Shoe Station (SHOE) Non Operating Interest Expenses (2011 - 2026)
Shoe Station's Non Operating Interest Expenses came in at $90,000 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.9% from $77,000 a year earlier and up 5.9% from the prior quarter.
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Analysis
Shoe Station (SHOE) Non Operating Interest Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Shoe Station reported Non Operating Interest Expenses of $393,000, up 100.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $373,000, up 18.8% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $314,000 in FY2025 (+11.3%), $282,000 in FY2024 (-4.1%), $294,000 in FY2023 (-38.5%) and $478,000 in FY2022 (+16.0%).
- The five-year range for quarterly Non Operating Interest Expenses is -$98,000 (fiscal Q4 2025) to $140,000 (fiscal Q4 2026).
- Year-over-year, Non Operating Interest Expenses increased in three of the last six quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q1 2025 (growth of 106.1%), and the weakest in fiscal Q3 2023 (a decline of 46.7%).
- Business Quant data shows SHOE's Non Operating Interest Expenses at $85,000 (Q1 2027), $140,000 (Q4 2026) and $78,000 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 90,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 90,000.00 |
| May 2, 2026 | 85,000.00 |
| Jan 31, 2026 | 140,000.00 |
| Nov 1, 2025 | 78,000.00 |
| Aug 2, 2025 | 77,000.00 |
| May 3, 2025 | 78,000.00 |
| Feb 1, 2025 | -98,000.00 |
| Nov 2, 2024 | 139,000.00 |
| Aug 3, 2024 | 137,000.00 |
| May 4, 2024 | 136,000.00 |
| Feb 3, 2024 | 74,000.00 |
| Oct 28, 2023 | 71,000.00 |
| Jul 29, 2023 | 71,000.00 |
| Apr 29, 2023 | 66,000.00 |
| Jan 28, 2023 | 70,000.00 |
| Oct 29, 2022 | 64,000.00 |
| Jul 30, 2022 | 65,000.00 |
| Apr 30, 2022 | 95,000.00 |
| Jan 29, 2022 | 120,000.00 |
| Oct 30, 2021 | 120,000.00 |
API Access
Shoe Station Non Operating Interest Expenses 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-operating-interest-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();