Rh (RH) Operating Interest Expenses (2018 - 2019)
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Analysis
Rh (RH) Operating Interest Expenses (2018 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | - |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | - |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 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 | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Rh | 2.55 Bn | 2.29 Bn | 444.85 Mn | - |
API Access
Rh Operating Interest 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=operating-interest-expenses&ticker=RH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=RH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();