Ross Stores (ROST) Price to Earnings (2010 - 2026)
Ross Stores' (ROST) Price to Earnings was 30.18 for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 39.6% from 21.62 a year earlier but down 4.9% from the prior quarter.
Ross Stores (ROST) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Price to Earnings at Ross Stores was 28.35, up 19.7% from FY2025.
- By fiscal year, Price to Earnings came in at 23.68 in FY2025 (-7.8%), 25.69 in FY2024 (-5.1%), 27.08 in FY2023 (+38.5%) and 19.55 in FY2022 (-95.8%).
- Five-year quarterly Price to Earnings spans a low of 19.15 in fiscal Q2 2023 and a high of 31.72 in fiscal Q1 2027.
- Year over year, Price to Earnings has now increased in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was fiscal Q1 2027 (growth of 43.6%); the low point was fiscal Q4 2022 (a decline of 95.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 31.72 (Q1 2027), 28.35 (Q4 2026) and 24.66 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 30.18 |
| May 2, 2026 | 31.72 |
| Jan 31, 2026 | 28.35 |
| Nov 1, 2025 | 24.66 |
| Aug 2, 2025 | 21.62 |
| May 3, 2025 | 22.09 |
| Feb 1, 2025 | 23.68 |
| Nov 2, 2024 | 21.88 |
| Aug 3, 2024 | 22.47 |
| May 4, 2024 | 21.94 |
| Feb 3, 2024 | 25.69 |
| Oct 28, 2023 | 22.20 |
| Jul 29, 2023 | 24.18 |
| Apr 29, 2023 | 23.56 |
| Jan 28, 2023 | 27.08 |
| Oct 29, 2022 | 22.96 |
| Jul 30, 2022 | 19.15 |
| Apr 30, 2022 | 22.06 |
| Jan 29, 2022 | 19.55 |
| Oct 30, 2021 | 25.12 |
Ross Stores Price to 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=price-to-earnings&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-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=price-to-earnings&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();