Columbia Sportswear (COLM) Accounts Payables (2010 - 2026)
Columbia Sportswear (COLM) recorded Accounts Payables of $473.21 million in Q2 2026, down 1.2% from $478.95 million a year earlier but up 102.5% from the prior quarter.
Columbia Sportswear (COLM) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear reported Accounts Payables of $385.6 million, unchanged from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $385.7 million in FY2024 (+63.5%), $235.93 million in FY2023 (-26.8%), $322.47 million in FY2022 (+13.8%) and $283.35 million in FY2021 (+37.1%).
- Quarterly Accounts Payables has ranged from $150.13 million in Q1 2024 to $478.95 million in Q2 2025 over the past five years.
- On a year-over-year basis, Accounts Payables rose in five of the last eight quarters, with growth averaging 31.7%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 78.8% in Q1 2025, against a decline of 51.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $233.66 million (Q1 2026), $385.6 million (Q4 2025) and $244.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.62 Bn | 21.82 Bn | 4.80 Bn | 3.42 Bn |
| 2 | Tapestry | 23.77 Bn | 19.73 Bn | 1.56 Bn | 582.30 Mn |
| 3 | Ralph Lauren | 22.83 Bn | 14.93 Bn | 1.44 Bn | 556.70 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 384.53 Mn |
| 5 | Lululemon Athletica | 11.14 Bn | 5.39 Bn | 1.46 Bn | 346.72 Mn |
| 6 | Levi Strauss | 8.05 Bn | 4.63 Bn | 1.07 Bn | 684.80 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.27 Bn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | 1.03 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn | 200.48 Mn |
| 10 | Columbia Sportswear | 3.13 Bn | 939.71 Mn | 358.43 Mn | 473.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473.21 Mn |
| Mar 31, 2026 | 233.66 Mn |
| Dec 31, 2025 | 385.60 Mn |
| Sep 30, 2025 | 244.37 Mn |
| Jun 30, 2025 | 478.95 Mn |
| Mar 31, 2025 | 268.50 Mn |
| Dec 31, 2024 | 385.70 Mn |
| Sep 30, 2024 | 221.71 Mn |
| Jun 30, 2024 | 267.85 Mn |
| Mar 31, 2024 | 150.13 Mn |
| Dec 31, 2023 | 235.93 Mn |
| Sep 30, 2023 | 162.22 Mn |
| Jun 30, 2023 | 247.42 Mn |
| Mar 31, 2023 | 220.23 Mn |
| Dec 31, 2022 | 322.47 Mn |
| Sep 30, 2022 | 336.78 Mn |
| Jun 30, 2022 | 312.35 Mn |
| Mar 31, 2022 | 262.26 Mn |
| Dec 31, 2021 | 283.35 Mn |
| Sep 30, 2021 | 241.12 Mn |
Columbia Sportswear Accounts Payables 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=accounts-payables&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();