Columbia Sportswear (COLM) Shares Outstanding (2010 - 2026)
Columbia Sportswear's Shares Outstanding was 51.17 million in Q2 2026, down 6.6% from 54.78 million a year earlier and down 2.8% from the prior quarter.
Powered by 
Analysis
Columbia Sportswear (COLM) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Columbia Sportswear came in at 54.68 million, down 6.3% from FY2024.
- Shares Outstanding has now declined for eight consecutive years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 58.33 million in FY2024 (-4.7%), 61.23 million in FY2023 (-2.4%), 62.75 million in FY2022 (-4.8%) and 65.94 million in FY2021 (-0.7%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding in data going back to Q2 2010.
- Compared with a year earlier, Shares Outstanding has declined for 20 straight quarters, with an average decline of 6.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.5% (Q3 2021) to 7.3% (Q2 2025).
- Per Business Quant data, COLM's Shares Outstanding in the three quarters before Q2 2026 was 52.63 million (Q1 2026), 54.68 million (Q4 2025) and 54.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 392.11 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 160.16 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 51.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.17 Mn |
| Mar 31, 2026 | 52.63 Mn |
| Dec 31, 2025 | 54.68 Mn |
| Sep 30, 2025 | 54.54 Mn |
| Jun 30, 2025 | 54.78 Mn |
| Mar 31, 2025 | 55.73 Mn |
| Dec 31, 2024 | 58.33 Mn |
| Sep 30, 2024 | 57.79 Mn |
| Jun 30, 2024 | 59.09 Mn |
| Mar 31, 2024 | 59.82 Mn |
| Dec 31, 2023 | 61.23 Mn |
| Sep 30, 2023 | 60.84 Mn |
| Jun 30, 2023 | 61.66 Mn |
| Mar 31, 2023 | 62.13 Mn |
| Dec 31, 2022 | 62.75 Mn |
| Sep 30, 2022 | 62.10 Mn |
| Jun 30, 2022 | 62.55 Mn |
| Mar 31, 2022 | 64.27 Mn |
| Dec 31, 2021 | 65.94 Mn |
| Sep 30, 2021 | 65.86 Mn |
API Access
Columbia Sportswear Shares Outstanding 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=shares-outstanding&ticker=COLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();