Rh (RH) Other Accumulated Expenses (2012 - 2026)
Rh (RH) posted Other Accumulated Expenses of $94.26 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 18.7% from $116 million a year earlier but up 1.8% from the prior quarter.
Rh (RH) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Rh's Other Accumulated Expenses came in at $95.09 million, down 3.9% from FY2025.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -7.8% (FY2021 to FY2026).
- In prior fiscal years, Rh's Other Accumulated Expenses was $98.96 million in FY2025 (+3.0%), $96.11 million in FY2024 (-6.9%), $103.19 million in FY2023 (-29.6%) and $146.62 million in FY2022 (+2.8%).
- Quarterly Other Accumulated Expenses has run from a low of $84.07 million in fiscal Q2 2025 to a high of $146.62 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last three quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2026, with growth of 38.0%; the weakest was fiscal Q4 2023, with a decline of 29.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $92.63 million (Q1 2027), $95.09 million (Q4 2026) and $113.68 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Rh | 2.28 Bn | 2.02 Bn | 444.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 94.26 Mn |
| May 2, 2026 | 92.63 Mn |
| Jan 31, 2026 | 95.09 Mn |
| Nov 1, 2025 | 113.68 Mn |
| Aug 2, 2025 | 116.00 Mn |
| May 3, 2025 | 96.20 Mn |
| Feb 1, 2025 | 98.96 Mn |
| Nov 2, 2024 | 88.29 Mn |
| Aug 3, 2024 | 84.07 Mn |
| May 4, 2024 | 85.61 Mn |
| Feb 3, 2024 | 96.11 Mn |
| Oct 28, 2023 | 100.97 Mn |
| Jul 29, 2023 | 100.67 Mn |
| Apr 29, 2023 | 101.86 Mn |
| Jan 28, 2023 | 103.19 Mn |
| Oct 29, 2022 | 104.54 Mn |
| Jul 30, 2022 | 115.07 Mn |
| Apr 30, 2022 | 107.80 Mn |
| Jan 29, 2022 | 146.62 Mn |
| Oct 30, 2021 | 131.78 Mn |
Rh Other Accumulated 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-accumulated-expenses&ticker=RH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();