Shoe Station (SHOE) Total Non-Current Liabilities (2010 - 2026)
Shoe Station's Total Non-Current Liabilities was $477.75 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.4% from $484.32 million a year earlier but up 1.0% from the prior quarter.
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Analysis
Shoe Station (SHOE) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Shoe Station came in at $499.96 million, up 7.5% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $465.13 million in FY2025 (+4.1%), $447 million in FY2024 (-1.6%), $454.37 million in FY2023 (+30.3%) and $348.83 million in FY2022 (+10.2%).
- Quarterly Total Non-Current Liabilities has moved between $342.02 million (fiscal Q3 2022) and $499.96 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2023 (growth of 31.7%); the worst was fiscal Q4 2024 (a decline of 1.6%).
- Per Business Quant data, SHOE's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $472.99 million (Q1 2027), $499.96 million (Q4 2026) and $478.38 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Shoe Station | 358.99 Mn | -140.39 Mn | 90.61 Mn | 476.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 476.68 Mn |
| May 2, 2026 | 471.97 Mn |
| Jan 31, 2026 | 498.67 Mn |
| Nov 1, 2025 | 477.41 Mn |
| Aug 2, 2025 | 483.45 Mn |
| May 3, 2025 | 476.26 Mn |
| Feb 1, 2025 | 464.28 Mn |
| Nov 2, 2024 | 471.08 Mn |
| Aug 3, 2024 | 479.76 Mn |
| May 4, 2024 | 478.50 Mn |
| Feb 3, 2024 | 446.57 Mn |
| Oct 28, 2023 | 443.40 Mn |
| Jul 29, 2023 | 476.72 Mn |
| Apr 29, 2023 | 428.94 Mn |
| Jan 28, 2023 | 454.20 Mn |
| Oct 29, 2022 | 450.03 Mn |
| Jul 30, 2022 | 419.79 Mn |
| Apr 30, 2022 | 395.20 Mn |
| Jan 29, 2022 | 348.50 Mn |
| Oct 30, 2021 | 339.19 Mn |
API Access
Shoe Station Total Non-Current 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-non-current-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();