Shoe Station (SHOE) Enterprise Value (2011 - 2026)
Shoe Station (SHOE) posted Enterprise Value of $281.55 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 38.4% from $456.91 million a year earlier and down 24.1% from the prior quarter.
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Analysis
Shoe Station (SHOE) Enterprise Value (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Enterprise Value at Shoe Station was -$86.19 million; for FY2026 (ended Jan 31, 2026), it came in at $392.84 million, down 35.8% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -6.7% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Enterprise Value was $612.21 million in FY2025 (+1.7%), $601.79 million in FY2024 (-12.2%), $685.74 million in FY2023 (-14.1%) and $798.3 million in FY2022 (+43.5%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Enterprise Value since fiscal Q2 2021.
- On a year-over-year basis, Enterprise Value has declined in each of the last six quarters, with an average decline of 23.4% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2022, with growth of 95.5%; the weakest was fiscal Q1 2026, with a decline of 53.6%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $371.05 million (Q1 2027), $392.84 million (Q4 2026) and $394.12 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Shoe Station | 355.29 Mn | -144.09 Mn | 90.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 281.55 Mn |
| May 2, 2026 | 371.05 Mn |
| Jan 31, 2026 | 392.84 Mn |
| Nov 1, 2025 | 394.12 Mn |
| Aug 2, 2025 | 456.91 Mn |
| May 3, 2025 | 403.46 Mn |
| Feb 1, 2025 | 612.21 Mn |
| Nov 2, 2024 | 836.92 Mn |
| Aug 3, 2024 | 954.66 Mn |
| May 4, 2024 | 870.20 Mn |
| Feb 3, 2024 | 601.79 Mn |
| Oct 28, 2023 | 550.73 Mn |
| Jul 29, 2023 | 674.62 Mn |
| Apr 29, 2023 | 591.43 Mn |
| Jan 28, 2023 | 685.74 Mn |
| Oct 29, 2022 | 599.31 Mn |
| Jul 30, 2022 | 539.65 Mn |
| Apr 30, 2022 | 735.72 Mn |
| Jan 29, 2022 | 798.30 Mn |
| Oct 30, 2021 | 762.76 Mn |
API Access
Shoe Station Enterprise Value 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=enterprise-value&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();