Ross Stores (ROST) Retained Earnings (2009 - 2026)
Ross Stores (ROST) recorded Retained Earnings of $5.32 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 22.4% from $4.34 billion a year earlier and up 8.0% from the prior quarter.
Ross Stores (ROST) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ross Stores reported Retained Earnings of $4.73 billion, up 14.5% from FY2025.
- Annual Retained Earnings has increased for five straight fiscal years, with a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $4.13 billion in FY2025 (+16.3%), $3.55 billion in FY2024 (+16.4%), $3.05 billion in FY2023 (+6.1%) and $2.87 billion in FY2022 (+31.5%).
- The fiscal Q2 2027 figure is the highest quarterly Retained Earnings in data going back to fiscal Q1 2010.
- On a year-over-year basis, Retained Earnings has increased for 22 consecutive quarters, with growth averaging 16.5% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 3.5% (fiscal Q3 2023) and 45.5% (fiscal Q3 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $4.92 billion (Q1 2027), $4.73 billion (Q4 2026) and $4.47 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 5.32 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | -3.42 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 10.89 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | -3.75 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 551.00 Mn |
| 10 | JD.com | 38.09 Bn | -82.11 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.32 Bn |
| May 2, 2026 | 4.92 Bn |
| Jan 31, 2026 | 4.73 Bn |
| Nov 1, 2025 | 4.47 Bn |
| Aug 2, 2025 | 4.34 Bn |
| May 3, 2025 | 4.22 Bn |
| Feb 1, 2025 | 4.13 Bn |
| Nov 2, 2024 | 3.92 Bn |
| Aug 3, 2024 | 3.81 Bn |
| May 4, 2024 | 3.66 Bn |
| Feb 3, 2024 | 3.55 Bn |
| Oct 28, 2023 | 3.29 Bn |
| Jul 29, 2023 | 3.19 Bn |
| Apr 29, 2023 | 3.08 Bn |
| Jan 28, 2023 | 3.05 Bn |
| Oct 29, 2022 | 2.93 Bn |
| Jul 30, 2022 | 2.93 Bn |
| Apr 30, 2022 | 2.88 Bn |
| Jan 29, 2022 | 2.87 Bn |
| Oct 30, 2021 | 2.83 Bn |
Ross Stores 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=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "ROST", "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=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();