Ross Stores (ROST) Market Capitalization (2009 - 2026)
Ross Stores (ROST) posted Market Capitalization of $80.26 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 79.9% from $44.6 billion a year earlier and up 9.2% from the prior quarter.
Ross Stores (ROST) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Ross Stores' Market Capitalization came in at $60.81 billion, up 22.8% from FY2025.
- Annual Market Capitalization has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In prior fiscal years, Ross Stores' Market Capitalization was $49.51 billion in FY2025 (+2.8%), $48.16 billion in FY2024 (+17.6%), $40.95 billion in FY2023 (+21.6%) and $33.68 billion in FY2022 (-15.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly Market Capitalization in data going back to fiscal Q1 2010.
- On a year-over-year basis, Market Capitalization has increased in each of the last four quarters, with growth averaging 24.9% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q2 2027, with growth of 79.9%; the weakest was fiscal Q2 2023, with a decline of 35.3%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $73.47 billion (Q1 2027), $60.81 billion (Q4 2026) and $51.45 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 80.26 Bn |
| May 2, 2026 | 73.47 Bn |
| Jan 31, 2026 | 60.81 Bn |
| Nov 1, 2025 | 51.45 Bn |
| Aug 2, 2025 | 44.60 Bn |
| May 3, 2025 | 45.99 Bn |
| Feb 1, 2025 | 49.51 Bn |
| Nov 2, 2024 | 46.26 Bn |
| Aug 3, 2024 | 46.57 Bn |
| May 4, 2024 | 43.69 Bn |
| Feb 3, 2024 | 48.16 Bn |
| Oct 28, 2023 | 38.00 Bn |
| Jul 29, 2023 | 38.85 Bn |
| Apr 29, 2023 | 36.40 Bn |
| Jan 28, 2023 | 40.95 Bn |
| Oct 29, 2022 | 32.88 Bn |
| Jul 30, 2022 | 28.24 Bn |
| Apr 30, 2022 | 34.95 Bn |
| Jan 29, 2022 | 33.68 Bn |
| Oct 30, 2021 | 40.04 Bn |
Ross Stores Market Capitalization 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=market-capitalization&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();