Pegasystems (PEGA) Total Liabilities (2010 - 2026)
Pegasystems' Total Liabilities was $823.66 million in Q2 2026, up 17.7% from $699.88 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Pegasystems (PEGA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Pegasystems came in at $844.46 million, down 28.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.18 billion in FY2024 (+2.2%), $1.16 billion in FY2023 (-5.7%), $1.23 billion in FY2022 (+4.2%) and $1.18 billion in FY2021 (+10.9%).
- Quarterly Total Liabilities has moved between $695.96 million (Q3 2025) and $1.23 billion (Q4 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with an average decline of 11.9%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 18.9%); the worst was Q3 2025 (a decline of 37.1%).
- Per Business Quant data, PEGA's Total Liabilities in the three quarters before Q2 2026 was $845.08 million (Q1 2026), $844.46 million (Q4 2025) and $695.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Pegasystems | 5.46 Bn | 5.10 Bn | 312.69 Mn | 823.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 823.66 Mn |
| Mar 31, 2026 | 845.08 Mn |
| Dec 31, 2025 | 844.46 Mn |
| Sep 30, 2025 | 695.96 Mn |
| Jun 30, 2025 | 699.88 Mn |
| Mar 31, 2025 | 710.68 Mn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 1.16 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.23 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.12 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.18 Bn |
| Sep 30, 2021 | 1.10 Bn |
API Access
Pegasystems Total Liabilities 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=total-liabilities&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();