Pegasystems (PEGA) Non-Current Deffered Revenue (2010 - 2018)
Pegasystems' Non-Current Deffered Revenue was $3.28 million in Q1 2018, down 67.1% from $9.96 million a year earlier and down 11.6% from the prior quarter.
Pegasystems (PEGA) Non-Current Deffered Revenue (2010 - 2018) Analysis & Trends
At the end of FY2017, Non-Current Deffered Revenue at Pegasystems came in at $3.71 million, down 66.3% from FY2016.
- Non-Current Deffered Revenue has now declined for four consecutive years, with a five-year compound annual growth rate of -27.7% (FY2012 to FY2017).
- In earlier years, Non-Current Deffered Revenue was $10.99 million in FY2016 (-30.5%), $15.81 million in FY2015 (-24.2%), $20.86 million in FY2014 (-39.0%) and $34.2 million in FY2013 (+82.7%).
- The Q1 2018 figure marks the lowest quarterly Non-Current Deffered Revenue in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Deffered Revenue has declined for 14 straight quarters, with an average decline of 38.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Deffered Revenue over five years was Q1 2014 (growth of 83.4%); the worst was Q1 2018 (a decline of 67.1%).
- Per Business Quant data, PEGA's Non-Current Deffered Revenue in the three quarters before Q1 2018 was $3.71 million (Q4 2017), $6.13 million (Q3 2017) and $8.43 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 33.72 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | - |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 135.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 385.90 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | - |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 3.26 Mn |
| 10 | Pegasystems | 5.66 Bn | 5.30 Bn | 312.69 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 3.28 Mn |
| Dec 31, 2017 | 3.71 Mn |
| Sep 30, 2017 | 6.13 Mn |
| Jun 30, 2017 | 8.43 Mn |
| Mar 31, 2017 | 9.96 Mn |
| Dec 31, 2016 | 10.99 Mn |
| Sep 30, 2016 | 10.23 Mn |
| Jun 30, 2016 | 13.33 Mn |
| Mar 31, 2016 | 13.46 Mn |
| Dec 31, 2015 | 15.81 Mn |
| Sep 30, 2015 | 13.86 Mn |
| Jun 30, 2015 | 16.21 Mn |
| Mar 31, 2015 | 18.50 Mn |
| Dec 31, 2014 | 20.86 Mn |
| Sep 30, 2014 | 20.65 Mn |
| Jun 30, 2014 | 24.54 Mn |
| Mar 31, 2014 | 29.40 Mn |
| Dec 31, 2013 | 34.20 Mn |
| Sep 30, 2013 | 17.95 Mn |
| Jun 30, 2013 | 20.38 Mn |
Pegasystems Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();