Columbia Sportswear (COLM) Cost of Revenue (2010 - 2026)
Columbia Sportswear (COLM) reported Cost of Revenue of $255.93 million for Q2 2026, down 16.9% from $308.14 million a year earlier and down 33.4% from the prior quarter.
Columbia Sportswear (COLM) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbia Sportswear's Cost of Revenue came in at $1.63 billion, down 3.6% year-over-year; for FY2025, it was $1.68 billion, up 0.2% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.68 billion in FY2024 (-4.5%), $1.76 billion in FY2023 (+0.2%), $1.75 billion in FY2022 (+15.8%) and $1.51 billion in FY2021 (+18.5%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q2 2020.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 25.9%); the low point was Q2 2026 (a decline of 16.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $384.05 million (Q1 2026), $518.49 million (Q4 2025) and $471.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 543.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 752.34 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 1.12 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 342.46 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 255.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 255.93 Mn |
| Mar 31, 2026 | 384.05 Mn |
| Dec 31, 2025 | 518.49 Mn |
| Sep 30, 2025 | 471.61 Mn |
| Jun 30, 2025 | 308.14 Mn |
| Mar 31, 2025 | 382.40 Mn |
| Dec 31, 2024 | 536.04 Mn |
| Sep 30, 2024 | 464.21 Mn |
| Jun 30, 2024 | 296.83 Mn |
| Mar 31, 2024 | 380.42 Mn |
| Dec 31, 2023 | 523.80 Mn |
| Sep 30, 2023 | 505.49 Mn |
| Jun 30, 2023 | 306.89 Mn |
| Mar 31, 2023 | 421.09 Mn |
| Dec 31, 2022 | 579.54 Mn |
| Sep 30, 2022 | 496.56 Mn |
| Jun 30, 2022 | 293.90 Mn |
| Mar 31, 2022 | 383.06 Mn |
| Dec 31, 2021 | 539.54 Mn |
| Sep 30, 2021 | 396.35 Mn |
Columbia Sportswear Cost of Revenue 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=cost-of-revenue&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();