Paychex (PAYX) Land & Improvements (2010 - 2016)
Paychex's (PAYX) quarterly Land & Improvements came in at $8.3 million in Q1 2016, little changed year-over-year from $8.3 million in Q1 2015, and little changed quarter-over-quarter from $8.3 million in Q4 2015.
Powered by 
Analysis
Paychex (PAYX) Land & Improvements (2010 - 2016) Analysis & Trends
Paychex has disclosed Land & Improvements across 7 years of filings, most recently posting $8.3 million for Q1 2016.
- In Q1 2016, Land & Improvements changed 0.0% year-over-year to $8.3 million; the TTM figure through Feb 2016 stood at $8.3 million (changed 0.0% YoY), while the FY2015 annual figure was $8.3 million, up 2.47% from the prior year.
- Land & Improvements came in at $8.3 million for Q1 2016 at Paychex, roughly flat from $8.3 million in the prior quarter.
- In the past five years, Land & Improvements ranged from a high of $8.3 million in Q4 2014 to a low of $7.0 million in Q1 2012.
- Average Land & Improvements over 5 years is $7.9 million, with a median of $8.1 million recorded in 2013.
- Year-over-year, Land & Improvements changed 0.0% in 2012 and grew 15.71% in 2013.
- Over 5 years, Land & Improvements stood at $7.3 million in 2012, then grew by 10.96% to $8.1 million in 2013, then advanced by 2.47% to $8.3 million in 2014, then changed by 0.0% to $8.3 million in 2015, then changed by 0.0% to $8.3 million in 2016.
- Per Business Quant data, the three most recent Land & Improvements figures were $8.3 million in Q1 2016, $8.3 million in Q4 2015, and $8.3 million in Q3 2015.
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 | Paychex | 37.16 Bn | 36.02 Bn | 1.19 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 29, 2016 | 8.30 Mn |
| Nov 30, 2015 | 8.30 Mn |
| Aug 31, 2015 | 8.30 Mn |
| May 31, 2015 | 8.30 Mn |
| Feb 28, 2015 | 8.30 Mn |
| Nov 30, 2014 | 8.30 Mn |
| Aug 31, 2014 | 8.10 Mn |
| May 31, 2014 | 8.10 Mn |
| Feb 28, 2014 | 8.10 Mn |
| Nov 30, 2013 | 8.10 Mn |
| Aug 31, 2013 | 8.10 Mn |
| May 31, 2013 | 8.10 Mn |
| Feb 28, 2013 | 8.10 Mn |
| Nov 30, 2012 | 7.30 Mn |
| Aug 31, 2012 | 7.30 Mn |
| May 31, 2012 | 7.00 Mn |
| Feb 29, 2012 | 7.00 Mn |
| Nov 30, 2011 | 6.90 Mn |
| Aug 31, 2011 | 7.00 Mn |
| May 31, 2011 | 7.00 Mn |
API Access
Paychex 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=PAYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "PAYX", "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=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();