Medicinova (MNOV) Interest Expenses (2010 - 2015)
Medicinova (MNOV) recorded Interest Expenses of $298.00 in FY2017, down 34.4% from $454.00 in FY2016.
Analysis
Medicinova (MNOV) Interest Expenses (2010 - 2015) Analysis & Trends
Starting with FY2009, Medicinova's Interest Expenses history includes 7 years.
- Annual Interest Expenses has declined for three straight years, with a three-year compound annual growth rate of -22.0% (FY2014 to FY2017).
- The FY2017 figure is the lowest annual Interest Expenses in data going back to FY2009.
- Per Business Quant data, MNOV's Interest Expenses was $454.00 in FY2016 (-11.7%), $514.00 in FY2015 (-18.2%) and $628.00 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | Medicinova | 82.20 Mn | 82.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 140.00 |
| Dec 31, 2014 | 151.00 |
| Sep 30, 2014 | 173.00 |
| Jun 30, 2014 | 181.00 |
| Mar 31, 2014 | 123.00 |
| Dec 31, 2011 | -1.00 |
| Sep 30, 2011 | -1,038.00 |
| Jun 30, 2011 | 943,745.00 |
| Mar 31, 2011 | 652,387.00 |
| Dec 31, 2010 | 658,629.00 |
| Sep 30, 2010 | 659,282.00 |
| Jun 30, 2010 | 406,269.00 |
API Access
Medicinova 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=interest-expenses&ticker=MNOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MNOV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=MNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();