EPAM Systems (EPAM) Cash from Operations (2011 - 2026)
EPAM Systems (EPAM) recorded Cash from Operations of -$2.42 million in Q2 2026, compared with $53.2 million a year earlier.
EPAM Systems (EPAM) Cash from Operations (2011 - 2026) Analysis & Trends
On a TTM basis, EPAM Systems' Cash from Operations came in at $538.79 million as of Jun 30, 2026, up 19.8% year-over-year; for FY2025, it came in at $654.93 million, up 17.1% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $559.17 million in FY2024 (-0.6%), $562.63 million in FY2023 (+21.2%), $464.1 million in FY2022 (-18.9%) and $572.33 million in FY2021 (+5.1%).
- Quarterly Cash from Operations has ranged from -$51.85 million in Q1 2022 to $294.68 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in three of the last six quarters, with growth averaging 6.6%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 117.2% in Q4 2025, against a decline of 81.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$36.36 million (Q1 2026), $282.89 million (Q4 2025) and $294.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.26 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 558.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | -265.61 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -55.10 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 437.03 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 318.35 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | -290.74 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -533.22 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | -2.42 Mn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 146.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.42 Mn |
| Mar 31, 2026 | -36.36 Mn |
| Dec 31, 2025 | 282.89 Mn |
| Sep 30, 2025 | 294.68 Mn |
| Jun 30, 2025 | 53.20 Mn |
| Mar 31, 2025 | 24.16 Mn |
| Dec 31, 2024 | 130.26 Mn |
| Sep 30, 2024 | 241.96 Mn |
| Jun 30, 2024 | 57.03 Mn |
| Mar 31, 2024 | 129.92 Mn |
| Dec 31, 2023 | 171.37 Mn |
| Sep 30, 2023 | 214.88 Mn |
| Jun 30, 2023 | 89.05 Mn |
| Mar 31, 2023 | 87.33 Mn |
| Dec 31, 2022 | 186.07 Mn |
| Sep 30, 2022 | 252.37 Mn |
| Jun 30, 2022 | 77.52 Mn |
| Mar 31, 2022 | -51.85 Mn |
| Dec 31, 2021 | 284.61 Mn |
| Sep 30, 2021 | 206.05 Mn |
EPAM Systems Cash from Operations 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=cash-from-operations&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();