Eplus (PLUS) Operating Interest Expenses (2011 - 2018)
Eplus (PLUS) posted Operating Interest Expenses of $443,000 for fiscal Q3 2019 (quarter ended Dec 31, 2018), up 64.1% from $270,000 a year earlier but down 8.5% from the prior quarter.
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Analysis
Eplus (PLUS) Operating Interest Expenses (2011 - 2018) Analysis & Trends
For the trailing twelve months through Dec 31, 2018, Operating Interest Expenses at Eplus was $1.7 million, up 31.6% year-over-year; for FY2018 (ended Mar 31, 2018), it came in at $1.2 million, down 22.6% from FY2017.
- Annual Operating Interest Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -8.5% (FY2013 to FY2018).
- In prior fiscal years, Eplus' Operating Interest Expenses was $1.54 million in FY2017 (-13.2%), $1.78 million in FY2016 (-25.3%), $2.38 million in FY2015 (+22.1%) and $1.95 million in FY2014 (+4.3%).
- Quarterly Operating Interest Expenses has run from a low of $270,000 in fiscal Q3 2018 to a high of $611,000 in fiscal Q2 2015 over five years.
- On a year-over-year basis, Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 10.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Interest Expenses in the past five years was fiscal Q2 2019, with growth of 76.6%; the weakest was fiscal Q1 2017, with a decline of 36.9%.
- According to Business Quant data, Operating Interest Expenses for the three prior fiscal quarters was $484,000 (Q2 2019), $476,000 (Q1 2019) and $292,000 (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (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 | -35.83 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, 2018 | 443,000.00 |
| Sep 30, 2018 | 484,000.00 |
| Jun 30, 2018 | 476,000.00 |
| Mar 31, 2018 | 292,000.00 |
| Dec 31, 2017 | 270,000.00 |
| Sep 30, 2017 | 274,000.00 |
| Jun 30, 2017 | 359,000.00 |
| Mar 31, 2017 | 385,000.00 |
| Dec 31, 2016 | 409,000.00 |
| Sep 30, 2016 | 400,000.00 |
| Jun 30, 2016 | 349,000.00 |
| Mar 31, 2016 | 407,000.00 |
| Dec 31, 2015 | 396,000.00 |
| Sep 30, 2015 | 422,000.00 |
| Jun 30, 2015 | 553,000.00 |
| Mar 31, 2015 | 549,000.00 |
| Dec 31, 2014 | 575,000.00 |
| Sep 30, 2014 | 611,000.00 |
| Jun 30, 2014 | 553,000.00 |
| Mar 31, 2014 | 559,000.00 |
API Access
Eplus Operating Interest 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-interest-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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-interest-expenses&ticker=PLUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();