Shoe Station (SHOE) Total Liabilities (2010 - 2026)
Shoe Station's Total Liabilities was $490.83 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.8% from $494.56 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Shoe Station (SHOE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Shoe Station came in at $512.08 million, up 7.8% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $475.14 million in FY2025 (+3.6%), $458.64 million in FY2024 (-1.2%), $464.21 million in FY2023 (+29.0%) and $359.73 million in FY2022 (+8.2%).
- Quarterly Total Liabilities has moved between $353.96 million (fiscal Q3 2022) and $512.08 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2023 (growth of 30.2%); the worst was fiscal Q1 2026 (a decline of 1.7%).
- Per Business Quant data, SHOE's Total Liabilities in the three fiscal quarters before Q2 2027 was $485.68 million (Q1 2027), $512.08 million (Q4 2026) and $489.36 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn | 490.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 490.83 Mn |
| May 2, 2026 | 485.68 Mn |
| Jan 31, 2026 | 512.08 Mn |
| Nov 1, 2025 | 489.36 Mn |
| Aug 2, 2025 | 494.56 Mn |
| May 3, 2025 | 486.58 Mn |
| Feb 1, 2025 | 475.14 Mn |
| Nov 2, 2024 | 488.77 Mn |
| Aug 3, 2024 | 496.53 Mn |
| May 4, 2024 | 494.78 Mn |
| Feb 3, 2024 | 458.64 Mn |
| Oct 28, 2023 | 453.57 Mn |
| Jul 29, 2023 | 487.69 Mn |
| Apr 29, 2023 | 438.95 Mn |
| Jan 28, 2023 | 464.21 Mn |
| Oct 29, 2022 | 460.75 Mn |
| Jul 30, 2022 | 430.88 Mn |
| Apr 30, 2022 | 406.02 Mn |
| Jan 29, 2022 | 359.73 Mn |
| Oct 30, 2021 | 353.96 Mn |
API Access
Shoe Station Total Liabilities 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=total-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();