Pegasystems (PEGA) Capital Expenditures (2010 - 2026)
Pegasystems' Capital Expenditures came in at $4.24 million for Q2 2026, up 98.6% from $2.14 million a year earlier but down 25.9% from the prior quarter.
Pegasystems (PEGA) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pegasystems reported Capital Expenditures of $20.46 million, up 107.3% year-over-year; for FY2025, it was $14.5 million, up 88.1% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $7.71 million in FY2024 (-54.0%), $16.78 million in FY2023 (-52.6%), $35.38 million in FY2022 (+238.4%) and $10.46 million in FY2021 (-58.8%).
- The five-year range for quarterly Capital Expenditures is $338,000 (Q3 2023) to $13.09 million (Q4 2022).
- Year-over-year, Capital Expenditures has increased for eight consecutive quarters, with growth averaging 195.5% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2024 (growth of 806.5%), and the weakest in Q3 2023 (a decline of 96.8%).
- Business Quant data shows PEGA's Capital Expenditures at $5.73 million (Q1 2026), $6.02 million (Q4 2025) and $4.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 14.55 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 28.50 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -134.83 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 171.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 114.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 72.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.77 Mn |
| 10 | Pegasystems | 5.47 Bn | 5.11 Bn | 312.69 Mn | 4.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 5.73 Mn |
| Dec 31, 2025 | 6.02 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 1.88 Mn |
| Dec 31, 2024 | 2.79 Mn |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 604,000.00 |
| Dec 31, 2023 | 2.51 Mn |
| Sep 30, 2023 | 338,000.00 |
| Jun 30, 2023 | 2.45 Mn |
| Mar 31, 2023 | 11.49 Mn |
| Dec 31, 2022 | 13.09 Mn |
| Sep 30, 2022 | 10.42 Mn |
| Jun 30, 2022 | 5.21 Mn |
| Mar 31, 2022 | 6.66 Mn |
| Dec 31, 2021 | 3.37 Mn |
| Sep 30, 2021 | 2.93 Mn |
Pegasystems Capital Expenditures 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=capital-expenditures&ticker=PEGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PEGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();