Columbia Sportswear (COLM) EBITDA (2010 - 2026)
Columbia Sportswear (COLM) recorded EBITDA of $44.7 million in Q2 2026, compared with -$9.13 million a year earlier and down 19.7% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Columbia Sportswear's EBITDA came in at $313.41 million as of Jun 30, 2026, down 4.3% year-over-year; for FY2025, it came in at $263.87 million, down 19.2% from FY2024.
- Annual EBITDA has declined for four straight years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $326.69 million in FY2024 (-11.3%), $368.35 million in FY2023 (-17.8%), $447.86 million in FY2022 (-20.9%) and $566.08 million in FY2021 (+99.6%).
- Quarterly EBITDA has ranged from -$9.73 million in Q2 2024 to $242.63 million in Q4 2021 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last six quarters, with an average decline of 8.9%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 44.4% in Q4 2021, against a decline of 90.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.68 million (Q1 2026), $131.42 million (Q4 2025) and $81.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -25.29 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 244.22 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 44.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.70 Mn |
| Mar 31, 2026 | 55.68 Mn |
| Dec 31, 2025 | 131.42 Mn |
| Sep 30, 2025 | 81.60 Mn |
| Jun 30, 2025 | -9.13 Mn |
| Mar 31, 2025 | 59.97 Mn |
| Dec 31, 2024 | 151.08 Mn |
| Sep 30, 2024 | 125.59 Mn |
| Jun 30, 2024 | -9.73 Mn |
| Mar 31, 2024 | 59.75 Mn |
| Dec 31, 2023 | 128.85 Mn |
| Sep 30, 2023 | 148.87 Mn |
| Jun 30, 2023 | 3.62 Mn |
| Mar 31, 2023 | 87.01 Mn |
| Dec 31, 2022 | 123.59 Mn |
| Sep 30, 2022 | 173.29 Mn |
| Jun 30, 2022 | 36.73 Mn |
| Mar 31, 2022 | 114.24 Mn |
| Dec 31, 2021 | 242.63 Mn |
| Sep 30, 2021 | 159.43 Mn |
API Access
Columbia Sportswear EBITDA 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=ebitda&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();