Electromed (ELMD) Net Long-Term Debt Issued (Repaid) (2010 - 2022)
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.
Electromed (ELMD) Net Long-Term Debt Issued (Repaid) (2010 - 2022) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Electromed | 225.19 Mn | 158.09 Mn | 14.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -10,000.00 |
| Mar 31, 2022 | -54,000.00 |
| Sep 30, 2021 | -53,000.00 |
| Dec 31, 2018 | -1.09 Mn |
| Sep 30, 2018 | -12,902.00 |
| Jun 30, 2018 | -12,773.00 |
| Mar 31, 2018 | -12,886.00 |
| Dec 31, 2017 | -12,644.00 |
| Sep 30, 2017 | -12,397.00 |
| Jun 30, 2017 | -12,274.00 |
| Mar 31, 2017 | -12,417.00 |
| Dec 31, 2016 | -11,538.00 |
| Sep 30, 2016 | -12,518.00 |
| Jun 30, 2016 | -12,350.00 |
| Mar 31, 2016 | -12,351.00 |
| Dec 31, 2015 | -12,188.00 |
| Sep 30, 2015 | -11,858.00 |
| Jun 30, 2015 | -11,698.00 |
| Mar 31, 2015 | -11,885.00 |
| Dec 31, 2014 | -11,558.00 |
Electromed Net Long-Term Debt Issued (Repaid) 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_KEY
import 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();