Shoe Station (SHOE) Other Non-Current Assets (2010 - 2026)
Shoe Station's Other Non-Current Assets came in at $10.48 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 12.3% from $11.95 million a year earlier and down 5.6% from the prior quarter.
Shoe Station (SHOE) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station's Other Non-Current Assets was $11.47 million, down 9.3% from FY2025.
- Other Non-Current Assets has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Assets was $12.65 million in FY2025 (-7.0%), $13.6 million in FY2024 (-11.6%), $15.39 million in FY2023 (+9.4%) and $14.06 million in FY2022 (+1.6%).
- The fiscal Q2 2027 figure represents the lowest quarterly Other Non-Current Assets since fiscal Q1 2021.
- Year-over-year, Other Non-Current Assets has declined for 13 consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q3 2022 (growth of 20.5%), and the weakest in fiscal Q2 2027 (a decline of 12.3%).
- Business Quant data shows SHOE's Other Non-Current Assets at $11.1 million (Q1 2027), $11.47 million (Q4 2026) and $11.84 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 284.13 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 836.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.82 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 347.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 302.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.95 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 199.62 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 229.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 336.18 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 10.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.48 Mn |
| May 2, 2026 | 11.10 Mn |
| Jan 31, 2026 | 11.47 Mn |
| Nov 1, 2025 | 11.84 Mn |
| Aug 2, 2025 | 11.95 Mn |
| May 3, 2025 | 12.31 Mn |
| Feb 1, 2025 | 12.65 Mn |
| Nov 2, 2024 | 13.20 Mn |
| Aug 3, 2024 | 12.92 Mn |
| May 4, 2024 | 13.34 Mn |
| Feb 3, 2024 | 13.60 Mn |
| Oct 28, 2023 | 14.00 Mn |
| Jul 29, 2023 | 14.43 Mn |
| Apr 29, 2023 | 15.21 Mn |
| Jan 28, 2023 | 15.39 Mn |
| Oct 29, 2022 | 15.61 Mn |
| Jul 30, 2022 | 14.87 Mn |
| Apr 30, 2022 | 13.95 Mn |
| Jan 29, 2022 | 14.06 Mn |
| Oct 30, 2021 | 14.22 Mn |
Shoe Station Other Non-Current Assets 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-non-current-assets&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();