Columbia Sportswear (COLM) Net Income (2010 - 2026)
Columbia Sportswear (COLM) reported Net Income of $26.55 million for Q2 2026, compared with -$10.2 million a year earlier and down 22.6% from the prior quarter.
Columbia Sportswear (COLM) Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbia Sportswear's Net Income came in at $206.03 million, down 8.3% year-over-year; for FY2025, it was $177.22 million, down 20.6% from FY2024.
- Net Income has declined for four consecutive years, though with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- By year, Net Income came in at $223.27 million in FY2024 (-11.2%), $251.4 million in FY2023 (-19.3%), $311.44 million in FY2022 (-12.0%) and $354.11 million in FY2021 (+227.8%).
- Five-year quarterly Net Income spans a low of -$11.74 million in Q2 2024 and a high of $156.96 million in Q4 2021.
- Year over year, Net Income gained in 1 of the last six quarters, with an average decline of 12.2%.
- The high point for year-over-year Net Income in five years was Q4 2021 (growth of 63.9%); the low point was Q2 2022 (a decline of 82.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.31 million (Q1 2026), $93.17 million (Q4 2025) and $52.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 712.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 168.60 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -97.15 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | -49.95 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 127.38 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 26.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.55 Mn |
| Mar 31, 2026 | 34.31 Mn |
| Dec 31, 2025 | 93.17 Mn |
| Sep 30, 2025 | 52.01 Mn |
| Jun 30, 2025 | -10.20 Mn |
| Mar 31, 2025 | 42.25 Mn |
| Dec 31, 2024 | 102.56 Mn |
| Sep 30, 2024 | 90.16 Mn |
| Jun 30, 2024 | -11.74 Mn |
| Mar 31, 2024 | 42.30 Mn |
| Dec 31, 2023 | 93.34 Mn |
| Sep 30, 2023 | 103.51 Mn |
| Jun 30, 2023 | 8.35 Mn |
| Mar 31, 2023 | 46.20 Mn |
| Dec 31, 2022 | 125.69 Mn |
| Sep 30, 2022 | 111.75 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 66.84 Mn |
| Dec 31, 2021 | 156.96 Mn |
| Sep 30, 2021 | 100.56 Mn |
Columbia Sportswear Net Income 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=net-income&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();