Relmada Therapeutics (RLMD) Non Operating Interest Expenses (2013 - 2015)
Relmada Therapeutics (RLMD) recorded Non Operating Interest Expenses of $1,172 in Q2 2016, down 28.6% from the prior quarter.
Powered by 
Analysis
Relmada Therapeutics (RLMD) Non Operating Interest Expenses (2013 - 2015) Analysis & Trends
On a TTM basis, Relmada Therapeutics' Non Operating Interest Expenses came in at -$120,305 as of Dec 31, 2015; for FY2015, it was $4,922, down 98.9% from FY2014.
- Across earlier years, Non Operating Interest Expenses came in at $435,611 in FY2014 and $220,307 in FY2013.
- Quarterly Non Operating Interest Expenses has ranged from -$123,244 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), -$123,244 (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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Relmada Therapeutics | 455.48 Mn | -103.11 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 |
| Sep 30, 2013 | 67,008.00 |
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();