Columbia Sportswear (COLM) Revenue (2010 - 2026)
Columbia Sportswear (COLM) recorded Revenue of $614.36 million in Q2 2026, up 1.5% from $605.25 million a year earlier but down 21.1% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Columbia Sportswear's Revenue came in at $3.41 billion as of Jun 30, 2026, down 0.1% year-over-year; for FY2025, it was $3.4 billion, up 0.9% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $3.37 billion in FY2024 (-3.4%), $3.49 billion in FY2023 (+0.7%), $3.46 billion in FY2022 (+10.8%) and $3.13 billion in FY2021 (+25.0%).
- Quarterly Revenue has ranged from $570.24 million in Q2 2024 to $1.17 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Revenue rose in six of the last eight quarters, with growth averaging 0.7%.
- Peak year-over-year performance for Revenue in the last five years was growth of 23.4% in Q4 2021, against a decline of 9.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $779.01 million (Q1 2026), $1.07 billion (Q4 2025) and $943.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.55 Bn | 21.75 Bn | 4.80 Bn | 11.21 Bn |
| 2 | Tapestry | 23.91 Bn | 19.87 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 12.58 Bn | 5.45 Bn | - | - |
| 5 | Lululemon Athletica | 11.05 Bn | 5.30 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 8.03 Bn | 4.61 Bn | 1.07 Bn | 1.61 Bn |
| 7 | V F | 6.72 Bn | 3.34 Bn | 917.04 Mn | 1.67 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 1.58 Bn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 836.35 Mn |
| 10 | Columbia Sportswear | 3.09 Bn | 902.36 Mn | 358.43 Mn | 614.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 614.36 Mn |
| Mar 31, 2026 | 779.01 Mn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 943.43 Mn |
| Jun 30, 2025 | 605.25 Mn |
| Mar 31, 2025 | 778.45 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 931.77 Mn |
| Jun 30, 2024 | 570.24 Mn |
| Mar 31, 2024 | 769.98 Mn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 985.68 Mn |
| Jun 30, 2023 | 620.93 Mn |
| Mar 31, 2023 | 820.59 Mn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 955.06 Mn |
| Jun 30, 2022 | 578.06 Mn |
| Mar 31, 2022 | 761.51 Mn |
| Dec 31, 2021 | 1.13 Bn |
| Sep 30, 2021 | 804.71 Mn |
API Access
Columbia Sportswear 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=revenue&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();