Shoe Station (SHOE) Accounts Payables (2010 - 2026)
Shoe Station (SHOE) reported Accounts Payables of $72.22 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.2% from $68.66 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Shoe Station (SHOE) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station posted Accounts Payables of $79.17 million, up 52.2% from FY2025.
- Accounts Payables has a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- By fiscal year, Accounts Payables came in at $52.03 million in FY2025 (-10.7%), $58.27 million in FY2024 (-26.1%), $78.85 million in FY2023 (+14.1%) and $69.09 million in FY2022 (+19.7%).
- Five-year quarterly Accounts Payables spans a low of $42.94 million in fiscal Q3 2024 and a high of $116.84 million in fiscal Q1 2023.
- Year over year, Accounts Payables gained in four of the last eight quarters, with growth averaging 9.9%.
- The high point for year-over-year Accounts Payables in five years was fiscal Q4 2026 (growth of 52.2%); the low point was fiscal Q1 2024 (a decline of 52.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $65.29 million (Q1 2027), $79.17 million (Q4 2026) and $65.85 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 72.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 72.22 Mn |
| May 2, 2026 | 65.29 Mn |
| Jan 31, 2026 | 79.17 Mn |
| Nov 1, 2025 | 65.85 Mn |
| Aug 2, 2025 | 68.66 Mn |
| May 3, 2025 | 66.59 Mn |
| Feb 1, 2025 | 52.03 Mn |
| Nov 2, 2024 | 57.28 Mn |
| Aug 3, 2024 | 73.92 Mn |
| May 4, 2024 | 71.23 Mn |
| Feb 3, 2024 | 58.27 Mn |
| Oct 28, 2023 | 42.94 Mn |
| Jul 29, 2023 | 77.43 Mn |
| Apr 29, 2023 | 55.85 Mn |
| Jan 28, 2023 | 78.85 Mn |
| Oct 29, 2022 | 88.33 Mn |
| Jul 30, 2022 | 113.83 Mn |
| Apr 30, 2022 | 116.84 Mn |
| Jan 29, 2022 | 69.09 Mn |
| Oct 30, 2021 | 65.59 Mn |
API Access
Shoe Station Accounts Payables 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=accounts-payables&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();