Shoe Station (SHOE) Change in Cash (2011 - 2026)
Shoe Station's Change in Cash was $1.91 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 686.8% from $243,000 a year earlier.
Shoe Station (SHOE) Change in Cash (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shoe Station's Change in Cash was $39.29 million through Aug 1, 2026, up 454.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.41 million, down 13.1% from FY2025.
- Change in Cash shows a five-year compound annual growth rate of -28.4% (FY2021 to FY2026).
- In earlier fiscal years, Change in Cash 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%).
- Quarterly Change in Cash has moved between -$55.92 million (fiscal Q4 2022) and $39.11 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Change in Cash was higher in two of the last six quarters, with growth averaging 107.1%.
- The best year-over-year quarter for Change in Cash over five years was fiscal Q2 2027 (growth of 686.8%); the worst was fiscal Q2 2026 (a decline of 98.3%).
- Per Business Quant data, SHOE's Change in Cash in the three fiscal quarters before Q2 2027 was -$991,000 (Q1 2027), $22.72 million (Q4 2026) and $15.65 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | -23.77 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 424.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 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 | 69.40 Bn | 68.49 Bn | 2.52 Bn | 9.55 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 231.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | -31.76 Mn |
| 10 | Shoe Station | 344.96 Mn | -154.42 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 Change in Cash 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=change-in-cash&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();