Paychex (PAYX) Buildings (2010 - 2016)
Paychex (PAYX) reported Buildings of $102.5 million for fiscal Q3 2016 (quarter ended Feb 29, 2016), up 0.6% from $101.9 million a year earlier and up 0.1% from the prior quarter.
Paychex (PAYX) Buildings (2010 - 2016) Analysis & Trends
At the end of FY2015 (ended May 31, 2015), Paychex posted Buildings of $102.1 million, up 1.0% from FY2014.
- Buildings has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.4% (FY2010 to FY2015).
- By fiscal year, Buildings came in at $101.1 million in FY2014 (+1.9%), $99.2 million in FY2013 (+2.5%), $96.8 million in FY2012 (+1.7%) and $95.2 million in FY2011 (+15.4%).
- The fiscal Q3 2016 figure ranks as the highest quarterly Buildings in data going back to fiscal Q4 2010.
- Year over year, Buildings has now increased in each of the last 20 quarters, with growth averaging 1.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Buildings ranged from 0.6% (fiscal Q3 2016) to 15.4% (fiscal Q4 2011).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $102.4 million (Q2 2016), $102.4 million (Q1 2016) and $102.1 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.07 Bn | 418.02 Bn | 1.64 Bn |
| 2 | Oracle | 383.87 Bn | 256.01 Bn | - |
| 3 | Sap Se | 259.07 Bn | 186.85 Bn | 8.40 Bn |
| 4 | Salesforce | 195.58 Bn | 151.45 Bn | 8.70 Bn |
| 5 | ServiceNow | 144.38 Bn | 122.84 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.25 Bn | 97.38 Bn | 2.51 Bn |
| 7 | Intuit | 89.11 Bn | 68.46 Bn | 3.44 Bn |
| 8 | Relx | 71.35 Bn | 70.44 Bn | - |
| 9 | Strategy | 48.57 Bn | 41.56 Bn | 81.55 Mn |
| 10 | Paychex | 39.25 Bn | 34.33 Bn | 1.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Feb 29, 2016 | 102.50 Mn |
| Nov 30, 2015 | 102.40 Mn |
| Aug 31, 2015 | 102.40 Mn |
| May 31, 2015 | 102.10 Mn |
| Feb 28, 2015 | 101.90 Mn |
| Nov 30, 2014 | 101.50 Mn |
| Aug 31, 2014 | 101.20 Mn |
| May 31, 2014 | 101.10 Mn |
| Feb 28, 2014 | 100.80 Mn |
| Nov 30, 2013 | 100.60 Mn |
| Aug 31, 2013 | 100.30 Mn |
| May 31, 2013 | 99.20 Mn |
| Feb 28, 2013 | 98.40 Mn |
| Nov 30, 2012 | 98.10 Mn |
| Aug 31, 2012 | 97.80 Mn |
| May 31, 2012 | 96.80 Mn |
| Feb 29, 2012 | 95.70 Mn |
| Nov 30, 2011 | 95.60 Mn |
| Aug 31, 2011 | 95.30 Mn |
| May 31, 2011 | 95.20 Mn |
Paychex Buildings 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=buildings&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();