O Reilly Automotive (ORLY) Other Operating Expenses (2010)
O Reilly Automotive (ORLY) posted Other Operating Expenses of $20.9 million for FY2010.
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Analysis
O Reilly Automotive (ORLY) Other Operating Expenses (2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn |
| 10 | JD.com | 40.37 Bn | -79.84 Bn | 8.74 Bn |
API Access
O Reilly Automotive Other Operating 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-operating-expenses&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ORLY", "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-operating-expenses&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();