Deckers Outdoor (DECK) Shares Outstanding (2009 - 2026)
Deckers Outdoor's Weighted Average Shares Outstanding was 135.04 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 8.4% from 147.4 million a year earlier and down 2.3% from the prior quarter.
Deckers Outdoor (DECK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Weighted Average Shares Outstanding at Deckers Outdoor came in at 145.5 million, down 4.3% from FY2025.
- Weighted Average Shares Outstanding has now declined for 11 consecutive fiscal years, with a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding was 151.99 million in FY2025 (-2.1%), 155.23 million in FY2024 (-2.4%), 159.02 million in FY2023 (-3.6%) and 165.05 million in FY2022 (-1.9%).
- The fiscal Q2 2027 figure marks the lowest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q4 2014.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 23 straight quarters, with an average decline of 4.3% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 1.4% (fiscal Q3 2025) and 8.4% (fiscal Q2 2027) over the last five years.
- Per Business Quant data, DECK's Weighted Average Shares Outstanding in the three fiscal quarters before Q2 2027 was 138.26 million (Q1 2027), 145.5 million (Q4 2026) and 144.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 60.00 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 112.90 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 135.04 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 393.37 Mn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 47.41 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 160.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 135.04 Mn |
| Jun 30, 2026 | 138.26 Mn |
| Mar 31, 2026 | 144.08 Mn |
| Dec 31, 2025 | 144.08 Mn |
| Sep 30, 2025 | 147.40 Mn |
| Jun 30, 2025 | 149.34 Mn |
| Mar 31, 2025 | 151.99 Mn |
| Dec 31, 2024 | 151.82 Mn |
| Sep 30, 2024 | 152.24 Mn |
| Jun 30, 2024 | 152.87 Mn |
| Mar 31, 2024 | 155.23 Mn |
| Dec 31, 2023 | 153.98 Mn |
| Sep 30, 2023 | 156.19 Mn |
| Jun 30, 2023 | 156.99 Mn |
| Mar 31, 2023 | 159.02 Mn |
| Dec 31, 2022 | 158.51 Mn |
| Sep 30, 2022 | 159.10 Mn |
| Jun 30, 2022 | 160.66 Mn |
| Mar 31, 2022 | 165.05 Mn |
| Dec 31, 2021 | 164.57 Mn |
Deckers Outdoor 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=DECK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DECK", "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=DECK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();