Pegasystems (PEGA) Operating Margin (2010 - 2026)
Pegasystems' Operating Margin came in at 3.95% for Q2 2026, down 0.54 percentage points from 4.49% a year earlier and down 4.69 percentage points from the prior quarter.
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Analysis
Pegasystems (PEGA) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pegasystems reported Operating Margin of 9.94%, down 6.50 percentage points year-over-year; for FY2025, it was 15.07%, up 6.80 percentage points from FY2024.
- Operating Margin has increased in each of the last three years, with a five-year change of +29.18 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 8.27% in FY2024 (+2.62 pp), 5.65% in FY2023 (+13.95 pp), -8.30% in FY2022 (-0.48 pp) and -7.82% in FY2021 (+6.29 pp).
- The five-year range for quarterly Operating Margin is -31.00% (Q2 2022) to 32.74% (Q4 2023).
- Year-over-year, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of +1.26 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q1 2025 (a gain of 32.88 percentage points), and the weakest in Q2 2022 (a drop of 31.36 percentage points).
- Business Quant data shows PEGA's Operating Margin at 8.64% (Q1 2026), 20.69% (Q4 2025) and 3.79% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Pegasystems | 5.46 Bn | 5.10 Bn | 312.69 Mn | 3.95% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.95% |
| Mar 31, 2026 | 8.64% |
| Dec 31, 2025 | 20.69% |
| Sep 30, 2025 | 3.79% |
| Jun 30, 2025 | 4.49% |
| Mar 31, 2025 | 26.70% |
| Dec 31, 2024 | 29.13% |
| Sep 30, 2024 | -3.59% |
| Jun 30, 2024 | 3.69% |
| Mar 31, 2024 | -6.18% |
| Dec 31, 2023 | 32.74% |
| Sep 30, 2023 | -3.23% |
| Jun 30, 2023 | -13.84% |
| Mar 31, 2023 | -6.82% |
| Dec 31, 2022 | 8.64% |
| Sep 30, 2022 | -28.52% |
| Jun 30, 2022 | -31.00% |
| Mar 31, 2022 | 4.95% |
| Dec 31, 2021 | -10.18% |
| Sep 30, 2021 | -25.50% |
API Access
Pegasystems Operating Margin 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=operating-margin&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();