Pegasystems (PEGA) Property, Plant & Equipment (Net) (2010 - 2017)
Pegasystems' Property, Plant & Equipment (Net) came in at $40.36 million for Q4 2017, up 5.4% from $38.28 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Pegasystems (PEGA) Property, Plant & Equipment (Net) (2010 - 2017) Analysis & Trends
Going back to Q4 2010, Pegasystems' Property, Plant & Equipment (Net) data covers 28 quarters.
- Property, Plant & Equipment (Net) has increased in each of the last four years, with a five-year compound annual growth rate of 5.5% (FY2012 to FY2017).
- Going back by year, Property, Plant & Equipment (Net) was $38.28 million in FY2016 (+22.2%), $31.32 million in FY2015 (+3.9%), $30.16 million in FY2014 (+4.1%) and $28.96 million in FY2013 (-6.1%).
- The Q4 2017 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 13 consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2013 (growth of 57.8%), and the weakest in Q3 2013 (a decline of 7.4%).
- Business Quant data shows PEGA's Property, Plant & Equipment (Net) at $39.85 million (Q3 2017), $38.88 million (Q2 2017) and $39.95 million (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Pegasystems | 5.58 Bn | 5.21 Bn | 312.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 40.36 Mn |
| Sep 30, 2017 | 39.85 Mn |
| Jun 30, 2017 | 38.88 Mn |
| Mar 31, 2017 | 39.95 Mn |
| Dec 31, 2016 | 38.28 Mn |
| Sep 30, 2016 | 39.34 Mn |
| Jun 30, 2016 | 37.74 Mn |
| Mar 31, 2016 | 35.94 Mn |
| Dec 31, 2015 | 31.32 Mn |
| Sep 30, 2015 | 31.83 Mn |
| Jun 30, 2015 | 33.86 Mn |
| Mar 31, 2015 | 31.14 Mn |
| Dec 31, 2014 | 30.16 Mn |
| Sep 30, 2014 | 28.88 Mn |
| Jun 30, 2014 | 27.22 Mn |
| Mar 31, 2014 | 27.84 Mn |
| Dec 31, 2013 | 28.96 Mn |
| Sep 30, 2013 | 28.98 Mn |
| Jun 30, 2013 | 29.26 Mn |
| Mar 31, 2013 | 29.75 Mn |
API Access
Pegasystems Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PEGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();