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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Eplus | 2.34 Bn | 749.91 Mn | 151.33 Mn | - |
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 |
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_KEY
import 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();