Teva Pharmaceutical Industries (TEVA) FCF Payout Ratio (2010 - 2018)
Teva Pharmaceutical Industries' (TEVA) FCF Payout Ratio came in at 0.01 for FY2018, down 99.0% from 0.67 in FY2017.
Analysis
Teva Pharmaceutical Industries (TEVA) FCF Payout Ratio (2010 - 2018) Analysis & Trends
Since FY2009, Teva Pharmaceutical Industries has reported FCF Payout Ratio for 10 years.
- The FY2018 figure stands as the lowest annual FCF Payout Ratio in data going back to FY2009.
- Business Quant data shows TEVA's FCF Payout Ratio at 0.67 in FY2017 (+53.0%), 0.44 in FY2016 (+80.0%), 0.24 in FY2015 (-12.1%) and 0.28 in FY2014 (-44.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 0.44 |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | - |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 0.48 |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 0.46 |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 0.39 |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | - |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 8.12 |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | Teva Pharmaceutical Industries | 46.38 Bn | 33.23 Bn | 2.15 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 0.01 |
| Dec 31, 2017 | 0.15 |
| Sep 30, 2017 | 0.21 |
| Jun 30, 2017 | 1.43 |
| Sep 30, 2016 | 0.27 |
| Jun 30, 2016 | 0.39 |
| Mar 31, 2016 | 0.25 |
| Dec 31, 2015 | 0.21 |
| Sep 30, 2015 | 0.31 |
| Jun 30, 2015 | 0.22 |
| Mar 31, 2015 | 0.25 |
| Dec 31, 2014 | 0.19 |
| Sep 30, 2014 | 0.24 |
| Jun 30, 2014 | 0.35 |
| Mar 31, 2014 | 0.43 |
| Dec 31, 2013 | 0.55 |
| Sep 30, 2013 | 1.22 |
| Jun 30, 2013 | 0.41 |
| Mar 31, 2013 | 0.34 |
| Dec 31, 2012 | 0.17 |
API Access
Teva Pharmaceutical Industries FCF Payout 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=fcf-payout-ratio&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();