Columbia Sportswear (COLM) Change in Accured Expenses (2010 - 2026)
Columbia Sportswear's Change in Accured Expenses came in at -$13.16 million for Q2 2026, compared with -$18.21 million a year earlier.
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Analysis
Columbia Sportswear (COLM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbia Sportswear reported Change in Accured Expenses of -$8.22 million; for FY2025, it came in at -$10.48 million.
- Going back by year, Change in Accured Expenses was $8.82 million in FY2024, -$62.24 million in FY2023, $20.68 million in FY2022 (-68.9%) and $66.46 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$81.37 million (Q1 2022) to $92.01 million (Q3 2021).
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2021 (growth of 91.1%), and the weakest in Q3 2022 (a decline of 47.0%).
- Business Quant data shows COLM's Change in Accured Expenses at -$73.8 million (Q1 2026), $17.95 million (Q4 2025) and $60.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -99.78 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 | 40.70 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | -13.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.16 Mn |
| Mar 31, 2026 | -73.80 Mn |
| Dec 31, 2025 | 17.95 Mn |
| Sep 30, 2025 | 60.78 Mn |
| Jun 30, 2025 | -18.21 Mn |
| Mar 31, 2025 | -71.01 Mn |
| Dec 31, 2024 | 16.64 Mn |
| Sep 30, 2024 | 55.80 Mn |
| Jun 30, 2024 | -14.58 Mn |
| Mar 31, 2024 | -49.05 Mn |
| Dec 31, 2023 | -19.99 Mn |
| Sep 30, 2023 | 48.51 Mn |
| Jun 30, 2023 | -31.22 Mn |
| Mar 31, 2023 | -59.54 Mn |
| Dec 31, 2022 | 39.09 Mn |
| Sep 30, 2022 | 48.79 Mn |
| Jun 30, 2022 | 14.17 Mn |
| Mar 31, 2022 | -81.37 Mn |
| Dec 31, 2021 | 41.64 Mn |
| Sep 30, 2021 | 92.01 Mn |
API Access
Columbia Sportswear Change in Accured Expenses 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=change-in-accured-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();