Rh (RH) Other Operating Expenses (2018 - 2026)
Rh (RH) reported Other Operating Expenses of $49.14 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 13.5% from $56.78 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Rh (RH) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Rh's Other Operating Expenses came in at $213.13 million, down 6.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $220.33 million, down 5.8% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of 19.7% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $234 million in FY2025 (+17.4%), $199.37 million in FY2024 (-29.5%), $282.82 million in FY2023 (+192.0%) and $96.86 million in FY2022 (+8.2%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Other Operating Expenses since fiscal Q2 2024.
- Year over year, Other Operating Expenses gained in three of the last eight quarters, with an average decline of 4.1%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q2 2023 (growth of 216.0%); the low point was fiscal Q1 2024 (a decline of 76.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $53.4 million (Q1 2027), $52.75 million (Q4 2026) and $57.85 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Rh | 2.41 Bn | 2.14 Bn | 444.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 49.14 Mn |
| May 2, 2026 | 53.40 Mn |
| Jan 31, 2026 | 52.75 Mn |
| Nov 1, 2025 | 57.85 Mn |
| Aug 2, 2025 | 56.78 Mn |
| May 3, 2025 | 52.95 Mn |
| Feb 1, 2025 | 59.84 Mn |
| Nov 2, 2024 | 57.62 Mn |
| Aug 3, 2024 | 58.60 Mn |
| May 4, 2024 | 57.94 Mn |
| Feb 3, 2024 | 56.03 Mn |
| Oct 28, 2023 | 59.95 Mn |
| Jul 29, 2023 | 44.24 Mn |
| Apr 29, 2023 | 39.16 Mn |
| Jan 28, 2023 | 34.05 Mn |
| Oct 29, 2022 | 29.22 Mn |
| Jul 30, 2022 | 52.92 Mn |
| Apr 30, 2022 | 166.63 Mn |
| Jan 29, 2022 | 34.97 Mn |
| Oct 30, 2021 | 31.74 Mn |
API Access
Rh Other 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=other-operating-expenses&ticker=RH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();