Shoe Station (SHOE) Revenue (2011 - 2026)
Shoe Station (SHOE) posted Revenue of $284.31 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 7.2% from $306.39 million a year earlier but up 5.0% from the prior quarter.
Powered by 
Analysis
Shoe Station (SHOE) Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Revenue at Shoe Station was $1.11 billion, down 4.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.14 billion, down 5.6% from FY2025.
- Annual Revenue shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Revenue was $1.2 billion in FY2025 (+2.3%), $1.18 billion in FY2024 (-6.8%), $1.26 billion in FY2023 (-5.1%) and $1.33 billion in FY2022 (+36.2%).
- Quarterly Revenue has run from a low of $254.07 million in fiscal Q4 2026 to a high of $356.34 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Revenue has declined in each of the last eight quarters, with an average decline of 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q3 2022, with growth of 29.8%; the weakest was fiscal Q1 2024, with a decline of 11.4%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $270.73 million (Q1 2027), $254.07 million (Q4 2026) and $297.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 284.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 284.31 Mn |
| May 2, 2026 | 270.73 Mn |
| Jan 31, 2026 | 254.07 Mn |
| Nov 1, 2025 | 297.16 Mn |
| Aug 2, 2025 | 306.39 Mn |
| May 3, 2025 | 277.72 Mn |
| Feb 1, 2025 | 262.94 Mn |
| Nov 2, 2024 | 306.89 Mn |
| Aug 3, 2024 | 332.70 Mn |
| May 4, 2024 | 300.37 Mn |
| Feb 3, 2024 | 280.17 Mn |
| Oct 28, 2023 | 319.91 Mn |
| Jul 29, 2023 | 294.62 Mn |
| Apr 29, 2023 | 281.18 Mn |
| Jan 28, 2023 | 290.78 Mn |
| Oct 29, 2022 | 341.66 Mn |
| Jul 30, 2022 | 312.27 Mn |
| Apr 30, 2022 | 317.53 Mn |
| Jan 29, 2022 | 313.37 Mn |
| Oct 30, 2021 | 356.34 Mn |
API Access
Shoe Station Revenue 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=revenue&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();