Eplus (PLUS) Total Liabilities (2011 - 2026)
Eplus (PLUS) recorded Total Liabilities of $795.02 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.7% from $781.56 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Eplus (PLUS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Eplus reported Total Liabilities of $731.98 million, down 19.4% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $908.43 million in FY2025 (+20.2%), $756.03 million in FY2024 (+18.3%), $639.11 million in FY2023 (+26.4%) and $505.47 million in FY2022 (-1.7%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities since fiscal Q4 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 1.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 49.6% in fiscal Q1 2024, against a decline of 19.4% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $731.98 million (Q4 2026), $768.39 million (Q3 2026) and $720.75 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 6.67 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 6.60 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 16.95 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 32.54 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 31.30 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 1.09 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 1.15 Bn |
| 10 | Eplus | 2.37 Bn | 807.30 Mn | 180.29 Mn | 898.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 898.97 Mn |
| Jun 30, 2026 | 795.02 Mn |
| Mar 31, 2026 | 731.98 Mn |
| Dec 31, 2025 | 768.39 Mn |
| Sep 30, 2025 | 720.75 Mn |
| Jun 30, 2025 | 781.56 Mn |
| Mar 31, 2025 | 908.43 Mn |
| Dec 31, 2024 | 803.44 Mn |
| Sep 30, 2024 | 753.06 Mn |
| Jun 30, 2024 | 729.05 Mn |
| Mar 31, 2024 | 756.03 Mn |
| Dec 31, 2023 | 717.84 Mn |
| Sep 30, 2023 | 773.09 Mn |
| Jun 30, 2023 | 867.52 Mn |
| Mar 31, 2023 | 639.11 Mn |
| Dec 31, 2022 | 851.45 Mn |
| Sep 30, 2022 | 665.70 Mn |
| Jun 30, 2022 | 579.86 Mn |
| Mar 31, 2022 | 505.47 Mn |
| Dec 31, 2021 | 615.85 Mn |
API Access
Eplus 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=PLUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();