Shoe Station (SHOE) Tax Provisions (2011 - 2026)
Shoe Station (SHOE) reported Tax Provisions of $2.28 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 66.1% from $6.71 million a year earlier but up 300.9% from the prior quarter.
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Analysis
Shoe Station (SHOE) Tax Provisions (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Shoe Station's Tax Provisions came in at $10.61 million, down 47.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $18.12 million, down 23.6% from FY2025.
- Tax Provisions has a five-year compound annual growth rate of 26.7% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $23.72 million in FY2025 (+4.1%), $22.79 million in FY2024 (-38.5%), $37.05 million in FY2023 (-29.2%) and $52.32 million in FY2022 (+841.2%).
- Five-year quarterly Tax Provisions spans a low of $568,000 in fiscal Q1 2027 and a high of $15.48 million in fiscal Q3 2022.
- Year over year, Tax Provisions has now declined in each of the last eight quarters, with an average decline of 36.4% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2022 (growth of 188.3%); the low point was fiscal Q1 2027 (a decline of 84.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $568,000 (Q1 2027), $2.76 million (Q4 2026) and $5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 2.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.28 Mn |
| May 2, 2026 | 568,000.00 |
| Jan 31, 2026 | 2.76 Mn |
| Nov 1, 2025 | 5.00 Mn |
| Aug 2, 2025 | 6.71 Mn |
| May 3, 2025 | 3.65 Mn |
| Feb 1, 2025 | 3.50 Mn |
| Nov 2, 2024 | 6.30 Mn |
| Aug 3, 2024 | 8.04 Mn |
| May 4, 2024 | 5.89 Mn |
| Feb 3, 2024 | 5.55 Mn |
| Oct 28, 2023 | 6.84 Mn |
| Jul 29, 2023 | 5.58 Mn |
| Apr 29, 2023 | 4.83 Mn |
| Jan 28, 2023 | 7.42 Mn |
| Oct 29, 2022 | 11.26 Mn |
| Jul 30, 2022 | 9.95 Mn |
| Apr 30, 2022 | 8.42 Mn |
| Jan 29, 2022 | 7.21 Mn |
| Oct 30, 2021 | 15.48 Mn |
API Access
Shoe Station Tax Provisions 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=tax-provisions&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();