Pegasystems (PEGA) Non Operating Interest Expenses (2019 - 2026)
Pegasystems' Non Operating Interest Expenses was $45,000 in Q2 2026, compared with $1,000 a year earlier and up 2.3% from the prior quarter.
Pegasystems (PEGA) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pegasystems' Non Operating Interest Expenses was $346,000 through Jun 30, 2026, down 92.2% year-over-year; for FY2025, it was $1.29 million, down 81.2% from FY2024.
- Non Operating Interest Expenses has now declined for five consecutive years, with a five-year compound annual growth rate of -41.9% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $6.84 million in FY2024 (-0.6%), $6.88 million in FY2023 (-11.8%), $7.79 million in FY2022 (-2.1%) and $7.96 million in FY2021 (-58.9%).
- Quarterly Non Operating Interest Expenses has moved between $1,000 (Q2 2025) and $2.21 million (Q4 2021) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last seven quarters, with an average decline of 58.1%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2024 (growth of 8.6%); the worst was Q2 2025 (a decline of 99.9%).
- Per Business Quant data, PEGA's Non Operating Interest Expenses in the three quarters before Q2 2026 was $44,000 (Q1 2026), $113,000 (Q4 2025) and $144,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Pegasystems | 5.47 Bn | 5.11 Bn | 312.69 Mn | 45,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45,000.00 |
| Mar 31, 2026 | 44,000.00 |
| Dec 31, 2025 | 113,000.00 |
| Sep 30, 2025 | 144,000.00 |
| Jun 30, 2025 | 1,000.00 |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 1.79 Mn |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 1.66 Mn |
| Mar 31, 2024 | 1.75 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | 1.78 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 1.91 Mn |
| Sep 30, 2022 | 1.99 Mn |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 2.21 Mn |
| Sep 30, 2021 | 1.91 Mn |
Pegasystems Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();