EPAM Systems (EPAM) Property, Plant & Equipment (Net) (2011 - 2026)
EPAM Systems' Property, Plant & Equipment (Net) came in at $204.97 million for Q2 2026, up 1.7% from $201.62 million a year earlier and up 1.1% from the prior quarter.
EPAM Systems (EPAM) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, EPAM Systems' Property, Plant & Equipment (Net) was $202.39 million, down 2.5% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, though with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $207.67 million in FY2024 (-11.7%), $235.05 million in FY2023 (-14.0%), $273.35 million in FY2022 (+15.7%) and $236.21 million in FY2021 (+39.3%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in 1 of the last eight quarters, with an average decline of 5.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 39.3%), and the weakest in Q2 2024 (a decline of 17.7%).
- Business Quant data shows EPAM's Property, Plant & Equipment (Net) at $202.83 million (Q1 2026), $202.39 million (Q4 2025) and $198.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | 851.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 565.11 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 253.96 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 460.82 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 644.60 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 204.97 Mn |
| 10 | ExlService Holdings | 6.44 Bn | 5.18 Bn | 225.96 Mn | 114.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.97 Mn |
| Mar 31, 2026 | 202.83 Mn |
| Dec 31, 2025 | 202.39 Mn |
| Sep 30, 2025 | 198.82 Mn |
| Jun 30, 2025 | 201.62 Mn |
| Mar 31, 2025 | 203.24 Mn |
| Dec 31, 2024 | 207.67 Mn |
| Sep 30, 2024 | 207.50 Mn |
| Jun 30, 2024 | 210.38 Mn |
| Mar 31, 2024 | 222.24 Mn |
| Dec 31, 2023 | 235.05 Mn |
| Sep 30, 2023 | 239.65 Mn |
| Jun 30, 2023 | 255.77 Mn |
| Mar 31, 2023 | 267.07 Mn |
| Dec 31, 2022 | 273.35 Mn |
| Sep 30, 2022 | 209.70 Mn |
| Jun 30, 2022 | 211.12 Mn |
| Mar 31, 2022 | 219.64 Mn |
| Dec 31, 2021 | 236.21 Mn |
| Sep 30, 2021 | 176.88 Mn |
EPAM Systems Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "EPAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();