Shoe Station (SHOE) Other Non-Current Liabilities (2010 - 2026)
Shoe Station (SHOE) posted Other Non-Current Liabilities of $13.08 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 27.7% from $10.24 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Shoe Station (SHOE) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station's Other Non-Current Liabilities came in at $12.11 million, up 21.0% from FY2025.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -5.4% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Other Non-Current Liabilities was $10.01 million in FY2025 (-14.0%), $11.64 million in FY2024 (+18.3%), $9.84 million in FY2023 (-9.7%) and $10.9 million in FY2022 (-31.9%).
- The fiscal Q2 2027 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2025, with growth of 37.7%; the weakest was fiscal Q4 2022, with a decline of 31.9%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $12.68 million (Q1 2027), $12.11 million (Q4 2026) and $10.99 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 13.08 Mn |
| May 2, 2026 | 12.68 Mn |
| Jan 31, 2026 | 12.11 Mn |
| Nov 1, 2025 | 10.99 Mn |
| Aug 2, 2025 | 10.24 Mn |
| May 3, 2025 | 9.54 Mn |
| Feb 1, 2025 | 10.01 Mn |
| Nov 2, 2024 | 13.45 Mn |
| Aug 3, 2024 | 12.56 Mn |
| May 4, 2024 | 12.16 Mn |
| Feb 3, 2024 | 11.64 Mn |
| Oct 28, 2023 | 9.77 Mn |
| Jul 29, 2023 | 10.60 Mn |
| Apr 29, 2023 | 9.81 Mn |
| Jan 28, 2023 | 9.84 Mn |
| Oct 29, 2022 | 10.40 Mn |
| Jul 30, 2022 | 10.78 Mn |
| Apr 30, 2022 | 10.48 Mn |
| Jan 29, 2022 | 10.90 Mn |
| Oct 30, 2021 | 11.94 Mn |
API Access
Shoe Station Other 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=other-non-current-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();