EPAM Systems (EPAM) Long-Term Debt Repayments (2016 - 2026)
EPAM Systems (EPAM) posted Long-Term Debt Repayments of $180.03 million for Q2 2026, compared with $404,000 a year earlier.
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Analysis
EPAM Systems (EPAM) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at EPAM Systems was $187.36 million; for FY2025, it came in at $8.26 million, up 342.9% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 240.7% (FY2020 to FY2025).
- In prior years, EPAM Systems' Long-Term Debt Repayments was $1.87 million in FY2024 (-37.2%), $2.97 million in FY2023 (-80.9%), $15.54 million in FY2022 (-50.0%) and $31.05 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q1 2016.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last six quarters, with an average decline of 4.0%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2025, with growth of 102.1%; the weakest was Q4 2023, with a decline of 91.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $155,000 (Q1 2026), $6.42 million (Q4 2025) and $754,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | - |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 700.23 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | - |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | - |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 88.95 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 575.98 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 32.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.03 Mn |
| Mar 31, 2026 | 155,000.00 |
| Dec 31, 2025 | 6.42 Mn |
| Sep 30, 2025 | 754,000.00 |
| Jun 30, 2025 | 404,000.00 |
| Mar 31, 2025 | 684,000.00 |
| Dec 31, 2024 | 368,000.00 |
| Sep 30, 2024 | 373,000.00 |
| Jun 30, 2024 | 535,000.00 |
| Mar 31, 2024 | 589,000.00 |
| Dec 31, 2023 | 362,000.00 |
| Sep 30, 2023 | 643,000.00 |
| Jun 30, 2023 | 553,000.00 |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 786,000.00 |
| Jun 30, 2022 | 3.92 Mn |
| Mar 31, 2022 | 6.84 Mn |
| Dec 31, 2021 | 31.05 Mn |
| Dec 31, 2019 | 2,000.00 |
API Access
EPAM Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EPAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EPAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();