Pegasystems (PEGA) Return on Capital Employed [ROCE] (2011 - 2026)
Pegasystems (PEGA) recorded Return on Capital Employed [ROCE] of 23.07% in Q2 2026, down 15.02 percentage points from 38.09% a year earlier but up 2.64 percentage points from the prior quarter.
Pegasystems (PEGA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Pegasystems reported Return on Capital Employed [ROCE] of 27.34%, up 4.96 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, with a five-year change of +44.54 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 22.38% in FY2024 (+12.94 pp), 9.44% in FY2023 (+21.12 pp), -11.68% in FY2022 (-3.17 pp) and -8.51% in FY2021 (+8.69 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -22.02% in Q3 2022 to 42.43% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in six of the last eight quarters, with an average year-over-year change of +9.09 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 40.71 percentage points in Q2 2024, against a drop of 16.21 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 20.43% (Q1 2026), 36.31% (Q4 2025) and 42.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Pegasystems | 5.58 Bn | 5.21 Bn | 312.69 Mn | 23.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.07% |
| Mar 31, 2026 | 20.43% |
| Dec 31, 2025 | 36.31% |
| Sep 30, 2025 | 42.43% |
| Jun 30, 2025 | 38.09% |
| Mar 31, 2025 | 28.98% |
| Dec 31, 2024 | 21.08% |
| Sep 30, 2024 | 25.53% |
| Jun 30, 2024 | 26.99% |
| Mar 31, 2024 | 17.72% |
| Dec 31, 2023 | 10.25% |
| Sep 30, 2023 | -5.45% |
| Jun 30, 2023 | -13.72% |
| Mar 31, 2023 | -17.78% |
| Dec 31, 2022 | -15.13% |
| Sep 30, 2022 | -22.02% |
| Jun 30, 2022 | -17.02% |
| Mar 31, 2022 | -6.87% |
| Dec 31, 2021 | -8.70% |
| Sep 30, 2021 | -5.81% |
Pegasystems Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();