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The banker allegedly shared details of a series of multibillion-dollar buyouts by companies including AbbVie, GSK and Pfizer.
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2026 is set to be a banner year for M&A in biopharma, as buyers facing major patent cliffs fight for a small pool of late-stage assets.
Metsera showed the biopharma world that M&A is back. Who could be next?
These deals radically reshaped the biopharma world, either by one vaccine rival absorbing another, a Big Pharma doubling down after another failed acquisition or, in the case of Pfizer and Novo, two heavyweights duking it out over a hot obesity biotech.
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The business separation, expected to be completed by the end of 2026, will result in two new companies, one focused on biopharma operations and the other on royalty management.
Novo Nordisk and Heartseed first partnered in 2021 to develop an investigational cell therapy for heart failure.
J&J still holds the top deal of the year by value with its $14.6 billion buy of Intra-Cellular in January, but the next four biggest acquisitions came in the past four months.
The two most historically deal-conservative Big Pharmas have the most money to play with for a major M&A transaction, according to a recent Stifel analysis.
A new analysis from SRS Acquiom puts into perspective the headline values seen when a company announces a backloaded M&A deal. Biotechs have much on the line when they agree to deals with massive potential but little upfront.
As major pharmas pull away from the U.K. and the U.S. risks ceding its lead through a national brain drain, the U.K. must create a new, more robust model for innovation.
Talks between pharma and successive U.K. governments have failed to deliver the market access terms that the industry wants, contributing to a pullback in investment.
After parting with 50% of its employees earlier this year, Sutro Biopharma will lay another third of its staff in a restructuring effort geared toward reaching key inflection points.
Already approved in Japan, China and other Asian countries, Crystalys’ dotinurad works to lower serum uric acid levels.
Companies are moving from using AI for distinct operations to applying the technology for control and optimization of the whole production process.