EPAM Systems (EPAM) Other Non-Current Liabilities (2011 - 2026)
EPAM Systems (EPAM) recorded Other Non-Current Liabilities of $62.9 million in Q2 2026, down 15.7% from $74.59 million a year earlier but up 0.8% from the prior quarter.
EPAM Systems (EPAM) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, EPAM Systems reported Other Non-Current Liabilities of $63.89 million, down 22.4% from FY2024.
- Annual Other Non-Current Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $82.3 million in FY2024 (-10.4%), $91.83 million in FY2023 (-15.5%), $108.65 million in FY2022 (+19.5%) and $90.93 million in FY2021 (+109.3%).
- Quarterly Other Non-Current Liabilities has ranged from $48.7 million in Q2 2022 to $112.84 million in Q3 2023 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 19.6% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 114.5% in Q2 2023, against a decline of 25.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $62.42 million (Q1 2026), $63.89 million (Q4 2025) and $69.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.90 Mn |
| Mar 31, 2026 | 62.42 Mn |
| Dec 31, 2025 | 63.89 Mn |
| Sep 30, 2025 | 69.48 Mn |
| Jun 30, 2025 | 74.59 Mn |
| Mar 31, 2025 | 78.39 Mn |
| Dec 31, 2024 | 82.30 Mn |
| Sep 30, 2024 | 93.64 Mn |
| Jun 30, 2024 | 93.76 Mn |
| Mar 31, 2024 | 104.21 Mn |
| Dec 31, 2023 | 91.83 Mn |
| Sep 30, 2023 | 112.84 Mn |
| Jun 30, 2023 | 104.45 Mn |
| Mar 31, 2023 | 111.88 Mn |
| Dec 31, 2022 | 108.65 Mn |
| Sep 30, 2022 | 98.10 Mn |
| Jun 30, 2022 | 94.14 Mn |
| Mar 31, 2022 | 99.20 Mn |
| Dec 31, 2021 | 90.93 Mn |
| Sep 30, 2021 | 95.99 Mn |
EPAM Systems Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();