Teva Pharmaceutical Industries (TEVA) Convertible Debt (2009 - 2010)
Teva Pharmaceutical Industries (TEVA) posted Convertible Debt of $13 million for Q4 2010, down 98.4% from $817 million a year earlier and down 7.1% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Convertible Debt (2009 - 2010) Analysis & Trends
Since Q1 2009, Teva Pharmaceutical Industries has reported Convertible Debt for 8 quarters.
- In prior years, Teva Pharmaceutical Industries' Convertible Debt was $817 million in FY2009.
- The Q4 2010 figure stands as the lowest quarterly Convertible Debt in data going back to Q1 2009.
- On a year-over-year basis, Convertible Debt has declined in each of the last four quarters, with an average decline of 97.6% over the last four quarters.
- According to Business Quant data, Convertible Debt for the three prior quarters was $14 million (Q3 2010), $21 million (Q2 2010) and $47 million (Q1 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Teva Pharmaceutical Industries | 45.31 Bn | 32.16 Bn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 13.00 Mn |
| Sep 30, 2010 | 14.00 Mn |
| Jun 30, 2010 | 21.00 Mn |
| Mar 31, 2010 | 47.00 Mn |
| Dec 31, 2009 | 817.00 Mn |
| Sep 30, 2009 | 832.00 Mn |
| Jun 30, 2009 | 861.00 Mn |
| Mar 31, 2009 | 1.21 Bn |
Teva Pharmaceutical Industries Convertible 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=convertible-debt&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "TEVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();