EPAM Systems (EPAM) Total Liabilities (2011 - 2026)
EPAM Systems (EPAM) reported Total Liabilities of $1.05 billion for Q2 2026, up 1.2% from $1.04 billion a year earlier but down 17.1% from the prior quarter.
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Analysis
EPAM Systems (EPAM) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, EPAM Systems posted Total Liabilities of $1.22 billion, up 9.4% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.12 billion in FY2024 (+27.1%), $880.9 million in FY2023 (-12.4%), $1.01 billion in FY2022 (-2.1%) and $1.03 billion in FY2021 (+39.2%).
- Five-year quarterly Total Liabilities spans a low of $825.37 million in Q2 2024 and a high of $1.27 billion in Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last eight quarters, with growth averaging 16.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 39.2%); the low point was Q4 2023 (a decline of 12.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.27 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 3.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.12 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 902.57 Mn |
| Jun 30, 2024 | 825.37 Mn |
| Mar 31, 2024 | 898.89 Mn |
| Dec 31, 2023 | 880.90 Mn |
| Sep 30, 2023 | 862.25 Mn |
| Jun 30, 2023 | 830.36 Mn |
| Mar 31, 2023 | 940.90 Mn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 976.96 Mn |
| Jun 30, 2022 | 939.96 Mn |
| Mar 31, 2022 | 953.81 Mn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 903.11 Mn |
API Access
EPAM Systems Total 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-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();