Shoe Station (SHOE) EBITDA Margin (2011 - 2026)
Shoe Station (SHOE) reported EBITDA Margin of 5.64% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.34 percentage points from 10.98% a year earlier but up 4.54 percentage points from the prior quarter.
Shoe Station (SHOE) EBITDA Margin (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Shoe Station's EBITDA Margin came in at 5.98%, down 3.42 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 8.91%, down 1.25 percentage points from FY2025.
- EBITDA Margin has declined for four consecutive fiscal years, though with a five-year change of +5.02 percentage points (FY2021 to FY2026).
- By fiscal year, EBITDA Margin came in at 10.16% in FY2025 (-0.24 pp), 10.40% in FY2024 (-3.04 pp), 13.44% in FY2023 (-3.58 pp) and 17.02% in FY2022 (+13.13 pp).
- Five-year quarterly EBITDA Margin spans a low of 1.10% in fiscal Q1 2027 and a high of 18.85% in fiscal Q3 2022.
- Year over year, EBITDA Margin has now declined in each of the last eight quarters, with an average year-over-year change of -2.31 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2022 (a gain of 9.99 percentage points); the low point was fiscal Q1 2023 (a drop of 6.23 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 1.10% (Q1 2027), 7.85% (Q4 2026) and 9.16% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.39% |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 5.64% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.64% |
| May 2, 2026 | 1.10% |
| Jan 31, 2026 | 7.85% |
| Nov 1, 2025 | 9.16% |
| Aug 2, 2025 | 10.98% |
| May 3, 2025 | 7.31% |
| Feb 1, 2025 | 8.50% |
| Nov 2, 2024 | 10.48% |
| Aug 3, 2024 | 11.36% |
| May 4, 2024 | 9.95% |
| Feb 3, 2024 | 9.84% |
| Oct 28, 2023 | 11.04% |
| Jul 29, 2023 | 10.79% |
| Apr 29, 2023 | 9.83% |
| Jan 28, 2023 | 12.13% |
| Oct 29, 2022 | 14.57% |
| Jul 30, 2022 | 14.26% |
| Apr 30, 2022 | 12.62% |
| Jan 29, 2022 | 10.52% |
| Oct 30, 2021 | 18.85% |
Shoe Station EBITDA Margin 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-margin&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();