Columbia Sportswear (COLM) Other Non-Current Assets (2010 - 2026)
Columbia Sportswear (COLM) posted Other Non-Current Assets of $74.56 million for Q2 2026, up 18.2% from $63.08 million a year earlier and up 5.4% from the prior quarter.
Columbia Sportswear (COLM) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Other Non-Current Assets came in at $66.33 million, down 10.4% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's Other Non-Current Assets was $73.99 million in FY2024 (+9.5%), $67.58 million in FY2023 (-5.6%), $71.57 million in FY2022 (+4.6%) and $68.45 million in FY2021 (+7.6%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets in data going back to Q2 2010.
- On a year-over-year basis, Other Non-Current Assets increased in three of the last eight quarters, with an average decline of 0.4%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q2 2026, with growth of 18.2%; the weakest was Q2 2025, with a decline of 11.7%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $70.76 million (Q1 2026), $66.33 million (Q4 2025) and $64.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 146.90 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 66.33 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 332.64 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 545.60 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.88 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 98.97 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 14.17 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 74.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.56 Mn |
| Mar 31, 2026 | 70.76 Mn |
| Dec 31, 2025 | 66.33 Mn |
| Sep 30, 2025 | 64.71 Mn |
| Jun 30, 2025 | 63.08 Mn |
| Mar 31, 2025 | 64.76 Mn |
| Dec 31, 2024 | 73.99 Mn |
| Sep 30, 2024 | 69.00 Mn |
| Jun 30, 2024 | 71.44 Mn |
| Mar 31, 2024 | 70.61 Mn |
| Dec 31, 2023 | 67.58 Mn |
| Sep 30, 2023 | 71.74 Mn |
| Jun 30, 2023 | 67.29 Mn |
| Mar 31, 2023 | 70.26 Mn |
| Dec 31, 2022 | 71.57 Mn |
| Sep 30, 2022 | 68.15 Mn |
| Jun 30, 2022 | 66.65 Mn |
| Mar 31, 2022 | 66.72 Mn |
| Dec 31, 2021 | 68.45 Mn |
| Sep 30, 2021 | 67.28 Mn |
Columbia Sportswear Other Non-Current Assets 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=other-non-current-assets&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();