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 11.6% (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 (+39.4%).
- 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 39.4%; the weakest was Q3 2023, with a decline of 14.7%.
- 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 | 51.35 Bn | -77.91 Bn | 1.60 Bn | -649.00 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 5.81 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 1.42 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 7.97 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 8.45 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 32.02 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 30.80 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 1.03 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 1.03 Bn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 10.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| 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 |
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();