Columbia Sportswear (COLM) Cash & Equivalents (2010 - 2026)
Columbia Sportswear's Cash & Equivalents was $532.31 million in Q2 2026, up 24.4% from $427.8 million a year earlier and up 66.7% from the prior quarter.
Powered by 
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 Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2021.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 91.3%); the worst was Q3 2022 (a decline of 73.4%).
- Per Business Quant data, COLM's Cash & Equivalents in the three quarters before Q2 2026 was $319.34 million (Q1 2026), $442.03 million (Q4 2025) and $228.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 670.06 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 268.30 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 532.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 599.48 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();