Rh (RH) Operating Expenses (2011 - 2026)
Rh's Operating Expenses came in at $337.28 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.3% from $280.38 million a year earlier and up 13.6% from the prior quarter.
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Analysis
Rh (RH) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Rh reported Operating Expenses of $1.18 billion, up 4.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.13 billion, up 3.3% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.09 billion in FY2025 (+6.0%), $1.03 billion in FY2024 (-5.4%), $1.09 billion in FY2023 (+17.5%) and $927.78 million in FY2022 (+8.9%).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q3 2012.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 4.0%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2023 (growth of 33.9%), and the weakest in fiscal Q2 2024 (a decline of 26.1%).
- Business Quant data shows RH's Operating Expenses at $297.02 million (Q1 2027), $264.88 million (Q4 2026) and $283.81 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Rh | 2.26 Bn | 2.00 Bn | 444.85 Mn | 337.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 337.28 Mn |
| May 2, 2026 | 297.02 Mn |
| Jan 31, 2026 | 264.88 Mn |
| Nov 1, 2025 | 283.81 Mn |
| Aug 2, 2025 | 280.38 Mn |
| May 3, 2025 | 299.42 Mn |
| Feb 1, 2025 | 292.47 Mn |
| Nov 2, 2024 | 259.87 Mn |
| Aug 3, 2024 | 278.63 Mn |
| May 4, 2024 | 261.38 Mn |
| Feb 3, 2024 | 271.92 Mn |
| Oct 28, 2023 | 289.21 Mn |
| Jul 29, 2023 | 213.51 Mn |
| Apr 29, 2023 | 255.91 Mn |
| Jan 28, 2023 | 257.20 Mn |
| Oct 29, 2022 | 250.53 Mn |
| Jul 30, 2022 | 288.80 Mn |
| Apr 30, 2022 | 293.30 Mn |
| Jan 29, 2022 | 237.74 Mn |
| Oct 30, 2021 | 232.72 Mn |
API Access
Rh 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=RH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RH", "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=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();