Shoe Station (SHOE) Accumulated Expenses (2010 - 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.
Shoe Station (SHOE) Accumulated Expenses (2010 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn |
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 | 33.05 Mn |
| Oct 30, 2021 | 48.54 Mn |
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_KEY
import 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();