Shoe Station (SHOE) Accumulated Expenses (2009 - 2026)
Shoe Station's Accumulated Expenses was $23.03 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 23.0% from $29.91 million a year earlier but up 22.1% from the prior quarter.
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Analysis
Shoe Station (SHOE) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Shoe Station came in at $21.2 million, down 16.5% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $25.38 million in FY2025 (+52.7%), $16.62 million in FY2024 (-18.1%), $20.28 million in FY2023 (-38.6%) and $33.05 million in FY2022 (+35.5%).
- Quarterly Accumulated Expenses has moved between $16.62 million (fiscal Q4 2024) and $48.54 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 1.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2022 (growth of 91.5%); the worst was fiscal Q2 2023 (a decline of 54.3%).
- Per Business Quant data, SHOE's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $18.86 million (Q1 2027), $21.2 million (Q4 2026) and $23.57 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | Shoe Station | 396.07 Mn | -103.31 Mn | 90.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 23.03 Mn |
| May 2, 2026 | 18.86 Mn |
| Jan 31, 2026 | 21.20 Mn |
| Nov 1, 2025 | 23.57 Mn |
| Aug 2, 2025 | 29.91 Mn |
| May 3, 2025 | 24.70 Mn |
| Feb 1, 2025 | 25.38 Mn |
| Nov 2, 2024 | 20.05 Mn |
| Aug 3, 2024 | 30.20 Mn |
| May 4, 2024 | 21.94 Mn |
| Feb 3, 2024 | 16.62 Mn |
| Oct 28, 2023 | 21.39 Mn |
| Jul 29, 2023 | 20.00 Mn |
| Apr 29, 2023 | 21.31 Mn |
| Jan 28, 2023 | 20.28 Mn |
| Oct 29, 2022 | 22.94 Mn |
| Jul 30, 2022 | 22.89 Mn |
| Apr 30, 2022 | 31.24 Mn |
| Jan 29, 2022 | 36.75 Mn |
| Oct 30, 2021 | 48.54 Mn |
API Access
Shoe Station Accumulated Expenses 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=accumulated-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();