Ross Stores (ROST) Enterprise Value (2009 - 2026)
Ross Stores' Enterprise Value came in at $75.97 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 86.4% from $40.75 billion a year earlier and up 9.6% from the prior quarter.
Ross Stores (ROST) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ross Stores reported Enterprise Value of $63.18 billion, up 126.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $56.21 billion, up 25.5% from FY2025.
- Enterprise Value has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $44.78 billion in FY2025 (+3.4%), $43.29 billion in FY2024 (+18.9%), $36.4 billion in FY2023 (+26.6%) and $28.76 billion in FY2022 (-17.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q1 2010.
- Year-over-year, Enterprise Value has increased for four consecutive quarters, with growth averaging 27.9% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q2 2027 (growth of 86.4%), and the weakest in fiscal Q2 2023 (a decline of 36.1%).
- Business Quant data shows ROST's Enterprise Value at $69.33 billion (Q1 2027), $56.21 billion (Q4 2026) and $47.39 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 75.97 Bn |
| May 2, 2026 | 69.33 Bn |
| Jan 31, 2026 | 56.21 Bn |
| Nov 1, 2025 | 47.39 Bn |
| Aug 2, 2025 | 40.75 Bn |
| May 3, 2025 | 42.21 Bn |
| Feb 1, 2025 | 44.78 Bn |
| Nov 2, 2024 | 41.91 Bn |
| Aug 3, 2024 | 41.90 Bn |
| May 4, 2024 | 39.04 Bn |
| Feb 3, 2024 | 43.29 Bn |
| Oct 28, 2023 | 33.51 Bn |
| Jul 29, 2023 | 34.27 Bn |
| Apr 29, 2023 | 31.98 Bn |
| Jan 28, 2023 | 36.40 Bn |
| Oct 29, 2022 | 28.97 Bn |
| Jul 30, 2022 | 24.34 Bn |
| Apr 30, 2022 | 30.94 Bn |
| Jan 29, 2022 | 28.76 Bn |
| Oct 30, 2021 | 34.78 Bn |
Ross Stores Enterprise Value 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=enterprise-value&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();