Columbia Sportswear (COLM) Income Taxes Paid (2010 - 2026)
Columbia Sportswear's Income Taxes Paid came in at $6.59 million for Q3 2026, up 14.7% from $5.75 million a year earlier but down 67.1% from the prior quarter.
Columbia Sportswear (COLM) Income Taxes Paid (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Columbia Sportswear reported Income Taxes Paid of $54.17 million, down 40.3% year-over-year; for FY2025, it was $86.39 million, up 13.5% from FY2024.
- Income Taxes Paid carries a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- Going back by year, Income Taxes Paid was $76.1 million in FY2024 (-15.9%), $90.51 million in FY2023 (-1.7%), $92.11 million in FY2022 (-28.9%) and $129.48 million in FY2021 (+781.6%).
- The five-year range for quarterly Income Taxes Paid is $5.45 million (Q3 2023) to $41.77 million (Q4 2021).
- Year-over-year, Income Taxes Paid increased in four of the last eight quarters, with an average decline of 13.2%.
- The fastest year-over-year change in Income Taxes Paid over five years came in Q1 2023 (growth of 69.0%), and the weakest in Q3 2022 (a decline of 70.6%).
- Business Quant data shows COLM's Income Taxes Paid at $20.01 million (Q2 2026), $19.52 million (Q1 2026) and $8.06 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 58.76 Bn | 24.96 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.30 Bn | 23.25 Bn | 1.56 Bn | 46.80 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.92 Bn | 1.63 Bn | - |
| 4 | Lululemon Athletica | 12.65 Bn | 6.91 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.09 Bn | 5.28 Bn | 895.11 Mn | 76.94 Mn |
| 6 | Levi Strauss | 9.29 Bn | 5.87 Bn | 1.07 Bn | 37.80 Mn |
| 7 | V F | 8.18 Bn | 4.77 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.59 Bn | 7.00 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 7.13 Bn | 5.45 Bn | 493.89 Mn | 90.02 Mn |
| 10 | Columbia Sportswear | 3.65 Bn | 1.47 Bn | 479.02 Mn | 6.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.59 Mn |
| Jun 30, 2026 | 20.01 Mn |
| Mar 31, 2026 | 19.52 Mn |
| Dec 31, 2025 | 8.06 Mn |
| Sep 30, 2025 | 5.75 Mn |
| Jun 30, 2025 | 36.76 Mn |
| Mar 31, 2025 | 35.83 Mn |
| Dec 31, 2024 | 12.45 Mn |
| Sep 30, 2024 | 5.50 Mn |
| Jun 30, 2024 | 29.08 Mn |
| Mar 31, 2024 | 29.07 Mn |
| Dec 31, 2023 | 23.93 Mn |
| Sep 30, 2023 | 5.45 Mn |
| Jun 30, 2023 | 30.36 Mn |
| Mar 31, 2023 | 30.78 Mn |
| Dec 31, 2022 | 32.53 Mn |
| Sep 30, 2022 | 11.74 Mn |
| Jun 30, 2022 | 29.64 Mn |
| Mar 31, 2022 | 18.21 Mn |
| Dec 31, 2021 | 41.77 Mn |
Columbia Sportswear Income Taxes Paid 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=income-taxes-paid&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();