Eplus (PLUS) Cost of Revenue (2010 - 2026)
Eplus' Cost of Revenue came in at $497.78 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.8% from $489.1 million a year earlier.
Eplus (PLUS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eplus reported Cost of Revenue of $1.89 billion, up 15.8% year-over-year; for FY2024 (ended Mar 31, 2024), it came in at $1.67 billion, up 8.0% from FY2023.
- Cost of Revenue has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 9.9% (FY2019 to FY2024).
- Going back by fiscal year, Cost of Revenue was $1.55 billion in FY2023 (+14.0%), $1.36 billion in FY2022 (+15.8%), $1.17 billion in FY2021 (-1.9%) and $1.2 billion in FY2020 (+14.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- Year-over-year, Cost of Revenue increased in four of the last six quarters, with growth averaging 8.0%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2022 (growth of 32.0%), and the weakest in fiscal Q3 2024 (a decline of 22.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 3.55 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 3.75 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 1.84 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 5.37 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 20.13 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 8.87 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 980.49 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 392.82 Mn |
| 10 | Eplus | 2.37 Bn | 807.30 Mn | 180.29 Mn | 487.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 487.64 Mn |
| Jun 30, 2026 | 497.78 Mn |
| Dec 31, 2025 | 456.12 Mn |
| Sep 30, 2025 | 446.70 Mn |
| Jun 30, 2025 | 489.10 Mn |
| Dec 31, 2024 | 368.14 Mn |
| Sep 30, 2024 | 366.07 Mn |
| Jun 30, 2024 | 408.78 Mn |
| Mar 31, 2024 | 424.12 Mn |
| Dec 31, 2023 | 375.25 Mn |
| Sep 30, 2023 | 443.25 Mn |
| Jun 30, 2023 | 431.90 Mn |
| Mar 31, 2023 | 359.85 Mn |
| Dec 31, 2022 | 485.10 Mn |
| Sep 30, 2022 | 360.40 Mn |
| Jun 30, 2022 | 344.84 Mn |
| Mar 31, 2022 | 336.17 Mn |
| Dec 31, 2021 | 377.72 Mn |
| Sep 30, 2021 | 335.02 Mn |
| Jun 30, 2021 | 311.14 Mn |
Eplus Cost of Revenue 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=cost-of-revenue&ticker=PLUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();