EPAM Systems (EPAM) Capital Expenditures (2011 - 2026)
EPAM Systems (EPAM) recorded Capital Expenditures of $15.21 million in Q2 2026, up 54.8% from $9.83 million a year earlier but down 14.8% from the prior quarter.
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Analysis
EPAM Systems (EPAM) Capital Expenditures (2011 - 2026) Analysis & Trends
On a TTM basis, EPAM Systems' Capital Expenditures came in at $56.15 million as of Jun 30, 2026, up 40.9% year-over-year; for FY2025, it came in at $42.24 million, up 31.4% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $32.15 million in FY2024 (+13.1%), $28.42 million in FY2023 (-65.2%), $81.63 million in FY2022 (-26.8%) and $111.5 million in FY2021 (+62.1%).
- Quarterly Capital Expenditures has ranged from $3.62 million in Q3 2023 to $56.62 million in Q4 2021 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in seven of the last eight quarters, with growth averaging 56.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 206.3% in Q4 2021, against a decline of 80.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.86 million (Q1 2026), $14.78 million (Q4 2025) and $8.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | -86.00 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 79.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | -44.58 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 26.80 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | -20.01 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 58.88 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 21.14 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 14.68 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 16.69 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 16.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.68 Mn |
| Jun 30, 2026 | 15.21 Mn |
| Mar 31, 2026 | 17.86 Mn |
| Dec 31, 2025 | 14.78 Mn |
| Sep 30, 2025 | 8.30 Mn |
| Jun 30, 2025 | 9.83 Mn |
| Mar 31, 2025 | 9.33 Mn |
| Dec 31, 2024 | 15.73 Mn |
| Sep 30, 2024 | 4.97 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 6.75 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 3.62 Mn |
| Jun 30, 2023 | 6.88 Mn |
| Mar 31, 2023 | 7.91 Mn |
| Dec 31, 2022 | 21.50 Mn |
| Sep 30, 2022 | 18.71 Mn |
| Jun 30, 2022 | 18.15 Mn |
| Mar 31, 2022 | 23.27 Mn |
| Dec 31, 2021 | 56.62 Mn |
API Access
EPAM Systems Capital Expenditures 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=capital-expenditures&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();