Columbia Sportswear (COLM) Inventory (2010 - 2026)
Columbia Sportswear (COLM) recorded Inventory of $874.77 million in Q2 2026, down 5.6% from $926.93 million a year earlier but up 40.2% from the prior quarter.
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Analysis
Columbia Sportswear (COLM) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Sportswear reported Inventory of $689.46 million, down 0.2% from FY2024.
- Annual Inventory has declined for three straight years, though with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $690.52 million in FY2024 (-7.5%), $746.29 million in FY2023 (-27.4%), $1.03 billion in FY2022 (+59.4%) and $645.38 million in FY2021 (+16.0%).
- Quarterly Inventory has ranged from $607.37 million in Q1 2024 to $1.16 billion in Q2 2023 over the past five years.
- On a year-over-year basis, Inventory rose in three of the last eight quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Inventory in the last five years was growth of 59.4% in Q4 2022, against a decline of 36.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $623.97 million (Q1 2026), $689.46 million (Q4 2025) and $800.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 1.25 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.90 Bn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 2.17 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 963.27 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 874.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 874.77 Mn |
| Mar 31, 2026 | 623.97 Mn |
| Dec 31, 2025 | 689.46 Mn |
| Sep 30, 2025 | 800.35 Mn |
| Jun 30, 2025 | 926.93 Mn |
| Mar 31, 2025 | 623.70 Mn |
| Dec 31, 2024 | 690.52 Mn |
| Sep 30, 2024 | 798.15 Mn |
| Jun 30, 2024 | 823.56 Mn |
| Mar 31, 2024 | 607.37 Mn |
| Dec 31, 2023 | 746.29 Mn |
| Sep 30, 2023 | 885.16 Mn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 959.23 Mn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 962.88 Mn |
| Mar 31, 2022 | 714.42 Mn |
| Dec 31, 2021 | 645.38 Mn |
| Sep 30, 2021 | 720.87 Mn |
API Access
Columbia Sportswear Inventory 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=inventory&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();