Rh (RH) Selling, General & Administrative (2011 - 2026)
Rh (RH) posted Selling, General & Administrative of $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.
Rh (RH) Selling, General & Administrative (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Selling, General & Administrative at Rh was $1.18 billion, up 4.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.13 billion, up 3.3% from FY2025.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, Rh's Selling, General & Administrative was $1.09 billion in FY2025 (+6.8%), $1.02 billion in FY2024 (-6.1%), $1.09 billion in FY2023 (+17.4%) and $928.23 million in FY2022 (+8.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly Selling, General & Administrative in data going back to fiscal Q3 2012.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 4.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q1 2023, with growth of 33.9%; the weakest was fiscal Q3 2022, with a decline of 21.7%.
- According to Business Quant data, Selling, General & Administrative for the three prior fiscal quarters was $297.02 million (Q1 2027), $264.88 million (Q4 2026) and $283.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Rh | 2.28 Bn | 2.02 Bn | 444.85 Mn | 337.28 Mn |
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 | 256.70 Mn |
| Oct 28, 2023 | 289.21 Mn |
| Jul 29, 2023 | 228.73 Mn |
| Apr 29, 2023 | 248.31 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 |
Rh Selling, General & Administrative 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=selling-general-and-administrative&ticker=RH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();