Columbia Sportswear (COLM) Tax Provisions (2010 - 2026)
Columbia Sportswear (COLM) recorded Tax Provisions of $26.83 million in Q3 2026, up 41.3% from $18.98 million a year earlier and up 175.7% from the prior quarter.
Powered by 
Analysis
Columbia Sportswear (COLM) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Columbia Sportswear's Tax Provisions came in at $76.71 million as of Sep 30, 2026, up 22.7% year-over-year; for FY2025, it came in at $52.4 million, down 30.1% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $74.91 million in FY2024 (+0.2%), $74.79 million in FY2023 (-13.0%), $85.97 million in FY2022 (-11.7%) and $97.4 million in FY2021 (+209.1%).
- Quarterly Tax Provisions has ranged from -$6.39 million in Q2 2025 to $54.94 million in Q4 2021 over the past five years.
- On a year-over-year basis, Tax Provisions rose in four of the last six quarters, with growth averaging 4.8%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 100.0% in Q4 2021, against a decline of 38.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.73 million (Q2 2026), $12.97 million (Q1 2026) and $27.18 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 209.00 Mn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 72.60 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 138.13 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 90.32 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 51.50 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 61.68 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 60.68 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 58.65 Mn |
| 10 | Columbia Sportswear | 3.59 Bn | 1.41 Bn | 479.02 Mn | 26.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.83 Mn |
| Jun 30, 2026 | 9.73 Mn |
| Mar 31, 2026 | 12.97 Mn |
| Dec 31, 2025 | 27.18 Mn |
| Sep 30, 2025 | 18.98 Mn |
| Jun 30, 2025 | -6.39 Mn |
| Mar 31, 2025 | 12.63 Mn |
| Dec 31, 2024 | 37.28 Mn |
| Sep 30, 2024 | 29.03 Mn |
| Jun 30, 2024 | -3.24 Mn |
| Mar 31, 2024 | 11.85 Mn |
| Dec 31, 2023 | 26.63 Mn |
| Sep 30, 2023 | 32.61 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 14.36 Mn |
| Dec 31, 2022 | 34.02 Mn |
| Sep 30, 2022 | 34.01 Mn |
| Jun 30, 2022 | 674,000.00 |
| Mar 31, 2022 | 17.27 Mn |
| Dec 31, 2021 | 54.94 Mn |
API Access
Columbia Sportswear Tax Provisions 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=tax-provisions&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();