Shoe Station (SHOE) Shares Outstanding (Entity) (2011 - 2026)
Shoe Station (SHOE) posted Shares Outstanding (Entity) of 27.18 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.7% from 27.37 million a year earlier but up 0.1% from the prior quarter.
Shoe Station (SHOE) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shoe Station's Shares Outstanding (Entity) came in at 27.47 million, up 1.1% from FY2025.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Shares Outstanding (Entity) was 27.17 million in FY2025 (+0.2%), 27.13 million in FY2024 (-0.1%), 27.17 million in FY2023 (-3.6%) and 28.17 million in FY2022 (-0.1%).
- Quarterly Shares Outstanding (Entity) has run from a low of 27.13 million in fiscal Q3 2024 to a high of 28.17 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) increased in six of the last eight quarters, with growth averaging 0.3%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was fiscal Q4 2026, with growth of 1.1%; the weakest was fiscal Q4 2023, with a decline of 3.6%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior fiscal quarters was 27.15 million (Q1 2027), 27.47 million (Q4 2026) and 27.37 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 27.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 27.18 Mn |
| May 2, 2026 | 27.15 Mn |
| Jan 31, 2026 | 27.47 Mn |
| Nov 1, 2025 | 27.37 Mn |
| Aug 2, 2025 | 27.37 Mn |
| May 3, 2025 | 27.34 Mn |
| Feb 1, 2025 | 27.17 Mn |
| Nov 2, 2024 | 27.17 Mn |
| Aug 3, 2024 | 27.17 Mn |
| May 4, 2024 | 27.16 Mn |
| Feb 3, 2024 | 27.13 Mn |
| Oct 28, 2023 | 27.13 Mn |
| Jul 29, 2023 | 27.34 Mn |
| Apr 29, 2023 | 27.34 Mn |
| Jan 28, 2023 | 27.17 Mn |
| Oct 29, 2022 | 27.17 Mn |
| Jul 30, 2022 | 27.61 Mn |
| Apr 30, 2022 | 27.59 Mn |
| Jan 29, 2022 | 28.17 Mn |
| Oct 30, 2021 | 28.17 Mn |
Shoe Station Shares Outstanding (Entity) 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-entity&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SHOE", "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-entity&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();