Pegasystems (PEGA) Total Non-Current Liabilities (2010 - 2026)
Pegasystems' Total Non-Current Liabilities came in at $776.26 million for Q2 2026, up 16.8% from $664.81 million a year earlier but down 3.0% from the prior quarter.
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Analysis
Pegasystems (PEGA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Pegasystems' Total Non-Current Liabilities was $798.6 million, down 30.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.15 billion in FY2024 (+0.9%), $1.14 billion in FY2023 (-5.6%), $1.21 billion in FY2022 (+4.1%) and $1.16 billion in FY2021 (+12.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $659.85 million (Q3 2025) to $1.21 billion (Q4 2022).
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 13.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 18.7%), and the weakest in Q3 2025 (a decline of 39.5%).
- Business Quant data shows PEGA's Total Non-Current Liabilities at $800.48 million (Q1 2026), $798.6 million (Q4 2025) and $659.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Pegasystems | 5.47 Bn | 5.11 Bn | 312.69 Mn | 776.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 776.26 Mn |
| Mar 31, 2026 | 800.48 Mn |
| Dec 31, 2025 | 798.60 Mn |
| Sep 30, 2025 | 659.85 Mn |
| Jun 30, 2025 | 664.81 Mn |
| Mar 31, 2025 | 674.25 Mn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 1.03 Bn |
| Mar 31, 2023 | 1.11 Bn |
| Dec 31, 2022 | 1.21 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.16 Bn |
| Sep 30, 2021 | 1.08 Bn |
API Access
Pegasystems Total Non-Current 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-non-current-liabilities&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();