Columbia Sportswear (COLM) EBT (2010 - 2026)
Columbia Sportswear (COLM) recorded EBT of $36.29 million in Q2 2026, compared with -$16.59 million a year earlier and down 23.2% from the prior quarter.
Columbia Sportswear (COLM) EBT (2010 - 2026) Analysis & Trends
On a TTM basis, Columbia Sportswear's EBT came in at $274.9 million as of Jun 30, 2026, down 7.5% year-over-year; for FY2025, it came in at $229.62 million, down 23.0% from FY2024.
- Annual EBT has declined for four straight years, though with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier years, EBT came in at $298.19 million in FY2024 (-8.6%), $326.19 million in FY2023 (-17.9%), $397.41 million in FY2022 (-12.0%) and $451.51 million in FY2021 (+223.6%).
- Quarterly EBT has ranged from -$16.59 million in Q2 2025 to $211.9 million in Q4 2021 over the past five years.
- On a year-over-year basis, EBT rose in two of the last six quarters, with an average decline of 10.5%.
- Peak year-over-year performance for EBT in the last five years was growth of 72.0% in Q4 2021, against a decline of 77.8% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.27 million (Q1 2026), $120.35 million (Q4 2025) and $70.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 921.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 220.10 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -106.89 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 106.61 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 186.03 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 36.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.29 Mn |
| Mar 31, 2026 | 47.27 Mn |
| Dec 31, 2025 | 120.35 Mn |
| Sep 30, 2025 | 70.99 Mn |
| Jun 30, 2025 | -16.59 Mn |
| Mar 31, 2025 | 54.88 Mn |
| Dec 31, 2024 | 139.83 Mn |
| Sep 30, 2024 | 119.19 Mn |
| Jun 30, 2024 | -14.98 Mn |
| Mar 31, 2024 | 54.15 Mn |
| Dec 31, 2023 | 119.97 Mn |
| Sep 30, 2023 | 136.11 Mn |
| Jun 30, 2023 | 9.55 Mn |
| Mar 31, 2023 | 60.56 Mn |
| Dec 31, 2022 | 159.71 Mn |
| Sep 30, 2022 | 145.76 Mn |
| Jun 30, 2022 | 7.84 Mn |
| Mar 31, 2022 | 84.11 Mn |
| Dec 31, 2021 | 211.90 Mn |
| Sep 30, 2021 | 133.86 Mn |
Columbia Sportswear EBT 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=ebt&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();