Eplus (PLUS) Operating Expenses (2010 - 2026)
Eplus' Operating Expenses came in at $112.5 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.6% from $110.74 million a year earlier.
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Analysis
Eplus (PLUS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eplus reported Operating Expenses of $451.71 million, up 8.8% year-over-year; for FY2024 (ended Mar 31, 2024), it was $392.54 million, up 11.7% from FY2023.
- Operating Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 9.4% (FY2019 to FY2024).
- Going back by fiscal year, Operating Expenses was $351.36 million in FY2023 (+12.0%), $313.67 million in FY2022 (+9.2%), $287.22 million in FY2021 (-2.9%) and $295.91 million in FY2020 (+18.0%).
- The five-year range for quarterly Operating Expenses is $78.7 million (fiscal Q2 2022) to $115.19 million (fiscal Q3 2026).
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2024 (growth of 19.4%), and the weakest in fiscal Q1 2025 (a decline of 0.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 519.00 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 154.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 895.80 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 784.64 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 747.88 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 237.39 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 152.28 Mn |
| 10 | Eplus | 2.37 Bn | 807.30 Mn | 180.29 Mn | 123.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 123.76 Mn |
| Jun 30, 2026 | 112.50 Mn |
| Dec 31, 2025 | 115.19 Mn |
| Sep 30, 2025 | 113.29 Mn |
| Jun 30, 2025 | 110.74 Mn |
| Dec 31, 2024 | 108.61 Mn |
| Sep 30, 2024 | 100.31 Mn |
| Jun 30, 2024 | 95.42 Mn |
| Mar 31, 2024 | 101.33 Mn |
| Dec 31, 2023 | 95.76 Mn |
| Sep 30, 2023 | 99.50 Mn |
| Jun 30, 2023 | 95.94 Mn |
| Mar 31, 2023 | 89.91 Mn |
| Dec 31, 2022 | 91.91 Mn |
| Sep 30, 2022 | 89.20 Mn |
| Jun 30, 2022 | 80.34 Mn |
| Mar 31, 2022 | 80.88 Mn |
| Dec 31, 2021 | 81.03 Mn |
| Sep 30, 2021 | 78.70 Mn |
| Jun 30, 2021 | 73.06 Mn |
API Access
Eplus Operating Expenses 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=operating-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();