Eplus (PLUS) Change in Accured Expenses (2010 - 2026)
Eplus (PLUS) recorded Change in Accured Expenses of $1.12 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), compared with -$7.86 million a year earlier and down 86.7% from the prior quarter.
Eplus (PLUS) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Eplus reported Change in Accured Expenses of $32.06 million, up 167.3% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $11.99 million in FY2025 (-76.8%), $51.6 million in FY2024 (+12.1%), $46.04 million in FY2023 (+242.7%) and $13.43 million in FY2022 (-63.9%).
- Quarterly Change in Accured Expenses has ranged from -$10.53 million in fiscal Q2 2025 to $27.34 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in 1 of the last four quarters, with an average decline of 9.8%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 469.6% in fiscal Q3 2023, against a decline of 88.2% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.39 million (Q3 2026), $9.71 million (Q2 2026) and $12.84 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 105.67 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 100.83 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -86.93 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | -67.67 Mn |
| 10 | Eplus | 2.35 Bn | 765.60 Mn | 151.33 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 8.39 Mn |
| Sep 30, 2025 | 9.71 Mn |
| Jun 30, 2025 | 12.84 Mn |
| Mar 31, 2025 | -7.86 Mn |
| Dec 31, 2024 | 23.34 Mn |
| Sep 30, 2024 | -10.53 Mn |
| Jun 30, 2024 | 7.04 Mn |
| Mar 31, 2024 | 9.32 Mn |
| Dec 31, 2023 | 27.34 Mn |
| Sep 30, 2023 | 2.65 Mn |
| Jun 30, 2023 | 12.30 Mn |
| Mar 31, 2023 | -9.29 Mn |
| Dec 31, 2022 | 24.23 Mn |
| Sep 30, 2022 | 22.49 Mn |
| Jun 30, 2022 | 8.61 Mn |
| Mar 31, 2022 | -3.36 Mn |
| Dec 31, 2021 | 4.25 Mn |
| Sep 30, 2021 | 16.99 Mn |
| Jun 30, 2021 | -4.45 Mn |
Eplus Change in Accured 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=change-in-accured-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();