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.
Powered by 
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 | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Eplus | 2.34 Bn | 749.91 Mn | 151.33 Mn | 795.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 526.34 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();