Columbia Sportswear (COLM) Return on Sales [ROS] (2010 - 2026)
Columbia Sportswear's Return on Sales [ROS] came in at 5.03% for Q2 2026, up 8.92 percentage points from -3.90% a year earlier but down 0.36 percentage points from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbia Sportswear reported Return on Sales [ROS] of 7.54%, down 0.45 percentage points year-over-year; for FY2025, it was 6.09%, down 1.94 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +0.62 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 8.04% in FY2024 (-0.86 pp), 8.90% in FY2023 (-2.45 pp), 11.35% in FY2022 (-3.06 pp) and 14.41% in FY2021 (+8.93 pp).
- The five-year range for quarterly Return on Sales [ROS] is -4.17% (Q2 2024) to 18.73% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.32 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 8.92 percentage points), and the weakest in Q4 2022 (a drop of 5.44 percentage points).
- Business Quant data shows COLM's Return on Sales [ROS] at 5.39% (Q1 2026), 10.91% (Q4 2025) and 7.14% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 28.22% |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 5.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.03% |
| Mar 31, 2026 | 5.39% |
| Dec 31, 2025 | 10.91% |
| Sep 30, 2025 | 7.14% |
| Jun 30, 2025 | -3.90% |
| Mar 31, 2025 | 5.97% |
| Dec 31, 2024 | 12.52% |
| Sep 30, 2024 | 12.08% |
| Jun 30, 2024 | -4.17% |
| Mar 31, 2024 | 5.80% |
| Dec 31, 2023 | 10.67% |
| Sep 30, 2023 | 13.65% |
| Jun 30, 2023 | 1.00% |
| Mar 31, 2023 | 6.88% |
| Dec 31, 2022 | 13.29% |
| Sep 30, 2022 | 15.21% |
| Jun 30, 2022 | 1.52% |
| Mar 31, 2022 | 10.99% |
| Dec 31, 2021 | 18.73% |
| Sep 30, 2021 | 16.59% |
API Access
Columbia Sportswear Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();