Electromed (ELMD) Interest Expenses (2009 - 2018)
Electromed (ELMD) posted Interest Expenses of $20,206 for fiscal Q1 2016 (quarter ended Sep 30, 2015), down 1.2% from $20,453 a year earlier and down 0.1% from the prior quarter.
Electromed (ELMD) Interest Expenses (2009 - 2018) Analysis & Trends
For the trailing twelve months through Sep 30, 2015, Interest Expenses at Electromed was $85,464, up 1.4% year-over-year; for FY2015 (ended Jun 30, 2015), it came in at $85,710, up 8.5% from FY2014.
- Annual Interest Expenses shows a four-year compound annual growth rate of -18.2% (FY2011 to FY2015).
- In prior fiscal years, Electromed's Interest Expenses was $79,002 in FY2014 (-32.4%), $116,883 in FY2013 (-30.7%), $168,731 in FY2012 (-11.8%) and $191,332 in FY2011.
- The fiscal Q1 2016 figure stands as the lowest quarterly Interest Expenses since fiscal Q2 2014.
- On a year-over-year basis, Interest Expenses has declined in each of the last three quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q1 2015, with growth of 34.5%; the weakest was fiscal Q1 2014, with a decline of 58.6%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $20,226 (Q4 2015), $20,355 (Q3 2015) and $24,677 (Q2 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -417.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Electromed | 225.19 Mn | 158.09 Mn | 14.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 29,974.00 |
| Sep 30, 2018 | 13,452.00 |
| Jun 30, 2018 | 8.43 Bn |
| Mar 31, 2018 | -8.43 Bn |
| Dec 31, 2017 | -9.09 Bn |
| Sep 30, 2017 | -4.20 Bn |
| Jun 30, 2017 | 8,732.00 |
| Mar 31, 2017 | 8,831.00 |
| Dec 31, 2016 | 15,598.00 |
| Sep 30, 2016 | 16,707.00 |
| Jun 30, 2016 | 15,656.00 |
| Mar 31, 2016 | 13,064.00 |
| Dec 31, 2015 | 17,880.00 |
| Sep 30, 2015 | 20,206.00 |
| Jun 30, 2015 | 20,226.00 |
| Mar 31, 2015 | 20,355.00 |
| Dec 31, 2014 | 24,677.00 |
| Sep 30, 2014 | 20,453.00 |
| Jun 30, 2014 | 21,010.00 |
| Mar 31, 2014 | 23,321.00 |
Electromed 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=interest-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ELMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();