Columbia Sportswear (COLM) Non-Current Assets (2010 - 2026)
Columbia Sportswear (COLM) recorded Non-Current Assets of $932.12 million in Q2 2026, down 6.4% from $996.35 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear reported Non-Current Assets of $956 million, down 1.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $966.68 million in FY2024 (+4.6%), $924.33 million in FY2023 (+1.1%), $914.61 million in FY2022 (-4.0%) and $953.09 million in FY2021 (-2.8%).
- The Q2 2026 figure is the lowest quarterly Non-Current Assets since Q2 2024.
- On a year-over-year basis, Non-Current Assets has declined for three consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 9.1% in Q2 2025, against a decline of 6.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $945.41 million (Q1 2026), $956 million (Q4 2025) and $966.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 932.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 932.12 Mn |
| Mar 31, 2026 | 945.41 Mn |
| Dec 31, 2025 | 956.00 Mn |
| Sep 30, 2025 | 966.22 Mn |
| Jun 30, 2025 | 996.35 Mn |
| Mar 31, 2025 | 966.08 Mn |
| Dec 31, 2024 | 966.68 Mn |
| Sep 30, 2024 | 934.48 Mn |
| Jun 30, 2024 | 913.01 Mn |
| Mar 31, 2024 | 916.01 Mn |
| Dec 31, 2023 | 924.33 Mn |
| Sep 30, 2023 | 916.19 Mn |
| Jun 30, 2023 | 888.66 Mn |
| Mar 31, 2023 | 901.61 Mn |
| Dec 31, 2022 | 914.61 Mn |
| Sep 30, 2022 | 930.54 Mn |
| Jun 30, 2022 | 931.66 Mn |
| Mar 31, 2022 | 949.85 Mn |
| Dec 31, 2021 | 953.09 Mn |
| Sep 30, 2021 | 969.29 Mn |
API Access
Columbia Sportswear 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=non-current-assets&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();