Rh (RH) Cash & Equivalents (2011 - 2026)
Rh (RH) posted Cash & Equivalents of $125.49 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 263.1% from $34.56 million a year earlier and up 133.2% from the prior quarter.
Rh (RH) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Rh's Cash & Equivalents came in at $41.19 million, up 35.4% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -16.3% (FY2021 to FY2026).
- In prior fiscal years, Rh's Cash & Equivalents was $30.41 million in FY2025 (-75.4%), $123.69 million in FY2024 (-91.8%), $1.51 billion in FY2023 (-30.8%) and $2.18 billion in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q3 2024.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2023, with growth of 877.3%; the weakest was fiscal Q1 2025, with a decline of 93.3%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $53.8 million (Q1 2027), $41.19 million (Q4 2026) and $43.09 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 55.78 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 3.05 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 194.45 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 326.12 Mn |
| 10 | Rh | 2.55 Bn | 2.29 Bn | 444.85 Mn | 125.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 125.49 Mn |
| May 2, 2026 | 53.80 Mn |
| Jan 31, 2026 | 41.19 Mn |
| Nov 1, 2025 | 43.09 Mn |
| Aug 2, 2025 | 34.56 Mn |
| May 3, 2025 | 46.08 Mn |
| Feb 1, 2025 | 30.41 Mn |
| Nov 2, 2024 | 87.01 Mn |
| Aug 3, 2024 | 78.33 Mn |
| May 4, 2024 | 101.79 Mn |
| Feb 3, 2024 | 123.69 Mn |
| Oct 28, 2023 | 380.70 Mn |
| Jul 29, 2023 | 417.05 Mn |
| Apr 29, 2023 | 1.52 Bn |
| Jan 28, 2023 | 1.51 Bn |
| Oct 29, 2022 | 2.15 Bn |
| Jul 30, 2022 | 2.09 Bn |
| Apr 30, 2022 | 2.24 Bn |
| Jan 29, 2022 | 2.18 Bn |
| Oct 30, 2021 | 2.20 Bn |
Rh Cash & Equivalents 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=cash-and-equivalents&ticker=RH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();