Curis (CRIS) Times Interest Earned (2013 - 2019)
Curis' Times Interest Earned came in at -30.79 for FY2019, compared with -7.47 in FY2018.
Analysis
Curis (CRIS) Times Interest Earned (2013 - 2019) Analysis & Trends
Going back to FY2012, Curis' Times Interest Earned data covers 8 years.
- The FY2019 figure represents the lowest annual Times Interest Earned since FY2012.
- Per Business Quant, earlier years put Times Interest Earned at -7.47 in FY2018, -12.55 in FY2017, -20.90 in FY2016 and -16.99 in FY2015.
Peer Set
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 | Curis | 1.64 Mn | -32.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -7.03 |
| Dec 31, 2018 | -5.50 |
| Sep 30, 2018 | -6.60 |
| Jun 30, 2018 | -7.92 |
| Mar 31, 2018 | -9.67 |
| Dec 31, 2017 | -6.59 |
| Sep 30, 2017 | -13.05 |
| Jun 30, 2017 | -11.71 |
| Mar 31, 2017 | -22.95 |
| Dec 31, 2016 | -16.53 |
| Sep 30, 2016 | -42.30 |
| Jun 30, 2016 | -14.65 |
| Mar 31, 2016 | -11.90 |
| Dec 31, 2015 | -16.81 |
| Sep 30, 2015 | -5.86 |
| Jun 30, 2015 | -8.74 |
| Mar 31, 2015 | -35.78 |
| Dec 31, 2014 | -5.26 |
| Sep 30, 2014 | -5.09 |
| Jun 30, 2014 | -1.63 |
API Access
Curis 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=CRIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();