EPAM Systems (EPAM) Tax Provisions (2011 - 2026)
EPAM Systems' Tax Provisions was $37.57 million in Q2 2026, up 5.1% from $35.74 million a year earlier but down 1.5% from the prior quarter.
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Analysis
EPAM Systems (EPAM) Tax Provisions (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, EPAM Systems' Tax Provisions was $146.97 million through Jun 30, 2026, up 2.1% year-over-year; for FY2025, it came in at $127.95 million, down 1.5% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $129.88 million in FY2024 (+8.7%), $119.5 million in FY2023 (+36.0%), $87.84 million in FY2022 (+69.8%) and $51.74 million in FY2021 (+0.8%).
- Quarterly Tax Provisions has moved between -$9.95 million (Q2 2022) and $53.27 million (Q3 2024) over five years.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 38.7% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2025 (growth of 182.4%); the worst was Q1 2024 (a decline of 70.3%).
- Per Business Quant data, EPAM's Tax Provisions in the three quarters before Q2 2026 was $38.13 million (Q1 2026), $34.47 million (Q4 2025) and $36.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 343.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 231.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -103.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 139.01 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 99.00 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 121.97 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 80.31 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 33.58 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 37.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 46.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.57 Mn |
| Mar 31, 2026 | 38.13 Mn |
| Dec 31, 2025 | 34.47 Mn |
| Sep 30, 2025 | 36.80 Mn |
| Jun 30, 2025 | 35.74 Mn |
| Mar 31, 2025 | 20.94 Mn |
| Dec 31, 2024 | 34.03 Mn |
| Sep 30, 2024 | 53.27 Mn |
| Jun 30, 2024 | 35.17 Mn |
| Mar 31, 2024 | 7.41 Mn |
| Dec 31, 2023 | 29.85 Mn |
| Sep 30, 2023 | 34.65 Mn |
| Jun 30, 2023 | 30.01 Mn |
| Mar 31, 2023 | 24.99 Mn |
| Dec 31, 2022 | 46.12 Mn |
| Sep 30, 2022 | 35.09 Mn |
| Jun 30, 2022 | -9.95 Mn |
| Mar 31, 2022 | 16.57 Mn |
| Dec 31, 2021 | 17.67 Mn |
| Sep 30, 2021 | 19.70 Mn |
API Access
EPAM Systems Tax Provisions 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=tax-provisions&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();