Automatic Data Processing (ADP) Land & Improvements (2009 - 2012)
Automatic Data Processing (ADP) recorded Land & Improvements of $710.4 million in fiscal Q4 2012 (quarter ended Jun 30, 2012), up 1.7% from $698.4 million a year earlier.
Powered by 
Analysis
Automatic Data Processing (ADP) Land & Improvements (2009 - 2012) Analysis & Trends
Starting with fiscal Q4 2009, Automatic Data Processing's Land & Improvements history includes 4 quarters.
- Annual Land & Improvements has a three-year compound annual growth rate of -0.5% (FY2009 to FY2012).
- Across earlier fiscal years, Land & Improvements came in at $698.4 million in FY2011 (-0.2%), $700.1 million in FY2010 (-2.9%) and $721.1 million in FY2009.
- The fiscal Q4 2012 figure is the highest quarterly Land & Improvements since fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 1.33 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | - |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | - |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 96.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 710.40 Mn |
| Jun 30, 2011 | 698.40 Mn |
| Jun 30, 2010 | 700.10 Mn |
| Jun 30, 2009 | 721.10 Mn |
API Access
Automatic Data Processing 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=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "ADP", "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=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();