Pegasystems (PEGA) EBITDA (2010 - 2026)
Pegasystems' EBITDA was $35.35 million in Q2 2026, down 0.5% from $35.54 million a year earlier and down 37.1% from the prior quarter.
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Analysis
Pegasystems (PEGA) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pegasystems' EBITDA was $252.74 million through Jun 30, 2026, down 28.7% year-over-year; for FY2025, it was $345.37 million, up 69.5% from FY2024.
- In earlier years, EBITDA was $203.74 million in FY2024 (+28.0%), $159.16 million in FY2023, -$37.15 million in FY2022 and -$24.75 million in FY2021.
- Quarterly EBITDA has moved between -$70.1 million (Q2 2022) and $175.32 million (Q4 2023) over five years.
- Compared with a year earlier, EBITDA has declined for three straight quarters, with growth averaging 36.2% over the last seven quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2025 (growth of 348.8%); the worst was Q1 2026 (a decline of 62.2%).
- Per Business Quant data, PEGA's EBITDA in the three quarters before Q2 2026 was $56.18 million (Q1 2026), $126.73 million (Q4 2025) and $34.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.40 Bn | 438.35 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 391.30 Bn | 263.44 Bn | - | 10.13 Bn |
| 3 | Sap Se | 266.45 Bn | 194.24 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 198.43 Bn | 154.30 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 154.37 Bn | 132.83 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 117.21 Bn | 99.34 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 92.81 Bn | 72.16 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 72.02 Bn | 71.11 Bn | - | - |
| 9 | Strategy | 50.55 Bn | 43.54 Bn | 81.55 Mn | -8.31 Bn |
| 10 | Pegasystems | 5.95 Bn | 5.59 Bn | 312.69 Mn | 35.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.35 Mn |
| Mar 31, 2026 | 56.18 Mn |
| Dec 31, 2025 | 126.73 Mn |
| Sep 30, 2025 | 34.48 Mn |
| Jun 30, 2025 | 35.54 Mn |
| Mar 31, 2025 | 148.63 Mn |
| Dec 31, 2024 | 162.41 Mn |
| Sep 30, 2024 | 7.68 Mn |
| Jun 30, 2024 | 32.52 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 175.32 Mn |
| Sep 30, 2023 | 8.76 Mn |
| Jun 30, 2023 | -21.71 Mn |
| Mar 31, 2023 | -3.21 Mn |
| Dec 31, 2022 | 54.35 Mn |
| Sep 30, 2022 | -61.42 Mn |
| Jun 30, 2022 | -70.10 Mn |
| Mar 31, 2022 | 40.01 Mn |
| Dec 31, 2021 | -17.63 Mn |
| Sep 30, 2021 | -46.63 Mn |
API Access
Pegasystems EBITDA 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=ebitda&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();