Shoe Station (SHOE) Shares Outstanding (Diluted) (2009 - 2026)
Shoe Station (SHOE) posted Shares Outstanding (Diluted) of 27.32 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.5% from 27.46 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Shoe Station (SHOE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shoe Station's Shares Outstanding (Diluted) came in at 27.54 million, unchanged from FY2025.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Shares Outstanding (Diluted) was 27.52 million in FY2025 (+0.4%), 27.41 million in FY2024 (-1.5%), 27.81 million in FY2023 (-2.7%) and 28.6 million in FY2022 (+0.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Shares Outstanding (Diluted) since fiscal Q1 2012.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q3 2025, with growth of 0.6%; the weakest was fiscal Q3 2023, with a decline of 3.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 27.39 million (Q1 2027), 27.54 million (Q4 2026) and 27.6 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 739.91 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 456.60 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 812.20 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 16.87 Mn |
| 10 | Shoe Station | 396.07 Mn | -103.31 Mn | 90.61 Mn | 27.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 27.32 Mn |
| May 2, 2026 | 27.39 Mn |
| Jan 31, 2026 | 27.54 Mn |
| Nov 1, 2025 | 27.60 Mn |
| Aug 2, 2025 | 27.46 Mn |
| May 3, 2025 | 27.48 Mn |
| Feb 1, 2025 | 27.52 Mn |
| Nov 2, 2024 | 27.57 Mn |
| Aug 3, 2024 | 27.50 Mn |
| May 4, 2024 | 27.41 Mn |
| Feb 3, 2024 | 27.41 Mn |
| Oct 28, 2023 | 27.40 Mn |
| Jul 29, 2023 | 27.41 Mn |
| Apr 29, 2023 | 27.51 Mn |
| Jan 28, 2023 | 27.81 Mn |
| Oct 29, 2022 | 27.70 Mn |
| Jul 30, 2022 | 27.81 Mn |
| Apr 30, 2022 | 28.33 Mn |
| Jan 29, 2022 | 28.60 Mn |
| Oct 30, 2021 | 28.55 Mn |
API Access
Shoe Station Shares Outstanding (Diluted) 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-diluted&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();