Electromed (ELMD) Non Operating Interest Expenses (2009 - 2017)
Electromed's Non Operating Interest Expenses was $20,206 in 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.
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Analysis
Electromed (ELMD) Non Operating Interest Expenses (2009 - 2017) Analysis & Trends
On a trailing twelve-month basis, Electromed's Non Operating Interest Expenses was $85,464 through Sep 30, 2015, up 1.4% year-over-year; for FY2015 (ended Jun 30, 2015), it was $85,710, up 8.5% from FY2014.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of -18.2% (FY2011 to FY2015).
- In earlier fiscal years, Non Operating 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 marks the lowest quarterly Non Operating Interest Expenses since fiscal Q2 2014.
- Compared with a year earlier, Non Operating Interest Expenses has declined for three straight quarters, with an average decline of 2.2% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q1 2015 (growth of 34.5%); the worst was fiscal Q1 2014 (a decline of 58.6%).
- Per Business Quant data, ELMD's Non Operating Interest Expenses in the three fiscal quarters before Q1 2016 was $20,226 (Q4 2015), $20,355 (Q3 2015) and $24,677 (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 4,894.00 |
| Sep 30, 2017 | 4,199.00 |
| 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 |
| Dec 31, 2013 | 19,469.00 |
| Sep 30, 2013 | 15,202.00 |
| Jun 30, 2013 | 25,210.00 |
| Mar 31, 2013 | 29,158.00 |
API Access
Electromed Non 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=non-operating-interest-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();