Shoe Station (SHOE) Capital Expenditures (2011 - 2026)
Shoe Station's Capital Expenditures was $4.52 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 59.1% from $11.06 million a year earlier and down 56.7% from the prior quarter.
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Analysis
Shoe Station (SHOE) Capital Expenditures (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shoe Station's Capital Expenditures was $35.26 million through Aug 1, 2026, down 15.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $44.72 million, up 34.8% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of 29.3% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $33.16 million in FY2025 (-41.1%), $56.28 million in FY2024 (-27.2%), $77.29 million in FY2023 (+146.3%) and $31.39 million in FY2022 (+153.2%).
- The fiscal Q2 2027 figure marks the lowest quarterly Capital Expenditures since fiscal Q1 2022.
- Compared with a year earlier, Capital Expenditures has declined for three straight quarters, with growth averaging 2.0% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2023 (growth of 559.0%); the worst was fiscal Q2 2025 (a decline of 64.6%).
- Per Business Quant data, SHOE's Capital Expenditures in the three fiscal quarters before Q2 2027 was $10.44 million (Q1 2027), $6.38 million (Q4 2026) and $13.93 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 4.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.52 Mn |
| May 2, 2026 | 10.44 Mn |
| Jan 31, 2026 | 6.38 Mn |
| Nov 1, 2025 | 13.93 Mn |
| Aug 2, 2025 | 11.06 Mn |
| May 3, 2025 | 13.35 Mn |
| Feb 1, 2025 | 8.38 Mn |
| Nov 2, 2024 | 9.06 Mn |
| Aug 3, 2024 | 5.53 Mn |
| May 4, 2024 | 10.19 Mn |
| Feb 3, 2024 | 12.68 Mn |
| Oct 28, 2023 | 12.97 Mn |
| Jul 29, 2023 | 15.62 Mn |
| Apr 29, 2023 | 15.01 Mn |
| Jan 28, 2023 | 13.65 Mn |
| Oct 29, 2022 | 13.45 Mn |
| Jul 30, 2022 | 23.29 Mn |
| Apr 30, 2022 | 26.91 Mn |
| Jan 29, 2022 | 11.04 Mn |
| Oct 30, 2021 | 8.21 Mn |
API Access
Shoe Station Capital Expenditures 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=capital-expenditures&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();