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 | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | JD.com | 38.12 Bn | -82.08 Bn | 8.71 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();