Eplus (PLUS) Accumulated Expenses (2011 - 2021)
Eplus' Accumulated Expenses was $13.66 million in fiscal Q3 2022 (quarter ended Dec 31, 2021), up 4.7% from $13.05 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Eplus (PLUS) Accumulated Expenses (2011 - 2021) Analysis & Trends
At the end of FY2021 (ended Mar 31, 2021), Accumulated Expenses at Eplus came in at $13.6 million, up 35.7% from FY2020.
- Accumulated Expenses shows a five-year compound annual growth rate of 13.9% (FY2016 to FY2021).
- In earlier fiscal years, Accumulated Expenses was $10.02 million in FY2020 (+28.3%), $7.81 million in FY2019 (-6.3%), $8.34 million in FY2018 (+11.9%) and $7.45 million in FY2017 (+4.8%).
- Quarterly Accumulated Expenses has moved between $6.62 million (fiscal Q1 2019) and $13.86 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 11 straight quarters, with growth averaging 25.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2020 (growth of 44.8%); the worst was fiscal Q2 2019 (a decline of 16.8%).
- Per Business Quant data, PLUS's Accumulated Expenses in the three fiscal quarters before Q3 2022 was $13.86 million (Q2 2022), $13.64 million (Q1 2022) and $13.6 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn |
| 10 | Eplus | 2.37 Bn | 807.30 Mn | 180.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 13.66 Mn |
| Sep 30, 2021 | 13.86 Mn |
| Jun 30, 2021 | 13.64 Mn |
| Mar 31, 2021 | 13.60 Mn |
| Dec 31, 2020 | 13.05 Mn |
| Sep 30, 2020 | 10.64 Mn |
| Jun 30, 2020 | 11.30 Mn |
| Mar 31, 2020 | 10.02 Mn |
| Dec 31, 2019 | 9.64 Mn |
| Sep 30, 2019 | 8.85 Mn |
| Jun 30, 2019 | 8.83 Mn |
| Mar 31, 2019 | 7.81 Mn |
| Dec 31, 2018 | 6.66 Mn |
| Sep 30, 2018 | 7.08 Mn |
| Jun 30, 2018 | 6.62 Mn |
| Mar 31, 2018 | 8.34 Mn |
| Dec 31, 2017 | 7.91 Mn |
| Sep 30, 2017 | 8.51 Mn |
| Jun 30, 2017 | 7.13 Mn |
| Mar 31, 2017 | 7.45 Mn |
API Access
Eplus Accumulated 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=accumulated-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();