Columbia Sportswear (COLM) Cash & Equivalents (2010 - 2026)
Columbia Sportswear's Cash & Equivalents was $216.92 million in Q3 2026, down 5.2% from $228.83 million a year earlier and down 59.2% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Columbia Sportswear came in at $442.03 million, down 16.9% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $531.87 million in FY2024 (+51.8%), $350.32 million in FY2023 (-18.6%), $430.24 million in FY2022 (-43.6%) and $763.4 million in FY2021 (-3.5%).
- The Q3 2026 figure marks the lowest quarterly Cash & Equivalents since Q3 2023.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2024 (growth of 51.8%); the worst was Q3 2022 (a decline of 73.4%).
- Per Business Quant data, COLM's Cash & Equivalents in the three quarters before Q3 2026 was $532.31 million (Q2 2026), $319.34 million (Q1 2026) and $442.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 1.43 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 1.39 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 1.21 Bn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 442.95 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 163.46 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Columbia Sportswear | 3.59 Bn | 1.41 Bn | 479.02 Mn | 216.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 216.92 Mn |
| Jun 30, 2026 | 532.31 Mn |
| Mar 31, 2026 | 319.34 Mn |
| Dec 31, 2025 | 442.03 Mn |
| Sep 30, 2025 | 228.83 Mn |
| Jun 30, 2025 | 427.80 Mn |
| Mar 31, 2025 | 323.34 Mn |
| Dec 31, 2024 | 531.87 Mn |
| Sep 30, 2024 | 306.68 Mn |
| Jun 30, 2024 | 341.82 Mn |
| Mar 31, 2024 | 418.46 Mn |
| Dec 31, 2023 | 350.32 Mn |
| Sep 30, 2023 | 213.28 Mn |
| Jun 30, 2023 | 231.57 Mn |
| Mar 31, 2023 | 361.05 Mn |
| Dec 31, 2022 | 430.24 Mn |
| Sep 30, 2022 | 159.22 Mn |
| Jun 30, 2022 | 413.11 Mn |
| Mar 31, 2022 | 435.24 Mn |
| Dec 31, 2021 | 763.40 Mn |
API Access
Columbia Sportswear Cash & Equivalents 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=cash-and-equivalents&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();