CytomX Therapeutics (CTMX) Interest Coverage Ratio (2014 - 2017)
CytomX Therapeutics' Interest Coverage Ratio came in at -41.82 for Q1 2017, compared with -45.84 a year earlier.
CytomX Therapeutics (CTMX) Interest Coverage Ratio (2014 - 2017) Analysis & Trends
Over the trailing twelve months to Mar 31, 2017, CytomX Therapeutics reported Interest Coverage Ratio of -33.73; for FY2016, it came in at -35.28.
- Going back by year, Interest Coverage Ratio was -19.17 in FY2015, -61.12 in FY2014 and -58.88 in FY2013.
- The five-year range for quarterly Interest Coverage Ratio is -45.84 (Q1 2016) to -13.58 (Q2 2015).
- Business Quant data shows CTMX's Interest Coverage Ratio at -36.58 (Q4 2016), -30.95 (Q3 2016) and -30.66 (Q2 2016) in the three quarters before Q1 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.41 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 10.28 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | CytomX Therapeutics | 586.15 Mn | -371.52 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | -41.82 |
| Dec 31, 2016 | -36.58 |
| Sep 30, 2016 | -30.95 |
| Jun 30, 2016 | -30.66 |
| Mar 31, 2016 | -45.84 |
| Dec 31, 2015 | -30.65 |
| Sep 30, 2015 | -15.69 |
| Jun 30, 2015 | -13.58 |
| Mar 31, 2015 | -21.17 |
| Dec 31, 2014 | -42.74 |
| Sep 30, 2014 | -29.61 |
CytomX Therapeutics Interest Coverage Ratio 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-coverage-ratio&ticker=CTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "ticker": "CTMX", "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-coverage-ratio&ticker=CTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();