Columbia Sportswear (COLM) Accumulated Expenses (2010 - 2026)
Columbia Sportswear's (COLM) quarterly Accumulated Expenses came in at $188.9 million in Q2 2026, down 6.34% year-over-year from $201.7 million in Q2 2025, and down 6.42% quarter-over-quarter from $201.8 million in Q1 2026.
Columbia Sportswear (COLM) Accumulated Expenses (2010 - 2026) Analysis & Trends
Columbia Sportswear has disclosed Accumulated Expenses across 17 years of filings, most recently posting $188.9 million for Q2 2026.
- In Q2 2026, Accumulated Expenses fell 6.34% year-over-year to $188.9 million; the TTM figure through Jun 2026 stood at $188.9 million (down 6.34% YoY), while the FY2025 annual figure was $278.4 million, up 1.86% from the prior year.
- Accumulated Expenses came in at $188.9 million for Q2 2026 at Columbia Sportswear, down from $201.8 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $328.8 million in Q4 2022 to a low of $188.9 million in Q2 2026.
- Average Accumulated Expenses over 5 years is $246.8 million, with a median of $249.8 million recorded in 2022.
- Year-over-year, Accumulated Expenses climbed 15.92% in 2023 and dropped 20.15% in 2024.
- Over 5 years, Accumulated Expenses stood at $328.8 million in 2022, then retreated by 17.25% to $272.1 million in 2023, then rose by 0.47% to $273.3 million in 2024, then grew by 1.86% to $278.4 million in 2025, then tumbled by 32.16% to $188.9 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $188.9 million in Q2 2026, $201.8 million in Q1 2026, and $278.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 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();