Pegasystems (PEGA) Accumulated Expenses (2010 - 2026)
Pegasystems (PEGA) posted Accumulated Expenses of $92.3 million for Q2 2026, up 79.5% from $51.43 million a year earlier and up 16.1% from the prior quarter.
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Analysis
Pegasystems (PEGA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Pegasystems' Accumulated Expenses came in at $44.85 million, up 42.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- In prior years, Pegasystems' Accumulated Expenses was $31.54 million in FY2024 (-21.0%), $39.94 million in FY2023 (-20.7%), $50.36 million in FY2022 (-21.2%) and $63.89 million in FY2021 (+7.8%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 19.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2026, with growth of 79.5%; the weakest was Q1 2025, with a decline of 38.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $79.46 million (Q1 2026), $44.85 million (Q4 2025) and $51.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Pegasystems | 5.66 Bn | 5.30 Bn | 312.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.30 Mn |
| Mar 31, 2026 | 79.46 Mn |
| Dec 31, 2025 | 44.85 Mn |
| Sep 30, 2025 | 51.86 Mn |
| Jun 30, 2025 | 51.43 Mn |
| Mar 31, 2025 | 49.88 Mn |
| Dec 31, 2024 | 31.54 Mn |
| Sep 30, 2024 | 41.24 Mn |
| Jun 30, 2024 | 44.88 Mn |
| Mar 31, 2024 | 80.64 Mn |
| Dec 31, 2023 | 39.94 Mn |
| Sep 30, 2023 | 43.62 Mn |
| Jun 30, 2023 | 53.11 Mn |
| Mar 31, 2023 | 45.43 Mn |
| Dec 31, 2022 | 50.36 Mn |
| Sep 30, 2022 | 61.01 Mn |
| Jun 30, 2022 | 63.12 Mn |
| Mar 31, 2022 | 63.40 Mn |
| Dec 31, 2021 | 63.89 Mn |
| Sep 30, 2021 | 46.58 Mn |
API Access
Pegasystems Accumulated 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=accumulated-expenses&ticker=PEGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();