Aethlon Medical (AEMD) Debt Ratio (2011 - 2019)
Aethlon Medical's Debt Ratio came in at 0.30 for fiscal Q1 2020 (quarter ended Jun 30, 2019), up 30.4% from the prior quarter.
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Analysis
Aethlon Medical (AEMD) Debt Ratio (2011 - 2019) Analysis & Trends
For FY2019 (ended Mar 31, 2019), Aethlon Medical's Debt Ratio was 0.23.
- The fiscal Q1 2020 figure represents the highest quarterly Debt Ratio since fiscal Q2 2017.
- Business Quant data shows AEMD's Debt Ratio at 0.23 (Q4 2019), 0.19 (Q3 2019) and 0.17 (Q2 2019) in the three fiscal quarters before Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 0.04 |
| 10 | Aethlon Medical | 1.96 Mn | -21.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 0.30 |
| Mar 31, 2019 | 0.23 |
| Dec 31, 2018 | 0.19 |
| Sep 30, 2018 | 0.17 |
| Sep 30, 2016 | 0.64 |
| Dec 31, 2015 | 0.12 |
| Sep 30, 2015 | 0.07 |
| Jun 30, 2015 | 0.04 |
| Dec 31, 2014 | 0.01 |
| Sep 30, 2014 | 0.44 |
| Jun 30, 2014 | 0.42 |
| Mar 31, 2014 | 0.81 |
| Dec 31, 2013 | 1.07 |
| Sep 30, 2013 | 5.46 |
| Jun 30, 2013 | 11.58 |
| Mar 31, 2013 | 5.49 |
| Dec 31, 2012 | 7.80 |
| Sep 30, 2012 | 5.04 |
| Jun 30, 2012 | 3.50 |
| Mar 31, 2012 | 3.58 |
API Access
Aethlon Medical Debt Ratio 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=debt-ratio&ticker=AEMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "AEMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();