EPAM Systems (EPAM) Operating Leases (2019 - 2026)
EPAM Systems (EPAM) recorded Operating Leases of $87.94 million in Q2 2026, down 9.5% from $97.22 million a year earlier but up 2.0% from the prior quarter.
Powered by 
Analysis
EPAM Systems (EPAM) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, EPAM Systems reported Operating Leases of $81.5 million, down 17.2% from FY2024.
- Annual Operating Leases has declined for six straight years, with a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $98.43 million in FY2024 (-9.9%), $109.26 million in FY2023 (-10.7%), $122.32 million in FY2022 (-14.3%) and $142.8 million in FY2021 (-20.9%).
- Quarterly Operating Leases has ranged from $81.5 million in Q4 2025 to $149.56 million in Q3 2021 over the past five years.
- On a year-over-year basis, Operating Leases has declined for 23 consecutive quarters, with an average decline of 10.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Leases ranged from 5.3% (Q3 2024) to 20.9% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $86.19 million (Q1 2026), $81.5 million (Q4 2025) and $89.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.41 Bn | 37.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.63 Bn | 24.79 Bn | 1.83 Bn |
| 3 | Wipro | 20.59 Bn | 15.29 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.79 Bn | 13.94 Bn | 1.43 Bn |
| 5 | Cdw | 19.53 Bn | 17.52 Bn | 1.32 Bn |
| 6 | Cgi | 17.51 Bn | 15.30 Bn | - |
| 7 | Arrow Electronics | 11.09 Bn | 10.04 Bn | 1.13 Bn |
| 8 | Avnet | 7.51 Bn | 6.69 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.75 Bn | 2.39 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.23 Bn | 4.97 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.94 Mn |
| Mar 31, 2026 | 86.19 Mn |
| Dec 31, 2025 | 81.50 Mn |
| Sep 30, 2025 | 89.72 Mn |
| Jun 30, 2025 | 97.22 Mn |
| Mar 31, 2025 | 93.62 Mn |
| Dec 31, 2024 | 98.43 Mn |
| Sep 30, 2024 | 102.55 Mn |
| Jun 30, 2024 | 103.65 Mn |
| Mar 31, 2024 | 110.37 Mn |
| Dec 31, 2023 | 109.26 Mn |
| Sep 30, 2023 | 108.33 Mn |
| Jun 30, 2023 | 115.99 Mn |
| Mar 31, 2023 | 117.91 Mn |
| Dec 31, 2022 | 122.32 Mn |
| Sep 30, 2022 | 122.70 Mn |
| Jun 30, 2022 | 130.89 Mn |
| Mar 31, 2022 | 140.81 Mn |
| Dec 31, 2021 | 142.80 Mn |
| Sep 30, 2021 | 149.56 Mn |
API Access
EPAM Systems Operating Leases 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=operating-leases&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();