Shoe Station (SHOE) Non-Current Assets (2010 - 2026)
Shoe Station (SHOE) reported Non-Current Assets of $576.91 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.4% from $591.19 million a year earlier and down 1.9% from the prior quarter.
Shoe Station (SHOE) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station posted Non-Current Assets of $605.61 million, up 3.0% from FY2025.
- Non-Current Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 16.1% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $587.99 million in FY2025 (+4.9%), $560.69 million in FY2024 (+7.8%), $520.06 million in FY2023 (+40.5%) and $370.23 million in FY2022 (+28.8%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Non-Current Assets since fiscal Q4 2024.
- Year over year, Non-Current Assets gained in six of the last eight quarters, with growth averaging 1.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q3 2023 (growth of 72.6%); the low point was fiscal Q2 2027 (a decline of 2.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $588.15 million (Q1 2027), $605.61 million (Q4 2026) and $599.5 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn | 576.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 576.91 Mn |
| May 2, 2026 | 588.15 Mn |
| Jan 31, 2026 | 605.61 Mn |
| Nov 1, 2025 | 599.50 Mn |
| Aug 2, 2025 | 591.19 Mn |
| May 3, 2025 | 591.53 Mn |
| Feb 1, 2025 | 587.99 Mn |
| Nov 2, 2024 | 597.39 Mn |
| Aug 3, 2024 | 577.93 Mn |
| May 4, 2024 | 587.63 Mn |
| Feb 3, 2024 | 560.69 Mn |
| Oct 28, 2023 | 561.43 Mn |
| Jul 29, 2023 | 557.84 Mn |
| Apr 29, 2023 | 523.08 Mn |
| Jan 28, 2023 | 520.06 Mn |
| Oct 29, 2022 | 501.90 Mn |
| Jul 30, 2022 | 437.58 Mn |
| Apr 30, 2022 | 390.54 Mn |
| Jan 29, 2022 | 370.23 Mn |
| Oct 30, 2021 | 290.84 Mn |
Shoe Station 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=non-current-assets&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();