Columbia Sportswear (COLM) Total Non-Current Liabilities (2010 - 2026)
Columbia Sportswear (COLM) posted Total Non-Current Liabilities of $1.14 billion for Q2 2026, down 2.9% from $1.18 billion a year earlier but up 22.7% from the prior quarter.
Columbia Sportswear (COLM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Total Non-Current Liabilities came in at $1.17 billion, up 1.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's Total Non-Current Liabilities was $1.15 billion in FY2024 (+20.2%), $959.15 million in FY2023 (-11.4%), $1.08 billion in FY2022 (+4.8%) and $1.03 billion in FY2021 (+8.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $813.88 million in Q1 2024 to a high of $1.18 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 9.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2025, with growth of 31.3%; the weakest was Q3 2023, with a decline of 16.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $932.15 million (Q1 2026), $1.17 billion (Q4 2025) and $1.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 7.07 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 4.37 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 1.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 916.53 Mn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 990.63 Mn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 939.67 Mn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 915.79 Mn |
| Jun 30, 2024 | 883.83 Mn |
| Mar 31, 2024 | 787.62 Mn |
| Dec 31, 2023 | 933.47 Mn |
| Sep 30, 2023 | 849.47 Mn |
| Jun 30, 2023 | 855.33 Mn |
| Mar 31, 2023 | 872.40 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 930.49 Mn |
| Mar 31, 2022 | 892.26 Mn |
| Dec 31, 2021 | 998.06 Mn |
| Sep 30, 2021 | 921.49 Mn |
Columbia Sportswear Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();