EPAM Systems (EPAM) Total Non-Current Liabilities (2011 - 2026)
EPAM Systems (EPAM) posted Total Non-Current Liabilities of $991.88 million for Q2 2026, up 2.5% from $967.75 million a year earlier but down 18.0% from the prior quarter.
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Analysis
EPAM Systems (EPAM) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, EPAM Systems' Total Non-Current Liabilities came in at $1.16 billion, up 11.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior years, EPAM Systems' Total Non-Current Liabilities was $1.04 billion in FY2024 (+31.4%), $789.06 million in FY2023 (-12.1%), $897.49 million in FY2022 (-4.2%) and $936.46 million in FY2021 (+34.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $725.91 million in Q2 2023 to a high of $1.21 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last nine quarters, with growth averaging 20.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 34.8%; the weakest was Q2 2023, with a decline of 18.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.21 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 1.39 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 32.02 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 6.52 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 17.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 991.88 Mn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 967.75 Mn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 808.93 Mn |
| Jun 30, 2024 | 731.61 Mn |
| Mar 31, 2024 | 794.69 Mn |
| Dec 31, 2023 | 789.06 Mn |
| Sep 30, 2023 | 749.41 Mn |
| Jun 30, 2023 | 725.91 Mn |
| Mar 31, 2023 | 829.02 Mn |
| Dec 31, 2022 | 897.49 Mn |
| Sep 30, 2022 | 878.86 Mn |
| Jun 30, 2022 | 845.82 Mn |
| Mar 31, 2022 | 854.62 Mn |
| Dec 31, 2021 | 936.46 Mn |
| Sep 30, 2021 | 807.13 Mn |
API Access
EPAM Systems Total 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=total-non-current-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();