Columbia Sportswear (COLM) Accumulated Expenses (2010 - 2026)
Columbia Sportswear's Accumulated Expenses came in at $188.89 million for Q2 2026, down 6.3% from $201.67 million a year earlier and down 6.4% from the prior quarter.
Columbia Sportswear (COLM) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear's Accumulated Expenses was $278.42 million, up 1.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $273.33 million in FY2024 (+0.5%), $272.06 million in FY2023 (-17.2%), $328.76 million in FY2022 (+3.9%) and $316.49 million in FY2021 (+23.0%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q4 2017.
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 23.0%), and the weakest in Q1 2024 (a decline of 20.1%).
- Business Quant data shows COLM's Accumulated Expenses at $201.84 million (Q1 2026), $278.42 million (Q4 2025) and $260.49 million (Q3 2025) in the three quarters before Q2 2026.
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 | 188.89 Mn |
| Mar 31, 2026 | 201.84 Mn |
| Dec 31, 2025 | 278.42 Mn |
| Sep 30, 2025 | 260.49 Mn |
| Jun 30, 2025 | 201.67 Mn |
| Mar 31, 2025 | 205.33 Mn |
| Dec 31, 2024 | 273.33 Mn |
| Sep 30, 2024 | 266.16 Mn |
| Jun 30, 2024 | 201.70 Mn |
| Mar 31, 2024 | 216.90 Mn |
| Dec 31, 2023 | 272.06 Mn |
| Sep 30, 2023 | 283.80 Mn |
| Jun 30, 2023 | 238.99 Mn |
| Mar 31, 2023 | 271.63 Mn |
| Dec 31, 2022 | 328.76 Mn |
| Sep 30, 2022 | 279.23 Mn |
| Jun 30, 2022 | 239.18 Mn |
| Mar 31, 2022 | 234.33 Mn |
| Dec 31, 2021 | 316.49 Mn |
| Sep 30, 2021 | 273.59 Mn |
Columbia Sportswear Accumulated 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=accumulated-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();