Columbia Sportswear (COLM) Receivables (2010 - 2026)
Columbia Sportswear's Receivables came in at $271.28 million for Q2 2026, down 6.6% from $290.57 million a year earlier and down 26.3% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Receivables was $403.17 million, down 3.4% from FY2024.
- Receivables has declined in each of the last three years, with a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Going back by year, Receivables was $417.54 million in FY2024 (-1.3%), $423.08 million in FY2023 (-22.7%), $547.56 million in FY2022 (+12.3%) and $487.8 million in FY2021 (+7.7%).
- The Q2 2026 figure represents the lowest quarterly Receivables since Q2 2024.
- Year-over-year, Receivables has declined for three consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2025 (growth of 30.5%), and the weakest in Q2 2024 (a decline of 35.3%).
- Business Quant data shows COLM's Receivables at $368.31 million (Q1 2026), $403.17 million (Q4 2025) and $610.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 5.24 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 745.20 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.22 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 1.08 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 323.20 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 271.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 271.28 Mn |
| Mar 31, 2026 | 368.31 Mn |
| Dec 31, 2025 | 403.17 Mn |
| Sep 30, 2025 | 610.46 Mn |
| Jun 30, 2025 | 290.57 Mn |
| Mar 31, 2025 | 387.85 Mn |
| Dec 31, 2024 | 417.54 Mn |
| Sep 30, 2024 | 581.74 Mn |
| Jun 30, 2024 | 222.63 Mn |
| Mar 31, 2024 | 366.38 Mn |
| Dec 31, 2023 | 423.08 Mn |
| Sep 30, 2023 | 686.82 Mn |
| Jun 30, 2023 | 343.84 Mn |
| Mar 31, 2023 | 466.69 Mn |
| Dec 31, 2022 | 547.56 Mn |
| Sep 30, 2022 | 600.46 Mn |
| Jun 30, 2022 | 296.64 Mn |
| Mar 31, 2022 | 408.19 Mn |
| Dec 31, 2021 | 487.80 Mn |
| Sep 30, 2021 | 500.45 Mn |
API Access
Columbia Sportswear Receivables 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=receivables&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();