Shoe Station (SHOE) Selling, General & Administrative (2011 - 2026)
Shoe Station (SHOE) reported Selling, General & Administrative of $83 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 11.3% from $93.58 million a year earlier and down 13.7% from the prior quarter.
Shoe Station (SHOE) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Shoe Station's Selling, General & Administrative came in at $350.13 million, up 2.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $348.39 million, up 3.2% from FY2025.
- Selling, General & Administrative has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $337.64 million in FY2025 (+3.0%), $327.89 million in FY2024 (+1.9%), $321.72 million in FY2023 (+0.8%) and $319.13 million in FY2022 (+23.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $74.34 million in fiscal Q2 2023 and a high of $96.14 million in fiscal Q1 2027.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 1.1%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2022 (growth of 31.5%); the low point was fiscal Q2 2027 (a decline of 11.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $96.14 million (Q1 2027), $77.79 million (Q4 2026) and $93.21 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Shoe Station | 341.97 Mn | -157.41 Mn | 90.61 Mn | 83.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 83.00 Mn |
| May 2, 2026 | 96.14 Mn |
| Jan 31, 2026 | 77.79 Mn |
| Nov 1, 2025 | 93.21 Mn |
| Aug 2, 2025 | 93.58 Mn |
| May 3, 2025 | 83.81 Mn |
| Feb 1, 2025 | 77.63 Mn |
| Nov 2, 2024 | 85.85 Mn |
| Aug 3, 2024 | 89.86 Mn |
| May 4, 2024 | 84.29 Mn |
| Feb 3, 2024 | 79.74 Mn |
| Oct 28, 2023 | 89.77 Mn |
| Jul 29, 2023 | 80.80 Mn |
| Apr 29, 2023 | 77.58 Mn |
| Jan 28, 2023 | 82.63 Mn |
| Oct 29, 2022 | 87.27 Mn |
| Jul 30, 2022 | 74.34 Mn |
| Apr 30, 2022 | 77.48 Mn |
| Jan 29, 2022 | 88.91 Mn |
| Oct 30, 2021 | 81.63 Mn |
Shoe Station Selling, General & Administrative 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=selling-general-and-administrative&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();