Shoe Station (SHOE) Cash & Equivalents (2010 - 2026)
Shoe Station (SHOE) reported Cash & Equivalents of $118.01 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 49.9% from $78.72 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Shoe Station (SHOE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station posted Cash & Equivalents of $117.09 million, up 7.7% from FY2025.
- Cash & Equivalents has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $108.7 million in FY2025 (+9.8%), $99 million in FY2024 (+92.6%), $51.4 million in FY2023 (-56.2%) and $117.44 million in FY2022 (+10.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q3 2022.
- Year over year, Cash & Equivalents has now increased in each of the last 12 quarters, with growth averaging 26.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2022 (growth of 270.9%); the low point was fiscal Q3 2023 (a decline of 78.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $116.1 million (Q1 2027), $117.09 million (Q4 2026) and $94.37 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Shoe Station | 341.97 Mn | -157.41 Mn | 90.61 Mn | 118.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 118.01 Mn |
| May 2, 2026 | 116.10 Mn |
| Jan 31, 2026 | 117.09 Mn |
| Nov 1, 2025 | 94.37 Mn |
| Aug 2, 2025 | 78.72 Mn |
| May 3, 2025 | 78.48 Mn |
| Feb 1, 2025 | 108.70 Mn |
| Nov 2, 2024 | 77.24 Mn |
| Aug 3, 2024 | 71.63 Mn |
| May 4, 2024 | 56.92 Mn |
| Feb 3, 2024 | 99.00 Mn |
| Oct 28, 2023 | 59.90 Mn |
| Jul 29, 2023 | 34.56 Mn |
| Apr 29, 2023 | 32.59 Mn |
| Jan 28, 2023 | 51.40 Mn |
| Oct 29, 2022 | 37.17 Mn |
| Jul 30, 2022 | 51.62 Mn |
| Apr 30, 2022 | 86.18 Mn |
| Jan 29, 2022 | 117.44 Mn |
| Oct 30, 2021 | 173.36 Mn |
API Access
Shoe Station Cash & Equivalents 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-and-equivalents&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();