Columbia Sportswear (COLM) Capital Expenditures (2010 - 2026)
Columbia Sportswear (COLM) reported Capital Expenditures of $13.37 million for Q2 2026, down 7.6% from $14.47 million a year earlier but up 7.4% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbia Sportswear's Capital Expenditures came in at $61.94 million, down 0.2% year-over-year; for FY2025, it came in at $66.17 million, up 10.6% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $59.81 million in FY2024 (+9.5%), $54.61 million in FY2023 (-6.6%), $58.47 million in FY2022 (+68.3%) and $34.74 million in FY2021 (+20.8%).
- Five-year quarterly Capital Expenditures spans a low of -$8.57 million in Q3 2021 and a high of $19.52 million in Q4 2025.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 3.4%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 298.7%); the low point was Q2 2023 (a decline of 45.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.45 million (Q1 2026), $19.52 million (Q4 2025) and $16.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 199.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 58.60 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 39.58 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -19.85 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 30.49 Mn |
| 10 | Columbia Sportswear | 3.13 Bn | 942.27 Mn | 358.43 Mn | 13.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.37 Mn |
| Mar 31, 2026 | 12.45 Mn |
| Dec 31, 2025 | 19.52 Mn |
| Sep 30, 2025 | 16.61 Mn |
| Jun 30, 2025 | 14.47 Mn |
| Mar 31, 2025 | 15.57 Mn |
| Dec 31, 2024 | 18.07 Mn |
| Sep 30, 2024 | 13.95 Mn |
| Jun 30, 2024 | 12.99 Mn |
| Mar 31, 2024 | 14.80 Mn |
| Dec 31, 2023 | 13.25 Mn |
| Sep 30, 2023 | 18.55 Mn |
| Jun 30, 2023 | 8.76 Mn |
| Mar 31, 2023 | 14.05 Mn |
| Dec 31, 2022 | 15.98 Mn |
| Sep 30, 2022 | 13.51 Mn |
| Jun 30, 2022 | 16.10 Mn |
| Mar 31, 2022 | 12.89 Mn |
| Dec 31, 2021 | 14.33 Mn |
| Sep 30, 2021 | -8.57 Mn |
API Access
Columbia Sportswear Capital Expenditures 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=capital-expenditures&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();