O Reilly Automotive (ORLY) Land & Improvements (2009 - 2012)
O Reilly Automotive (ORLY) recorded Land & Improvements of $420.29 million in Q4 2012, down 9.2% from $462.79 million a year earlier.
Powered by 
Analysis
O Reilly Automotive (ORLY) Land & Improvements (2009 - 2012) Analysis & Trends
Starting with Q4 2009, O Reilly Automotive's Land & Improvements history includes 4 quarters.
- Annual Land & Improvements has a three-year compound annual growth rate of 8.2% (FY2009 to FY2012).
- Across earlier years, Land & Improvements came in at $462.79 million in FY2011 (+17.9%), $392.6 million in FY2010 (+18.4%) and $331.46 million in FY2009.
- The Q4 2012 figure is the lowest quarterly Land & Improvements since Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.84 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 420.29 Mn |
| Dec 31, 2011 | 462.79 Mn |
| Dec 31, 2010 | 392.60 Mn |
| Dec 31, 2009 | 331.46 Mn |
API Access
O Reilly Automotive Land & Improvements 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=land-and-improvements&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();