Columbia Sportswear (COLM) Prepaid Assets (2010 - 2026)
Columbia Sportswear (COLM) posted Prepaid Assets of $95.15 million for Q2 2026, down 2.4% from $97.5 million a year earlier but up 5.1% from the prior quarter.
Columbia Sportswear (COLM) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Prepaid Assets came in at $89.08 million, up 4.7% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, Columbia Sportswear's Prepaid Assets was $85.05 million in FY2024 (+5.2%), $80.81 million in FY2023 (-37.8%), $129.87 million in FY2022 (+50.5%) and $86.31 million in FY2021 (+59.2%).
- Quarterly Prepaid Assets has run from a low of $71.37 million in Q1 2025 to a high of $142.06 million in Q3 2022 over five years.
- On a year-over-year basis, Prepaid Assets increased in five of the last eight quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2021, with growth of 59.2%; the weakest was Q4 2023, with a decline of 37.8%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $90.54 million (Q1 2026), $89.08 million (Q4 2025) and $99.49 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 | 95.15 Mn |
| Mar 31, 2026 | 90.54 Mn |
| Dec 31, 2025 | 89.08 Mn |
| Sep 30, 2025 | 99.49 Mn |
| Jun 30, 2025 | 97.50 Mn |
| Mar 31, 2025 | 71.37 Mn |
| Dec 31, 2024 | 85.05 Mn |
| Sep 30, 2024 | 72.44 Mn |
| Jun 30, 2024 | 90.53 Mn |
| Mar 31, 2024 | 84.74 Mn |
| Dec 31, 2023 | 80.81 Mn |
| Sep 30, 2023 | 96.02 Mn |
| Jun 30, 2023 | 91.99 Mn |
| Mar 31, 2023 | 100.88 Mn |
| Dec 31, 2022 | 129.87 Mn |
| Sep 30, 2022 | 142.06 Mn |
| Jun 30, 2022 | 121.40 Mn |
| Mar 31, 2022 | 105.26 Mn |
| Dec 31, 2021 | 86.31 Mn |
| Sep 30, 2021 | 98.15 Mn |
Columbia Sportswear Prepaid Assets 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=prepaid-assets&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();