Teva Pharmaceutical Industries (TEVA) Acquisitions (2010 - 2024)
Teva Pharmaceutical Industries' Acquisitions was $15 million in FY2024.
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Analysis
Teva Pharmaceutical Industries (TEVA) Acquisitions (2010 - 2024) Analysis & Trends
From FY2010 onward, Teva Pharmaceutical Industries has reported Acquisitions for 9 years.
- The FY2024 figure marks the highest annual Acquisitions since FY2016.
- Per Business Quant data, Acquisitions in earlier years was $7 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -17.24 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 | -23.00 Mn |
| 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 | 11.21 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15.00 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Sep 30, 2017 | -43.00 Mn |
| Dec 31, 2016 | 274.00 Mn |
| Sep 30, 2016 | 33.56 Bn |
| Jun 30, 2016 | 76.00 Mn |
| Mar 31, 2016 | 2.24 Bn |
| Dec 31, 2015 | 5.00 Mn |
| Sep 30, 2015 | 43.00 Mn |
| Jun 30, 2015 | 3.26 Bn |
| Sep 30, 2014 | 200.00 Mn |
| Mar 31, 2014 | 163.00 Mn |
| Sep 30, 2013 | 39.00 Mn |
| Dec 31, 2011 | 5.20 Bn |
| Sep 30, 2011 | 914.00 Mn |
| Mar 31, 2011 | 446.00 Mn |
| Dec 31, 2010 | -11.00 Mn |
| Sep 30, 2010 | 4.96 Bn |
API Access
Teva Pharmaceutical Industries Acquisitions 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=acquisitions&ticker=TEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();