 5 | Lululemon Athletica | 11.15 Bn | 5.41 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.98 Bn | 4.56 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 54.93% |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 29.05% |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 59.05% |
| 10 | Columbia Sportswear | 3.11 Bn | 918.48 Mn | 358.43 Mn | 58.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.34% |
| Mar 31, 2026 | 50.70% |
| Dec 31, 2025 | 51.55% |
| Sep 30, 2025 | 50.01% |
| Jun 30, 2025 | 49.09% |
| Mar 31, 2025 | 50.88% |
| Dec 31, 2024 | 51.12% |
| Sep 30, 2024 | 50.18% |
| Jun 30, 2024 | 47.95% |
| Mar 31, 2024 | 50.59% |
| Dec 31, 2023 | 50.58% |
| Sep 30, 2023 | 48.72% |
| Jun 30, 2023 | 50.58% |
| Mar 31, 2023 | 48.68% |
| Dec 31, 2022 | 50.45% |
| Sep 30, 2022 | 48.01% |
| Jun 30, 2022 | 49.16% |
| Mar 31, 2022 | 49.70% |
| Dec 31, 2021 | 52.24% |
| Sep 30, 2021 | 50.75% |
Columbia Sportswear Gross Margin 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=gross-margin&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();