Relmada Therapeutics (RLMD) Debt Ratio (2014 - 2019)
Relmada Therapeutics' (RLMD) Debt Ratio came in at 0.00 for FY2019.
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Analysis
Relmada Therapeutics (RLMD) Debt Ratio (2014 - 2019) Analysis & Trends
Since FY2014, Relmada Therapeutics has reported Debt Ratio for 6 years.
- The FY2019 figure stands as the lowest annual Debt Ratio in data going back to FY2014.
- Business Quant data shows RLMD's Debt Ratio at 0.97 in FY2018 (+889.6%), 0.10 in FY2017 (+265.1%), 0.03 in FY2016 (+147.1%) and 0.01 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Relmada Therapeutics | 404.28 Mn | 404.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.03 |
| Jun 30, 2019 | 0.04 |
| Mar 31, 2019 | 0.01 |
| Dec 31, 2018 | 0.03 |
| Sep 30, 2018 | 2.18 |
| Jun 30, 2018 | 0.97 |
| Mar 31, 2018 | 0.33 |
| Dec 31, 2017 | 0.21 |
| Sep 30, 2017 | 0.16 |
| Jun 30, 2017 | 0.10 |
| Mar 31, 2017 | 0.01 |
| Dec 31, 2016 | 0.02 |
| Sep 30, 2016 | 0.02 |
| Jun 30, 2016 | 0.03 |
| Dec 31, 2015 | 0.01 |
| Sep 30, 2015 | 0.01 |
| Jun 30, 2015 | 0.01 |
| Dec 31, 2014 | 0.00 |
| Sep 30, 2014 | 0.01 |
API Access
Relmada Therapeutics 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=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "RLMD", "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=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();