Shoe Station (SHOE) Cost of Revenue (2011 - 2026)
Shoe Station's Cost of Revenue was $193.7 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.3% from $187.58 million a year earlier and up 7.2% from the prior quarter.
Shoe Station (SHOE) Cost of Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shoe Station's Cost of Revenue was $724.98 million through Aug 1, 2026, down 1.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $720.17 million, down 7.0% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $774.09 million in FY2025 (+2.6%), $754.49 million in FY2024 (-5.0%), $794.07 million in FY2023 (-1.2%) and $803.61 million in FY2022 (+15.3%).
- The fiscal Q2 2027 figure marks the highest quarterly Cost of Revenue since fiscal Q3 2025.
- Compared with a year earlier, Cost of Revenue was higher in 1 of the last eight quarters, with an average decline of 4.0%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q3 2022 (growth of 13.6%); the worst was fiscal Q2 2026 (a decline of 11.8%).
- Per Business Quant data, SHOE's Cost of Revenue in the three fiscal quarters before Q2 2027 was $180.63 million (Q1 2027), $165.34 million (Q4 2026) and $185.32 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Shoe Station | 341.97 Mn | -157.41 Mn | 90.61 Mn | 193.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 193.70 Mn |
| May 2, 2026 | 180.63 Mn |
| Jan 31, 2026 | 165.34 Mn |
| Nov 1, 2025 | 185.32 Mn |
| Aug 2, 2025 | 187.58 Mn |
| May 3, 2025 | 181.94 Mn |
| Feb 1, 2025 | 171.27 Mn |
| Nov 2, 2024 | 196.50 Mn |
| Aug 3, 2024 | 212.75 Mn |
| May 4, 2024 | 193.57 Mn |
| Feb 3, 2024 | 180.46 Mn |
| Oct 28, 2023 | 202.21 Mn |
| Jul 29, 2023 | 189.15 Mn |
| Apr 29, 2023 | 182.67 Mn |
| Jan 28, 2023 | 179.46 Mn |
| Oct 29, 2022 | 210.81 Mn |
| Jul 30, 2022 | 199.14 Mn |
| Apr 30, 2022 | 204.66 Mn |
| Jan 29, 2022 | 196.55 Mn |
| Oct 30, 2021 | 212.28 Mn |
Shoe Station Cost of Revenue 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=cost-of-revenue&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();