Shoe Station (SHOE) Cash from Operations (2011 - 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 (2011 - 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 | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 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 |
| Feb 3, 2024 | 53.41 Mn |
| Oct 28, 2023 | 47.00 Mn |
| Jul 29, 2023 | 20.30 Mn |
| Apr 29, 2023 | 2.05 Mn |
| Jan 28, 2023 | 31.49 Mn |
| Oct 29, 2022 | 10.03 Mn |
| Jul 30, 2022 | -8.79 Mn |
| Apr 30, 2022 | 17.70 Mn |
| Jan 29, 2022 | 27.42 Mn |
| Oct 30, 2021 | 40.63 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();