Columbia Sportswear (COLM) Cost of Revenue (2010 - 2026)
Columbia Sportswear (COLM) reported Cost of Revenue of $483.56 million for Q3 2026, up 2.5% from $471.61 million a year earlier and up 88.9% from the prior quarter.
Columbia Sportswear (COLM) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Columbia Sportswear's Cost of Revenue came in at $1.64 billion, down 3.3% 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%).
- Five-year quarterly Cost of Revenue spans a low of $255.93 million in Q2 2026 and a high of $579.54 million in Q4 2022.
- Year over year, Cost of Revenue gained in six of the last eight quarters, with an average decline of 1.1%.
- 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 Q3 2026 came in at $255.93 million (Q2 2026), $384.05 million (Q1 2026) and $518.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 565.40 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 953.75 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 585.44 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 543.90 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 1.20 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 352.85 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 342.46 Mn |
| 10 | Columbia Sportswear | 3.69 Bn | 1.50 Bn | 479.02 Mn | 483.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 483.56 Mn |
| 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 |
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();