EPAM Systems (EPAM) Accumulated Expenses (2011 - 2026)
EPAM Systems' (EPAM) quarterly Accumulated Expenses came in at $496.0 million in Q2 2026, up 8.14% year-over-year from $458.6 million in Q2 2025, and down 12.63% quarter-over-quarter from $567.7 million in Q1 2026.
EPAM Systems (EPAM) Accumulated Expenses (2011 - 2026) Analysis & Trends
EPAM Systems (EPAM) has reported Accumulated Expenses for 16 consecutive years, with $496.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 8.14% year-over-year to $496.0 million in Q2 2026; TTM through Jun 2026 was $496.0 million, a 8.14% increase from a year earlier, with the FY2025 full-year figure at $608.2 million, up 25.42% from the prior year.
- Accumulated Expenses was $496.0 million for Q2 2026 at EPAM Systems, down from $567.7 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $608.2 million in Q4 2025 and troughed at $359.3 million in Q2 2023.
- A 5-year average of $458.3 million and a median of $450.8 million in 2022 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses jumped 34.06% in 2022 and fell 14.13% in 2023, its largest moves.
- Over 5 years, Accumulated Expenses stood at $475.9 million in 2022, then retreated by 13.26% to $412.7 million in 2023, then increased by 17.49% to $485.0 million in 2024, then grew by 25.42% to $608.2 million in 2025, then slipped by 18.46% to $496.0 million in 2026.
- The last three Accumulated Expenses figures came in at $496.0 million (Q2 2026), $567.7 million (Q1 2026), and $608.2 million (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 | 495.96 Mn |
| Mar 31, 2026 | 567.66 Mn |
| Dec 31, 2025 | 608.23 Mn |
| Sep 30, 2025 | 543.74 Mn |
| Jun 30, 2025 | 458.61 Mn |
| Mar 31, 2025 | 495.56 Mn |
| Dec 31, 2024 | 484.95 Mn |
| Sep 30, 2024 | 422.55 Mn |
| Jun 30, 2024 | 367.67 Mn |
| Mar 31, 2024 | 438.22 Mn |
| Dec 31, 2023 | 412.75 Mn |
| Sep 30, 2023 | 392.42 Mn |
| Jun 30, 2023 | 359.30 Mn |
| Mar 31, 2023 | 444.73 Mn |
| Dec 31, 2022 | 475.87 Mn |
| Sep 30, 2022 | 456.97 Mn |
| Jun 30, 2022 | 414.67 Mn |
| Mar 31, 2022 | 408.79 Mn |
| Dec 31, 2021 | 503.00 Mn |
| Sep 30, 2021 | 412.06 Mn |
EPAM Systems Accumulated Expenses 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=accumulated-expenses&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();