Electromed (ELMD) Non-Current Debt (2011 - 2017)
Electromed (ELMD) posted Non-Current Debt of $1.09 million for fiscal Q1 2018 (quarter ended Sep 30, 2017), down 4.5% from $1.14 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Electromed (ELMD) Non-Current Debt (2011 - 2017) Analysis & Trends
At the end of FY2017 (ended Jun 30, 2017), Electromed's Non-Current Debt came in at $1.1 million, down 4.3% from FY2016.
- Annual Non-Current Debt has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -4.6% (FY2012 to FY2017).
- In prior fiscal years, Electromed's Non-Current Debt was $1.15 million in FY2016 (-4.7%), $1.2 million in FY2015 (-3.9%), $1.25 million in FY2014 (-6.1%) and $1.33 million in FY2013 (-4.1%).
- The fiscal Q1 2018 figure stands as the lowest quarterly Non-Current Debt since fiscal Q3 2013.
- On a year-over-year basis, Non-Current Debt has declined in each of the last 14 quarters, with an average decline of 4.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Non-Current Debt ran from 3.7% in fiscal Q2 2015 to 98.7% in fiscal Q3 2013.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $1.1 million (Q4 2017), $1.11 million (Q3 2017) and $1.12 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Electromed | 235.42 Mn | 170.08 Mn | 15.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.09 Mn |
| Jun 30, 2017 | 1.10 Mn |
| Mar 31, 2017 | 1.11 Mn |
| Dec 31, 2016 | 1.12 Mn |
| Sep 30, 2016 | 1.14 Mn |
| Jun 30, 2016 | 1.15 Mn |
| Mar 31, 2016 | 1.17 Mn |
| Dec 31, 2015 | 1.18 Mn |
| Sep 30, 2015 | 1.19 Mn |
| Jun 30, 2015 | 1.20 Mn |
| Mar 31, 2015 | 1.21 Mn |
| Dec 31, 2014 | 1.23 Mn |
| Sep 30, 2014 | 1.24 Mn |
| Jun 30, 2014 | 1.25 Mn |
| Mar 31, 2014 | 1.26 Mn |
| Dec 31, 2013 | 1.27 Mn |
| Sep 30, 2013 | 1.32 Mn |
| Jun 30, 2013 | 1.33 Mn |
| Mar 31, 2013 | 18,326.00 |
| Dec 31, 2012 | 1.36 Mn |
API Access
Electromed Non-Current Debt 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-current-debt&ticker=ELMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=ELMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();