Shoe Station (SHOE) Net Cash Flow (2011 - 2026)
Shoe Station's Net Cash Flow came in at $1.91 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 686.8% from $243,000 a year earlier.
Shoe Station (SHOE) Net Cash Flow (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Shoe Station reported Net Cash Flow of $39.29 million, up 454.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $8.41 million, down 13.1% from FY2025.
- Net Cash Flow carries a five-year compound annual growth rate of -28.4% (FY2021 to FY2026).
- Going back by fiscal year, Net Cash Flow was $9.68 million in FY2025 (-79.7%), $47.63 million in FY2024, -$66.07 million in FY2023 and $10.91 million in FY2022 (-75.6%).
- The five-year range for quarterly Net Cash Flow is -$55.92 million (fiscal Q4 2022) to $39.11 million (fiscal Q4 2024).
- Year-over-year, Net Cash Flow increased in two of the last six quarters, with growth averaging 107.1%.
- The fastest year-over-year change in Net Cash Flow over five years came in fiscal Q2 2027 (growth of 686.8%), and the weakest in fiscal Q2 2026 (a decline of 98.3%).
- Business Quant data shows SHOE's Net Cash Flow at -$991,000 (Q1 2027), $22.72 million (Q4 2026) and $15.65 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -23.71 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 450.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 157.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 8.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 231.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -31.26 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 1.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.91 Mn |
| May 2, 2026 | -991,000.00 |
| Jan 31, 2026 | 22.72 Mn |
| Nov 1, 2025 | 15.65 Mn |
| Aug 2, 2025 | 243,000.00 |
| May 3, 2025 | -30.20 Mn |
| Feb 1, 2025 | 31.45 Mn |
| Nov 2, 2024 | 5.60 Mn |
| Aug 3, 2024 | 14.71 Mn |
| May 4, 2024 | -42.08 Mn |
| Feb 3, 2024 | 39.11 Mn |
| Oct 28, 2023 | 25.33 Mn |
| Jul 29, 2023 | 1.98 Mn |
| Apr 29, 2023 | -18.79 Mn |
| Jan 28, 2023 | 14.20 Mn |
| Oct 29, 2022 | -14.45 Mn |
| Jul 30, 2022 | -34.56 Mn |
| Apr 30, 2022 | -31.26 Mn |
| Jan 29, 2022 | -55.92 Mn |
| Oct 30, 2021 | 26.86 Mn |
Shoe Station Net Cash Flow 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=net-cash-flow&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();