Shoe Station (SHOE) Retained Earnings (2010 - 2026)
Shoe Station (SHOE) posted Retained Earnings of $799.92 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.8% from $793.52 million a year earlier and up 0.2% from the prior quarter.
Shoe Station (SHOE) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Shoe Station's Retained Earnings came in at $808.81 million, up 4.6% from FY2025.
- Annual Retained Earnings has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 14.7% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Retained Earnings was $773.35 million in FY2025 (+8.2%), $714.65 million in FY2024 (+9.4%), $653.45 million in FY2023 (+18.1%) and $553.49 million in FY2022 (+36.1%).
- Quarterly Retained Earnings has run from a low of $534.9 million in fiscal Q3 2022 to a high of $808.81 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last 31 quarters, with growth averaging 5.4% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 0.8% (fiscal Q2 2027) and 36.1% (fiscal Q4 2022) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $798.37 million (Q1 2027), $808.81 million (Q4 2026) and $803.95 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -3.75 Bn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 799.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 799.92 Mn |
| May 2, 2026 | 798.37 Mn |
| Jan 31, 2026 | 808.81 Mn |
| Nov 1, 2025 | 803.95 Mn |
| Aug 2, 2025 | 793.52 Mn |
| May 3, 2025 | 778.52 Mn |
| Feb 1, 2025 | 773.35 Mn |
| Nov 2, 2024 | 762.49 Mn |
| Aug 3, 2024 | 747.00 Mn |
| May 4, 2024 | 728.18 Mn |
| Feb 3, 2024 | 714.65 Mn |
| Oct 28, 2023 | 702.43 Mn |
| Jul 29, 2023 | 683.88 Mn |
| Apr 29, 2023 | 667.20 Mn |
| Jan 28, 2023 | 653.45 Mn |
| Oct 29, 2022 | 634.32 Mn |
| Jul 30, 2022 | 604.19 Mn |
| Apr 30, 2022 | 577.82 Mn |
| Jan 29, 2022 | 553.49 Mn |
| Oct 30, 2021 | 534.90 Mn |
Shoe Station Retained Earnings 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=retained-earnings&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();