Rh (RH) Operating Income (2011 - 2026)
Rh's Operating Income was $107.57 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 16.5% from $128.88 million a year earlier but up 214.1% from the prior quarter.
Rh (RH) Operating Income (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rh's Operating Income was $344.3 million through Aug 1, 2026, down 3.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $387.27 million, up 20.1% from FY2025.
- Operating Income shows a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Income was $322.59 million in FY2025 (-11.9%), $366.07 million in FY2024 (-49.3%), $722.16 million in FY2023 (-22.1%) and $927.18 million in FY2022 (+98.6%).
- Quarterly Operating Income has moved between $34.24 million (fiscal Q1 2027) and $272.54 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Income was higher in six of the last eight quarters, with growth averaging 16.3%.
- The best year-over-year quarter for Operating Income over five years was fiscal Q3 2022 (growth of 145.0%); the worst was fiscal Q3 2024 (a decline of 69.9%).
- Per Business Quant data, RH's Operating Income in the three fiscal quarters before Q2 2027 was $34.24 million (Q1 2027), $96.55 million (Q4 2026) and $105.93 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Rh | 2.30 Bn | 2.04 Bn | 444.85 Mn | 107.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 107.57 Mn |
| May 2, 2026 | 34.24 Mn |
| Jan 31, 2026 | 96.55 Mn |
| Nov 1, 2025 | 105.93 Mn |
| Aug 2, 2025 | 128.88 Mn |
| May 3, 2025 | 55.91 Mn |
| Feb 1, 2025 | 70.33 Mn |
| Nov 2, 2024 | 101.47 Mn |
| Aug 3, 2024 | 96.13 Mn |
| May 4, 2024 | 54.66 Mn |
| Feb 3, 2024 | 64.26 Mn |
| Oct 28, 2023 | 51.24 Mn |
| Jul 29, 2023 | 151.34 Mn |
| Apr 29, 2023 | 99.24 Mn |
| Jan 28, 2023 | 112.21 Mn |
| Oct 29, 2022 | 170.25 Mn |
| Jul 30, 2022 | 234.41 Mn |
| Apr 30, 2022 | 205.29 Mn |
| Jan 29, 2022 | 217.77 Mn |
| Oct 30, 2021 | 272.54 Mn |
Rh Operating Income 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-income&ticker=RH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();