Relmada Therapeutics (RLMD) Non-Current Debt (2014 - 2019)
Relmada Therapeutics (RLMD) posted Non-Current Debt of $3.19 million for Q1 2019, up 370.3% from $678,875 a year earlier and up 20.2% from the prior quarter.
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Analysis
Relmada Therapeutics (RLMD) Non-Current Debt (2014 - 2019) Analysis & Trends
At the end of FY2018, Relmada Therapeutics' Non-Current Debt came in at $2.66 million.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $2.66 million (Q4 2018), $1.58 million (Q3 2018) and $1.28 million (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.92 Bn | 1,105.50 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 617.57 Bn | 536.10 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 501.37 Bn | 474.48 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 367.96 Bn | 322.33 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.98 Bn | 261.97 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.14 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.30 Bn | 191.70 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 190.27 Bn | 164.46 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 169.65 Bn | 116.29 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Relmada Therapeutics | 367.47 Mn | -191.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 110,200.00 |
| Sep 30, 2019 | 255,900.00 |
| Jun 30, 2019 | 364,200.00 |
| Mar 31, 2019 | 28,800.00 |
| Dec 31, 2018 | 114,700.00 |
| Sep 30, 2018 | 3.39 Mn |
| Jun 30, 2018 | 2.94 Mn |
| Mar 31, 2018 | 1.60 Mn |
| Dec 31, 2017 | 1.39 Mn |
| Sep 30, 2017 | 873,075.00 |
| Jun 30, 2017 | 276,700.00 |
| Mar 31, 2017 | 27,600.00 |
| Dec 31, 2016 | 110,000.00 |
| Sep 30, 2016 | 164,400.00 |
| Jun 30, 2016 | 273,700.00 |
| Dec 31, 2015 | 88,500.00 |
| Sep 30, 2015 | 176,400.00 |
| Jun 30, 2015 | 263,800.00 |
| Jun 30, 2014 | 58,400.00 |
API Access
Relmada Therapeutics 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=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();