Shoe Station (SHOE) Other Accumulated Expenses (2018 - 2026)
Shoe Station's Other Accumulated Expenses came in at $3.52 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), down 2.1% from $3.6 million a year earlier.
Shoe Station (SHOE) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Shoe Station's Other Accumulated Expenses data covers 9 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -10.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $3.6 million in FY2025 (-5.5%), $3.8 million in FY2024 (+1.3%), $3.76 million in FY2023 (-34.0%) and $5.7 million in FY2022 (-7.5%).
- The fiscal Q4 2026 figure represents the lowest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Shoe Station | 341.97 Mn | -157.41 Mn | 90.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3.52 Mn |
| Feb 1, 2025 | 3.60 Mn |
| Feb 3, 2024 | 3.80 Mn |
| Jan 28, 2023 | 3.76 Mn |
| Jan 29, 2022 | 5.70 Mn |
| Jan 30, 2021 | 6.16 Mn |
| Feb 1, 2020 | 4.46 Mn |
| Feb 2, 2019 | 5.16 Mn |
| Feb 3, 2018 | 4.07 Mn |
Shoe Station Other 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=other-accumulated-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();