CytomX Therapeutics (CTMX) Times Interest Earned (2014 - 2017)
CytomX Therapeutics' (CTMX) Times Interest Earned came in at -41.82 for Q1 2017, compared with -45.84 a year earlier.
CytomX Therapeutics (CTMX) Times Interest Earned (2014 - 2017) Analysis & Trends
For the trailing twelve months through Mar 31, 2017, Times Interest Earned at CytomX Therapeutics was -33.73; for FY2016, it was -35.28.
- In prior years, CytomX Therapeutics' Times Interest Earned was -19.17 in FY2015, -61.12 in FY2014 and -58.88 in FY2013.
- Quarterly Times Interest Earned has run from a low of -45.84 in Q1 2016 to a high of -13.58 in Q2 2015 over five years.
- According to Business Quant data, Times Interest Earned for the three prior quarters was -36.58 (Q4 2016), -30.95 (Q3 2016) and -30.66 (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | CytomX Therapeutics | 592.69 Mn | -364.98 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 Times Interest Earned 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=times-interest-earned&ticker=CTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=CTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();