Ross Stores (ROST) Operating Expenses (2009 - 2026)
Ross Stores (ROST) recorded Operating Expenses of $1.02 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 14.3% from $888.71 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Ross Stores (ROST) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Ross Stores' Operating Expenses came in at $3.9 billion as of Aug 1, 2026, down 43.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.6 billion, up 9.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -22.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $3.28 billion in FY2025 (-81.7%), $17.91 billion in FY2024 (+7.2%), $16.71 billion in FY2023 (+0.3%) and $16.66 billion in FY2022 (+34.1%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Expenses since fiscal Q3 2025.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with an average decline of 33.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 22.4% in fiscal Q1 2027, against a decline of 84.0% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $975.86 million (Q1 2027), $990.1 million (Q4 2026) and $920 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.60 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | -1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.02 Bn |
| May 2, 2026 | 975.86 Mn |
| Jan 31, 2026 | 990.10 Mn |
| Nov 1, 2025 | 920.00 Mn |
| Aug 2, 2025 | 888.71 Mn |
| May 3, 2025 | 797.14 Mn |
| Feb 1, 2025 | 837.63 Mn |
| Nov 2, 2024 | 4.42 Bn |
| Aug 3, 2024 | 4.58 Bn |
| May 4, 2024 | 4.22 Bn |
| Feb 3, 2024 | 5.23 Bn |
| Oct 28, 2023 | 4.33 Bn |
| Jul 29, 2023 | 4.34 Bn |
| Apr 29, 2023 | 4.01 Bn |
| Jan 28, 2023 | 4.63 Bn |
| Oct 29, 2022 | 4.11 Bn |
| Jul 30, 2022 | 4.08 Bn |
| Apr 30, 2022 | 3.88 Bn |
| Jan 29, 2022 | 4.55 Bn |
| Oct 30, 2021 | 4.07 Bn |
API Access
Ross Stores Operating Expenses 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=operating-expenses&ticker=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();