Marker Therapeutics (MRKR) Non Operating Interest Expenses (2010 - 2014)
Marker Therapeutics (MRKR) recorded Non Operating Interest Expenses of $10,925 in FY2015.
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Analysis
Marker Therapeutics (MRKR) Non Operating Interest Expenses (2010 - 2014) Analysis & Trends
Starting with FY2010, Marker Therapeutics' Non Operating Interest Expenses history includes 4 years.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -61.2% (FY2010 to FY2015).
- The FY2015 figure is the highest annual Non Operating Interest Expenses since FY2012.
- Per Business Quant data, MRKR's Non Operating Interest Expenses was $745,074 in FY2012 (+9.7%) and $679,332 in FY2011 (-45.3%).
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 | Marker Therapeutics | 17.87 Mn | -42.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 15,425.00 |
| Jun 30, 2012 | 100,246.00 |
| Mar 31, 2012 | 96,726.00 |
| Dec 31, 2011 | 120,755.00 |
| Sep 30, 2011 | 103,740.00 |
| Jun 30, 2011 | 98,127.00 |
| Mar 31, 2011 | 356,710.00 |
| Dec 31, 2010 | 446,660.00 |
| Sep 30, 2010 | 458,565.00 |
| Jun 30, 2010 | 170,257.00 |
API Access
Marker 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=MRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "MRKR", "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=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();