EPAM Systems (EPAM) EBITDA (2011 - 2026)
EPAM Systems (EPAM) reported EBITDA of $184.32 million for Q2 2026, up 16.8% from $157.75 million a year earlier and up 24.3% from the prior quarter.
EPAM Systems (EPAM) EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EPAM Systems' EBITDA came in at $688.93 million, up 6.3% year-over-year; for FY2025, it was $644.81 million, up 1.7% from FY2024.
- EBITDA has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, EBITDA came in at $634.14 million in FY2024 (+6.9%), $593.04 million in FY2023 (-10.9%), $665.24 million in FY2022 (+6.3%) and $625.72 million in FY2021 (+41.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q3 2024.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 11.9% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 47.5%); the low point was Q3 2023 (a decline of 32.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $148.31 million (Q1 2026), $180.04 million (Q4 2025) and $176.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 191.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.32 Mn |
| Mar 31, 2026 | 148.31 Mn |
| Dec 31, 2025 | 180.04 Mn |
| Sep 30, 2025 | 176.26 Mn |
| Jun 30, 2025 | 157.75 Mn |
| Mar 31, 2025 | 130.77 Mn |
| Dec 31, 2024 | 163.07 Mn |
| Sep 30, 2024 | 196.72 Mn |
| Jun 30, 2024 | 141.68 Mn |
| Mar 31, 2024 | 132.68 Mn |
| Dec 31, 2023 | 145.65 Mn |
| Sep 30, 2023 | 137.12 Mn |
| Jun 30, 2023 | 167.11 Mn |
| Mar 31, 2023 | 143.15 Mn |
| Dec 31, 2022 | 193.62 Mn |
| Sep 30, 2022 | 202.10 Mn |
| Jun 30, 2022 | 116.01 Mn |
| Mar 31, 2022 | 153.50 Mn |
| Dec 31, 2021 | 189.26 Mn |
| Sep 30, 2021 | 165.67 Mn |
EPAM Systems EBITDA 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=ebitda&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();