Columbia Sportswear (COLM) Total Liabilities (2010 - 2026)
Columbia Sportswear (COLM) recorded Total Liabilities of $1.2 billion in Q2 2026, down 3.3% from $1.24 billion a year earlier but up 21.9% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear reported Total Liabilities of $1.22 billion, up 1.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.2 billion in FY2024 (+19.5%), $1 billion in FY2023 (-10.3%), $1.12 billion in FY2022 (+3.5%) and $1.08 billion in FY2021 (+7.4%).
- Quarterly Total Liabilities has ranged from $852.79 million in Q1 2024 to $1.24 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 10.2%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 32.0% in Q2 2025, against a decline of 16.0% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $981.62 million (Q1 2026), $1.22 billion (Q4 2025) and $1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 4.51 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 7.70 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 6.72 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | 981.62 Mn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.24 Bn |
| Mar 31, 2025 | 997.65 Mn |
| Dec 31, 2024 | 1.20 Bn |
| Sep 30, 2024 | 973.27 Mn |
| Jun 30, 2024 | 936.86 Mn |
| Mar 31, 2024 | 852.79 Mn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 903.63 Mn |
| Jun 30, 2023 | 915.15 Mn |
| Mar 31, 2023 | 941.19 Mn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 995.07 Mn |
| Mar 31, 2022 | 969.08 Mn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 1.01 Bn |
API Access
Columbia Sportswear Total 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-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();