Automatic Data Processing (ADP) Land & Improvements (2009 - 2012)
Automatic Data Processing's (ADP) quarterly Land & Improvements came in at $710.4 million in Q2 2012, up 1.72% year-over-year from $698.4 million in Q3 2011, and up 1.72% quarter-over-quarter from $698.4 million in Q2 2011.
Powered by 
Analysis
Automatic Data Processing (ADP) Land & Improvements (2009 - 2012) Analysis & Trends
Automatic Data Processing (ADP) has reported Land & Improvements for 4 consecutive years, with $710.4 million the latest figure, recorded in Q2 2012.
- On a quarterly basis, Land & Improvements rose 1.72% year-over-year to $710.4 million in Q2 2012; TTM through Jun 2012 was $710.4 million, a 1.72% increase from a year earlier, with the FY2012 full-year figure at $710.4 million, up 1.72% from the prior year.
- Land & Improvements was $710.4 million for Q2 2012 at Automatic Data Processing, up from $698.4 million in the prior quarter.
- Over five years, Land & Improvements peaked at $721.1 million in Q2 2009 and troughed at $698.4 million in Q2 2011.
- A 4-year average of $707.5 million and a median of $705.2 million in 2010 frame the typical range for Land & Improvements.
- Across the five-year window, Land & Improvements decreased 2.91% in 2010 and gained 1.72% in 2012, its largest moves.
- Over 4 years, Land & Improvements stood at $721.1 million in 2009, then decreased by 2.91% to $700.1 million in 2010, then dropped by 0.24% to $698.4 million in 2011, then gained by 1.72% to $710.4 million in 2012.
- The last three Land & Improvements figures came in at $710.4 million (Q2 2012), $698.4 million (Q2 2011), and $700.1 million (Q2 2010), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 1.33 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | - |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | - |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 96.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | - |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 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();