Pegasystems (PEGA) Amortization of Deferred Charges (2019 - 2026)
Pegasystems (PEGA) reported Amortization of Deferred Charges of $15.85 million for Q2 2026, up 5.1% from $15.07 million a year earlier but down 1.6% from the prior quarter.
Pegasystems (PEGA) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pegasystems' Amortization of Deferred Charges came in at $66.94 million, up 5.3% year-over-year; for FY2025, it was $68.57 million, up 10.1% from FY2024.
- Amortization of Deferred Charges has increased for nine consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- By year, Amortization of Deferred Charges came in at $62.27 million in FY2024 (+4.7%), $59.46 million in FY2023 (+11.2%), $53.47 million in FY2022 (+29.2%) and $41.39 million in FY2021 (+24.3%).
- Five-year quarterly Amortization of Deferred Charges spans a low of $10 million in Q4 2021 and a high of $18.5 million in Q1 2025.
- Year over year, Amortization of Deferred Charges gained in five of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Amortization of Deferred Charges in five years was Q1 2022 (growth of 49.8%); the low point was Q1 2023 (a decline of 17.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.1 million (Q1 2026), $18.08 million (Q4 2025) and $16.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Pegasystems | 5.58 Bn | 5.21 Bn | 312.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.85 Mn |
| Mar 31, 2026 | 16.10 Mn |
| Dec 31, 2025 | 18.08 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 15.07 Mn |
| Mar 31, 2025 | 18.50 Mn |
| Dec 31, 2024 | 15.13 Mn |
| Sep 30, 2024 | 14.87 Mn |
| Jun 30, 2024 | 14.99 Mn |
| Mar 31, 2024 | 17.28 Mn |
| Dec 31, 2023 | 15.49 Mn |
| Sep 30, 2023 | 14.95 Mn |
| Jun 30, 2023 | 14.75 Mn |
| Mar 31, 2023 | 14.28 Mn |
| Dec 31, 2022 | 13.72 Mn |
| Sep 30, 2022 | 11.60 Mn |
| Jun 30, 2022 | 10.93 Mn |
| Mar 31, 2022 | 17.22 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 10.19 Mn |
Pegasystems Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();