Shoe Station (SHOE) Inventory (2010 - 2026)
Shoe Station (SHOE) reported Inventory of $426.62 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.0% from $449.01 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Shoe Station (SHOE) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station posted Inventory of $439.64 million, up 14.0% from FY2025.
- Inventory has a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $385.61 million in FY2025 (+11.3%), $346.44 million in FY2024 (-11.3%), $390.39 million in FY2023 (+36.9%) and $285.21 million in FY2022 (+22.3%).
- Five-year quarterly Inventory spans a low of $282.01 million in fiscal Q3 2022 and a high of $449.01 million in fiscal Q2 2026.
- Year over year, Inventory gained in six of the last eight quarters, with growth averaging 5.6%.
- The high point for year-over-year Inventory in five years was fiscal Q3 2023 (growth of 39.1%); the low point was fiscal Q4 2024 (a decline of 11.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $417.18 million (Q1 2027), $439.64 million (Q4 2026) and $435.3 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn | 426.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 426.62 Mn |
| May 2, 2026 | 417.18 Mn |
| Jan 31, 2026 | 439.64 Mn |
| Nov 1, 2025 | 435.30 Mn |
| Aug 2, 2025 | 449.01 Mn |
| May 3, 2025 | 428.42 Mn |
| Feb 1, 2025 | 385.61 Mn |
| Nov 2, 2024 | 406.60 Mn |
| Aug 3, 2024 | 425.46 Mn |
| May 4, 2024 | 411.62 Mn |
| Feb 3, 2024 | 346.44 Mn |
| Oct 28, 2023 | 368.34 Mn |
| Jul 29, 2023 | 409.34 Mn |
| Apr 29, 2023 | 389.51 Mn |
| Jan 28, 2023 | 390.39 Mn |
| Oct 29, 2022 | 392.29 Mn |
| Jul 30, 2022 | 385.51 Mn |
| Apr 30, 2022 | 345.02 Mn |
| Jan 29, 2022 | 285.21 Mn |
| Oct 30, 2021 | 282.01 Mn |
API Access
Shoe Station Inventory 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=inventory&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();