Pfizer (PFE) Acquisitions (2009 - 2023)
Pfizer's Acquisitions came in at $6.93 billion for FY2025.
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Analysis
Pfizer (PFE) Acquisitions (2009 - 2023) Analysis & Trends
Going back to FY2009, Pfizer's Acquisitions data covers 13 years.
- Acquisitions carries a three-year compound annual growth rate of -33.0% (FY2022 to FY2025).
- The FY2025 figure represents the lowest annual Acquisitions since FY2017.
- Per Business Quant, earlier years put Acquisitions at $43.43 billion in FY2023 (+88.9%) and $23 billion in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.75 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | -17.24 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 23.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.21 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 133.33 Bn | 105.34 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 43.41 Bn |
| Jul 2, 2023 | 25.00 Mn |
| Dec 31, 2022 | 16.77 Bn |
| Apr 3, 2022 | 6.23 Bn |
| Jul 2, 2017 | 415.00 Mn |
| Apr 2, 2017 | 585.00 Mn |
| Dec 31, 2016 | 689.00 Mn |
| Oct 2, 2016 | 13.06 Bn |
| Jul 3, 2016 | 4.51 Bn |
| Apr 3, 2016 | 110.00 Mn |
| Dec 31, 2015 | 144.00 Mn |
| Sep 27, 2015 | 15.64 Bn |
| Jun 28, 2015 | 1.00 Mn |
| Mar 29, 2015 | 678.00 Mn |
| Sep 28, 2014 | 195.00 Mn |
| Jun 30, 2013 | 15.00 Mn |
| Dec 31, 2012 | 268.00 Mn |
| Apr 1, 2012 | 782.00 Mn |
| Dec 31, 2011 | 94.00 Mn |
| Oct 2, 2011 | 19.00 Mn |
API Access
Pfizer 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=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "PFE", "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=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();