Columbia Sportswear (COLM) EBIT (2010 - 2026)
Columbia Sportswear (COLM) posted EBIT of $30.88 million for Q2 2026, compared with -$23.59 million a year earlier and down 26.5% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Columbia Sportswear was $257 million, down 5.8% year-over-year; for FY2025, it was $207.04 million, down 23.5% from FY2024.
- Annual EBIT has declined for four consecutive years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's EBIT was $270.74 million in FY2024 (-12.7%), $310.28 million in FY2023 (-21.1%), $393.1 million in FY2022 (-12.7%) and $450.5 million in FY2021 (+228.7%).
- Quarterly EBIT has run from a low of -$23.8 million in Q2 2024 to a high of $211.57 million in Q4 2021 over five years.
- On a year-over-year basis, EBIT increased in two of the last six quarters, with an average decline of 9.3%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2021, with growth of 71.0%; the weakest was Q2 2022, with a decline of 74.9%.
- According to Business Quant data, EBIT for the three prior quarters was $41.99 million (Q1 2026), $116.74 million (Q4 2025) and $67.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 236.02 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 30.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.88 Mn |
| Mar 31, 2026 | 41.99 Mn |
| Dec 31, 2025 | 116.74 Mn |
| Sep 30, 2025 | 67.39 Mn |
| Jun 30, 2025 | -23.59 Mn |
| Mar 31, 2025 | 46.51 Mn |
| Dec 31, 2024 | 137.32 Mn |
| Sep 30, 2024 | 112.54 Mn |
| Jun 30, 2024 | -23.80 Mn |
| Mar 31, 2024 | 44.68 Mn |
| Dec 31, 2023 | 113.07 Mn |
| Sep 30, 2023 | 134.55 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 56.43 Mn |
| Dec 31, 2022 | 155.40 Mn |
| Sep 30, 2022 | 145.26 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 83.67 Mn |
| Dec 31, 2021 | 211.57 Mn |
| Sep 30, 2021 | 133.46 Mn |
API Access
Columbia Sportswear EBIT 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=ebit&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();