O Reilly Automotive (ORLY) Prepaid Assets (2010)
O Reilly Automotive (ORLY) recorded Prepaid Assets of $2.74 million in Q3 2010.
Analysis
O Reilly Automotive (ORLY) Prepaid Assets (2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn |
| 10 | JD.com | 36.69 Bn | -83.52 Bn | 8.71 Bn |
API Access
O Reilly Automotive Prepaid Assets 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=prepaid-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();