EPAM Systems (EPAM) Goodwill & Intangibles (2010 - 2026)
EPAM Systems' (EPAM) quarterly Goodwill & Intangibles came in at $1.6 billion in Q2 2026, down 4.21% year-over-year from $1.6 billion in Q2 2025, and down 0.9% quarter-over-quarter from $1.6 billion in Q1 2026.
EPAM Systems (EPAM) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
EPAM Systems (EPAM) has reported Goodwill & Intangibles for 17 consecutive years, with $1.6 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles fell 4.21% year-over-year to $1.6 billion in Q2 2026; TTM through Jun 2026 was $1.6 billion, a 4.21% decrease from a year earlier, with the FY2025 full-year figure at $1.6 billion, changed 0.05% from the prior year.
- Goodwill & Intangibles was $1.6 billion for Q2 2026 at EPAM Systems, down from $1.6 billion in the prior quarter.
- Over five years, Goodwill & Intangibles peaked at $1.6 billion in Q2 2025 and troughed at $584.8 million in Q3 2022.
- A 5-year average of $1.0 billion and a median of $681.1 million in 2024 frame the typical range for Goodwill & Intangibles.
- Across the five-year window, Goodwill & Intangibles surged 155.37% in 2024 and decreased 4.21% in 2026, its largest moves.
- Over 5 years, Goodwill & Intangibles stood at $606.7 million in 2022, then grew by 4.43% to $633.6 million in 2023, then surged by 155.37% to $1.6 billion in 2024, then dropped by 0.05% to $1.6 billion in 2025, then fell by 2.54% to $1.6 billion in 2026.
- The last three Goodwill & Intangibles figures came in at $1.6 billion (Q2 2026), $1.6 billion (Q1 2026), and $1.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.63 Bn |
| Jun 30, 2025 | 1.65 Bn |
| Mar 31, 2025 | 1.61 Bn |
| Dec 31, 2024 | 1.62 Bn |
| Sep 30, 2024 | 696.40 Mn |
| Jun 30, 2024 | 686.31 Mn |
| Mar 31, 2024 | 675.98 Mn |
| Dec 31, 2023 | 633.58 Mn |
| Sep 30, 2023 | 617.91 Mn |
| Jun 30, 2023 | 602.62 Mn |
| Mar 31, 2023 | 606.84 Mn |
| Dec 31, 2022 | 606.72 Mn |
| Sep 30, 2022 | 584.76 Mn |
| Jun 30, 2022 | 610.30 Mn |
| Mar 31, 2022 | 631.71 Mn |
| Dec 31, 2021 | 631.87 Mn |
| Sep 30, 2021 | 461.08 Mn |
EPAM Systems Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();