Shoe Station (SHOE) Payables (2010 - 2026)
Shoe Station (SHOE) recorded Payables of $72.22 million in 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) Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station reported Payables of $79.17 million, up 52.2% from FY2025.
- Annual Payables has a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- Across earlier fiscal years, 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%).
- Quarterly Payables has ranged from $42.94 million in fiscal Q3 2024 to $116.84 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Payables rose in four of the last eight quarters, with growth averaging 9.9%.
- Peak year-over-year performance for Payables in the last five years was growth of 52.2% in fiscal Q4 2026, against a decline of 52.2% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters 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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 1.72 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Shoe Station | 355.29 Mn | -144.09 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 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=payables&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();