Pegasystems (PEGA) Payout Ratio (2011 - 2026)
Pegasystems' Payout Ratio came in at 0.06 for Q2 2026, up 35.1% from 0.05 a year earlier and up 19.8% from the prior quarter.
Analysis
Pegasystems (PEGA) Payout Ratio (2011 - 2026) Analysis & Trends
For FY2025, Pegasystems' Payout Ratio was 0.04, down 61.9% from FY2024.
- Going back by year, Payout Ratio was 0.10 in FY2024 (-30.0%) and 0.15 in FY2023.
- The Q2 2026 figure represents the highest quarterly Payout Ratio since Q4 2024.
- Year-over-year, Payout Ratio increased in two of the last seven quarters, with an average decline of 28.5%.
- Business Quant data shows PEGA's Payout Ratio at 0.05 (Q1 2026), 0.04 (Q4 2025) and 0.05 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn |
| 10 | Pegasystems | 5.80 Bn | 5.49 Bn | 289.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.07 |
| Jun 30, 2026 | 0.06 |
| Mar 31, 2026 | 0.05 |
| Dec 31, 2025 | 0.04 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | 0.05 |
| Mar 31, 2025 | 0.05 |
| Dec 31, 2024 | 0.10 |
| Sep 30, 2024 | 0.08 |
| Jun 30, 2024 | 0.08 |
| Mar 31, 2024 | 0.13 |
| Dec 31, 2023 | 0.15 |
| Jun 30, 2021 | 0.63 |
| Dec 31, 2018 | 0.89 |
| Sep 30, 2018 | 0.27 |
| Jun 30, 2018 | 0.21 |
| Mar 31, 2018 | 0.16 |
| Dec 31, 2017 | 0.09 |
| Sep 30, 2017 | 0.14 |
| Jun 30, 2017 | 0.13 |
API Access
Pegasystems Payout Ratio 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=payout-ratio&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();