Teva Pharmaceutical Industries (TEVA) Price to Earnings (2009 - 2026)
Teva Pharmaceutical Industries' (TEVA) Price to Earnings was 55.92 for Q2 2026, up 149.4% from the prior quarter.
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Analysis
Teva Pharmaceutical Industries (TEVA) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Teva Pharmaceutical Industries was 28.78.
- By year, Price to Earnings came in at 23.05 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Price to Earnings since Q2 2020.
- Per Business Quant data, the three quarters before Q2 2026 came in at 22.42 (Q1 2026), 28.80 (Q4 2025) and 32.55 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Teva Pharmaceutical Industries | 46.06 Bn | 32.91 Bn | 2.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.92 |
| Mar 31, 2026 | 22.42 |
| Dec 31, 2025 | 28.80 |
| Sep 30, 2025 | 32.55 |
| Dec 31, 2021 | 23.05 |
| Sep 30, 2021 | 14.80 |
| Jun 30, 2020 | 2,702.19 |
| Mar 31, 2017 | 417.99 |
| Dec 31, 2016 | 598.42 |
| Sep 30, 2016 | 29.38 |
| Jun 30, 2016 | 37.92 |
| Mar 31, 2016 | 32.04 |
| Dec 31, 2015 | 42.40 |
| Sep 30, 2015 | 30.43 |
| Jun 30, 2015 | 22.19 |
| Mar 31, 2015 | 21.62 |
| Dec 31, 2014 | 18.01 |
| Sep 30, 2014 | 18.52 |
| Jun 30, 2014 | 19.22 |
| Mar 31, 2014 | 36.18 |
API Access
Teva Pharmaceutical Industries Price to Earnings 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=price-to-earnings&ticker=TEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();