Columbia Sportswear (COLM) Property, Plant & Equipment (Net) (2010 - 2026)
Columbia Sportswear (COLM) posted Property, Plant & Equipment (Net) of $266.6 million for Q2 2026, down 5.9% from $283.22 million a year earlier and down 2.4% from the prior quarter.
Columbia Sportswear (COLM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Property, Plant & Equipment (Net) came in at $279.13 million, down 1.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's Property, Plant & Equipment (Net) was $282.91 million in FY2024 (-1.5%), $287.28 million in FY2023 (-1.4%), $291.21 million in FY2022 (unchanged) and $291.09 million in FY2021 (-6.0%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2012.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with an average decline of 1.1% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2025, with growth of 2.1%; the weakest was Q3 2021, with a decline of 8.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $273.21 million (Q1 2026), $279.13 million (Q4 2025) and $282.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 655.80 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 674.54 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 1.32 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 266.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.60 Mn |
| Mar 31, 2026 | 273.21 Mn |
| Dec 31, 2025 | 279.13 Mn |
| Sep 30, 2025 | 282.39 Mn |
| Jun 30, 2025 | 283.22 Mn |
| Mar 31, 2025 | 282.61 Mn |
| Dec 31, 2024 | 282.91 Mn |
| Sep 30, 2024 | 284.96 Mn |
| Jun 30, 2024 | 277.51 Mn |
| Mar 31, 2024 | 277.95 Mn |
| Dec 31, 2023 | 287.28 Mn |
| Sep 30, 2023 | 283.10 Mn |
| Jun 30, 2023 | 280.58 Mn |
| Mar 31, 2023 | 282.92 Mn |
| Dec 31, 2022 | 291.21 Mn |
| Sep 30, 2022 | 287.34 Mn |
| Jun 30, 2022 | 288.20 Mn |
| Mar 31, 2022 | 290.07 Mn |
| Dec 31, 2021 | 291.09 Mn |
| Sep 30, 2021 | 293.73 Mn |
Columbia Sportswear Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();