Steven Madden (SHOO) Shares Outstanding (2010 - 2026)
Steven Madden's Shares Outstanding was 71.29 million in Q2 2026, up 0.6% from 70.87 million a year earlier and up 0.2% from the prior quarter.
Analysis
Steven Madden (SHOO) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Steven Madden came in at 70.87 million, down 0.6% from FY2024.
- Shares Outstanding has now declined for 12 consecutive years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 71.27 million in FY2024 (-2.8%), 73.34 million in FY2023 (-3.5%), 76.02 million in FY2022 (-3.1%) and 78.44 million in FY2021 (-0.2%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding since Q2 2024.
- Compared with a year earlier, Shares Outstanding was higher in three of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Shares Outstanding over five years was Q2 2026 (growth of 0.6%); the worst was Q2 2023 (a decline of 3.8%).
- Per Business Quant data, SHOO's Shares Outstanding in the three quarters before Q2 2026 was 71.16 million (Q1 2026), 70.87 million (Q4 2025) and 70.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.16 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.12 Mn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn | 71.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.29 Mn |
| Mar 31, 2026 | 71.16 Mn |
| Dec 31, 2025 | 70.87 Mn |
| Sep 30, 2025 | 70.91 Mn |
| Jun 30, 2025 | 70.87 Mn |
| Mar 31, 2025 | 70.77 Mn |
| Dec 31, 2024 | 71.27 Mn |
| Sep 30, 2024 | 70.81 Mn |
| Jun 30, 2024 | 71.46 Mn |
| Mar 31, 2024 | 72.29 Mn |
| Dec 31, 2023 | 73.34 Mn |
| Sep 30, 2023 | 72.94 Mn |
| Jun 30, 2023 | 73.61 Mn |
| Mar 31, 2023 | 74.50 Mn |
| Dec 31, 2022 | 76.02 Mn |
| Sep 30, 2022 | 75.60 Mn |
| Jun 30, 2022 | 76.56 Mn |
| Mar 31, 2022 | 77.25 Mn |
| Dec 31, 2021 | 78.44 Mn |
| Sep 30, 2021 | 78.13 Mn |
API Access
Steven Madden 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=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SHOO", "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=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();