Relmada Therapeutics (RLMD) Non Operating Interest Expenses (2014 - 2015)
Relmada Therapeutics (RLMD) recorded Non Operating Interest Expenses of $1,172 in Q2 2016, down 28.6% from the prior quarter.
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Analysis
Relmada Therapeutics (RLMD) Non Operating Interest Expenses (2014 - 2015) Analysis & Trends
On a TTM basis, Relmada Therapeutics' Non Operating Interest Expenses came in at -$119,638 as of Dec 31, 2015; for FY2015, it was $4,922.
- Across earlier years, Non Operating Interest Expenses came in at $4,366 in FY2014 (-98.0%) and $220,307 in FY2013.
- Quarterly Non Operating Interest Expenses has ranged from -$122,577 in Q4 2015 to $1,642 in Q1 2016 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1,642 (Q1 2016), -$122,577 (Q4 2015) and $125.00 (Q3 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Relmada Therapeutics | 402.15 Mn | 402.15 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1,172.00 |
| Sep 30, 2015 | 1,642.00 |
| Jun 30, 2015 | -123,244.00 |
| Mar 31, 2015 | 125.00 |
| Dec 31, 2014 | 1,098.00 |
| Sep 30, 2014 | 3,268.00 |
| Mar 31, 2014 | 123,800.00 |
API Access
Relmada Therapeutics Non Operating Interest Expenses 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-operating-interest-expenses&ticker=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();