Shoe Station (SHOE) EBIT (2011 - 2026)
Shoe Station (SHOE) posted EBIT of $7.62 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 69.8% from $25.23 million a year earlier.
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Analysis
Shoe Station (SHOE) EBIT (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBIT at Shoe Station was $31.14 million, down 58.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $66.76 million, down 26.8% from FY2025.
- Annual EBIT has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 25.0% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's EBIT was $91.15 million in FY2025 (-2.5%), $93.51 million in FY2024 (-36.1%), $146.44 million in FY2023 (-29.5%) and $207.65 million in FY2022 (+849.7%).
- Quarterly EBIT has run from a low of -$6.04 million in fiscal Q1 2027 to a high of $62.42 million in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q3 2022, with growth of 209.6%; the weakest was fiscal Q2 2027, with a decline of 69.8%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was -$6.04 million (Q1 2027), $10.94 million (Q4 2026) and $18.62 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn | 7.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.62 Mn |
| May 2, 2026 | -6.04 Mn |
| Jan 31, 2026 | 10.94 Mn |
| Nov 1, 2025 | 18.62 Mn |
| Aug 2, 2025 | 25.23 Mn |
| May 3, 2025 | 11.97 Mn |
| Feb 1, 2025 | 14.04 Mn |
| Nov 2, 2024 | 24.53 Mn |
| Aug 3, 2024 | 30.08 Mn |
| May 4, 2024 | 22.51 Mn |
| Feb 3, 2024 | 19.97 Mn |
| Oct 28, 2023 | 27.94 Mn |
| Jul 29, 2023 | 24.66 Mn |
| Apr 29, 2023 | 20.94 Mn |
| Jan 28, 2023 | 28.69 Mn |
| Oct 29, 2022 | 43.58 Mn |
| Jul 30, 2022 | 38.79 Mn |
| Apr 30, 2022 | 35.38 Mn |
| Jan 29, 2022 | 27.91 Mn |
| Oct 30, 2021 | 62.42 Mn |
API Access
Shoe Station EBIT 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=ebit&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();