Eplus (PLUS) Long-Term Debt Repayments (2010 - 2025)
Eplus (PLUS) recorded Long-Term Debt Repayments of -$17 million in fiscal Q4 2025 (quarter ended Mar 31, 2025), compared with -$19.62 million a year earlier.
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Analysis
Eplus (PLUS) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
For FY2024 (ended Mar 31, 2024), Eplus reported Long-Term Debt Repayments of $258 million, up 31.6% from FY2023.
- Annual Long-Term Debt Repayments has increased for four straight fiscal years, with a five-year compound annual growth rate of 43.1% (FY2019 to FY2024).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $196.07 million in FY2023 (+96.1%), $99.99 million in FY2022 (+34.5%), $74.33 million in FY2021 (+133.1%) and $31.88 million in FY2020 (-26.0%).
- Quarterly Long-Term Debt Repayments has ranged from -$19.62 million in fiscal Q4 2024 to $138.53 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last five quarters, with growth averaging 17.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 196.3% in fiscal Q3 2024, against a decline of 97.3% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.63 million (Q3 2025), $9.91 million (Q2 2025) and $4.47 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | - |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | - |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 700.23 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | - |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 575.98 Mn |
| 10 | Eplus | 2.37 Bn | 807.30 Mn | 180.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -17.00 Mn |
| Dec 31, 2024 | 2.63 Mn |
| Sep 30, 2024 | 9.91 Mn |
| Jun 30, 2024 | 4.47 Mn |
| Mar 31, 2024 | -19.62 Mn |
| Dec 31, 2023 | 97.51 Mn |
| Sep 30, 2023 | 138.53 Mn |
| Jun 30, 2023 | 41.57 Mn |
| Mar 31, 2023 | 108.57 Mn |
| Dec 31, 2022 | 32.91 Mn |
| Sep 30, 2022 | 50.95 Mn |
| Jun 30, 2022 | 3.65 Mn |
| Mar 31, 2022 | 67.89 Mn |
| Dec 31, 2021 | 2.71 Mn |
| Sep 30, 2021 | 24.57 Mn |
| Jun 30, 2021 | 4.82 Mn |
| Mar 31, 2021 | 32.46 Mn |
| Dec 31, 2020 | 1.34 Mn |
| Sep 30, 2020 | 38.66 Mn |
| Jun 30, 2020 | 1.87 Mn |
API Access
Eplus 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=PLUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PLUS", "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=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();