Shoe Station (SHOE) EBITDA (2011 - 2026)
Shoe Station (SHOE) reported EBITDA of $16.04 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 52.3% from $33.65 million a year earlier but up 438.3% from the prior quarter.
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Analysis
Shoe Station (SHOE) EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Shoe Station's EBITDA came in at $66.18 million, down 39.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $101.11 million, down 17.3% from FY2025.
- EBITDA has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 21.6% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $122.22 million in FY2025 (-0.1%), $122.3 million in FY2024 (-27.9%), $169.64 million in FY2023 (-25.1%) and $226.41 million in FY2022 (+496.1%).
- Five-year quarterly EBITDA spans a low of $2.98 million in fiscal Q1 2027 and a high of $67.19 million in fiscal Q3 2022.
- Year over year, EBITDA has now declined in each of the last eight quarters, with an average decline of 29.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2022 (growth of 176.1%); the low point was fiscal Q1 2027 (a decline of 85.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.98 million (Q1 2027), $19.95 million (Q4 2026) and $27.21 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn | 16.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.04 Mn |
| May 2, 2026 | 2.98 Mn |
| Jan 31, 2026 | 19.95 Mn |
| Nov 1, 2025 | 27.21 Mn |
| Aug 2, 2025 | 33.65 Mn |
| May 3, 2025 | 20.30 Mn |
| Feb 1, 2025 | 22.34 Mn |
| Nov 2, 2024 | 32.18 Mn |
| Aug 3, 2024 | 37.81 Mn |
| May 4, 2024 | 29.89 Mn |
| Feb 3, 2024 | 27.57 Mn |
| Oct 28, 2023 | 35.31 Mn |
| Jul 29, 2023 | 31.79 Mn |
| Apr 29, 2023 | 27.64 Mn |
| Jan 28, 2023 | 35.27 Mn |
| Oct 29, 2022 | 49.78 Mn |
| Jul 30, 2022 | 44.53 Mn |
| Apr 30, 2022 | 40.06 Mn |
| Jan 29, 2022 | 32.98 Mn |
| Oct 30, 2021 | 67.19 Mn |
API Access
Shoe Station EBITDA 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=ebitda&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();