Columbia Sportswear (COLM) Other Non-Current Liabilities (2010 - 2026)
Columbia Sportswear (COLM) recorded Other Non-Current Liabilities of $52.2 million in Q2 2026, down 10.2% from $58.11 million a year earlier but up 5.5% from the prior quarter.
Columbia Sportswear (COLM) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear reported Other Non-Current Liabilities of $52.24 million, up 24.8% from FY2024.
- Annual Other Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $41.87 million in FY2024 (+1.5%), $41.25 million in FY2023 (+24.1%), $33.25 million in FY2022 (-25.3%) and $44.54 million in FY2021 (-10.8%).
- Quarterly Other Non-Current Liabilities has ranged from $29.95 million in Q3 2023 to $58.11 million in Q2 2025 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 19.1%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 47.4% in Q2 2025, against a decline of 33.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.46 million (Q1 2026), $52.24 million (Q4 2025) and $51.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.43 Mn |
| Mar 31, 2026 | 65.08 Mn |
| Dec 31, 2025 | 67.32 Mn |
| Sep 30, 2025 | 65.99 Mn |
| Jun 30, 2025 | 72.16 Mn |
| Mar 31, 2025 | 57.98 Mn |
| Dec 31, 2024 | 55.04 Mn |
| Sep 30, 2024 | 57.48 Mn |
| Jun 30, 2024 | 53.03 Mn |
| Mar 31, 2024 | 65.17 Mn |
| Dec 31, 2023 | 66.94 Mn |
| Sep 30, 2023 | 54.16 Mn |
| Jun 30, 2023 | 59.82 Mn |
| Mar 31, 2023 | 68.79 Mn |
| Dec 31, 2022 | 66.27 Mn |
| Sep 30, 2022 | 64.13 Mn |
| Jun 30, 2022 | 64.58 Mn |
| Mar 31, 2022 | 76.82 Mn |
| Dec 31, 2021 | 79.82 Mn |
| Sep 30, 2021 | 87.56 Mn |
Columbia Sportswear Other 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=other-non-current-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();