Ross Stores (ROST) EBITDA (2009 - 2026)
Ross Stores (ROST) posted EBITDA of $1.24 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 62.7% from $764.67 million a year earlier and up 32.8% from the prior quarter.
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Analysis
Ross Stores (ROST) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Ross Stores was $3.91 billion, up 28.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.22 billion, up 6.1% from FY2025.
- Annual EBITDA has increased for three consecutive fiscal years.
- In prior fiscal years, Ross Stores' EBITDA was $3.03 billion in FY2025 (+11.2%), $2.73 billion in FY2024 (+14.3%), $2.39 billion in FY2023 and -$11.09 billion in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 19.3% over the last six quarters.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $936.63 million (Q1 2027), $948.98 million (Q4 2026) and $780.69 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 49.03 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 4.20 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 1.24 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 784.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 1.54 Bn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.24 Bn |
| May 2, 2026 | 936.63 Mn |
| Jan 31, 2026 | 948.98 Mn |
| Nov 1, 2025 | 780.69 Mn |
| Aug 2, 2025 | 764.67 Mn |
| May 3, 2025 | 722.41 Mn |
| Feb 1, 2025 | 848.23 Mn |
| Nov 2, 2024 | 716.02 Mn |
| Aug 3, 2024 | 767.83 Mn |
| May 4, 2024 | 700.31 Mn |
| Feb 3, 2024 | 915.31 Mn |
| Oct 28, 2023 | 695.87 Mn |
| Jul 29, 2023 | 693.40 Mn |
| Apr 29, 2023 | 586.63 Mn |
| Jan 28, 2023 | 685.54 Mn |
| Oct 29, 2022 | 552.26 Mn |
| Jul 30, 2022 | 602.82 Mn |
| Apr 30, 2022 | 541.57 Mn |
| Jan 29, 2022 | 571.88 Mn |
| Oct 30, 2021 | 592.08 Mn |
API Access
Ross Stores EBITDA 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=ebitda&ticker=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();