Marker Therapeutics (MRKR) Non-Current Debt (2013 - 2015)
Marker Therapeutics (MRKR) posted Non-Current Debt of $85,222 for Q4 2012, up 328.3% from $19,900 a year earlier and up 40.2% from the prior quarter.
Powered by 
Analysis
Marker Therapeutics (MRKR) Non-Current Debt (2013 - 2015) Analysis & Trends
For FY2012, Marker Therapeutics' Non-Current Debt came in at $205,543.
- In prior years, Marker Therapeutics' Non-Current Debt was -$11,400 in FY2011 and $243,205 in FY2010.
- The Q4 2012 figure stands as the highest quarterly Non-Current Debt since Q4 2010.
- On a year-over-year basis, Non-Current Debt increased in three of the last four quarters, with growth averaging 156.0%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $60,777 (Q3 2012), $38,644 (Q2 2012) and $20,900 (Q1 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 35.80 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Marker Therapeutics | 20.86 Mn | -39.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 30,000.00 |
| Sep 30, 2015 | 52,942.00 |
| Jun 30, 2015 | 52,942.00 |
| Mar 31, 2015 | 52,942.00 |
| Dec 31, 2014 | 29,942.00 |
| Dec 31, 2013 | 369,000.00 |
API Access
Marker 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=MRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();