Shoe Station (SHOE) Cash from Operations (2009 - 2026)
Shoe Station's Cash from Operations came in at $11.05 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 16.6% from $13.26 million a year earlier and down 52.1% from the prior quarter.
Shoe Station (SHOE) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Shoe Station reported Cash from Operations of $101.81 million, up 55.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $71.3 million, down 30.5% from FY2025.
- Cash from Operations carries a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- Going back by fiscal year, Cash from Operations was $102.64 million in FY2025 (-16.4%), $122.76 million in FY2024 (+143.4%), $50.44 million in FY2023 (-65.9%) and $147.89 million in FY2022 (+133.3%).
- The fiscal Q2 2027 figure represents the lowest quarterly Cash from Operations since fiscal Q1 2026.
- Year-over-year, Cash from Operations increased in 1 of the last six quarters, with an average decline of 11.7%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q1 2025 (growth of 731.3%), and the weakest in fiscal Q1 2024 (a decline of 88.4%).
- Business Quant data shows SHOE's Cash from Operations at $23.08 million (Q1 2027), $34.04 million (Q4 2026) and $33.64 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 42.42 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 555.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 875.76 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 3.80 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 558.74 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 1.13 Bn |
| 10 | Shoe Station | 396.07 Mn | -103.31 Mn | 90.61 Mn | 11.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 11.05 Mn |
| May 2, 2026 | 23.08 Mn |
| Jan 31, 2026 | 34.04 Mn |
| Nov 1, 2025 | 33.64 Mn |
| Aug 2, 2025 | 13.26 Mn |
| May 3, 2025 | -9.64 Mn |
| Feb 1, 2025 | 44.55 Mn |
| Nov 2, 2024 | 17.35 Mn |
| Aug 3, 2024 | 23.68 Mn |
| May 4, 2024 | 17.06 Mn |
| Jul 29, 2023 | 20.30 Mn |
| Apr 29, 2023 | 2.05 Mn |
| Jul 30, 2022 | -8.79 Mn |
| Apr 30, 2022 | 17.70 Mn |
| Jan 29, 2022 | 27.42 Mn |
| Oct 30, 2021 | 111.56 Mn |
| May 1, 2021 | 76.52 Mn |
| Jan 30, 2021 | 63.23 Mn |
| Oct 31, 2020 | -26.04 Mn |
| Aug 1, 2020 | 69.07 Mn |
Shoe Station Cash from Operations 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=cash-from-operations&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();