Articles

Ajinomoto agrees to acquire Althea Technologies for about $175 million

Acquiring company aims to strengthen its business foundation and expand in the rapidly growing advanced biomedical field, with a goal of achieving annual revenues of $312.4 million by 2020
Written byJeffrey Bouley
| 2 min read

TOKYO—Ajinomoto Co. Inc. recently announced that ithas executed a merger agreement to acquire all of the capital stock of SanDiego-based contract development and manufacturing organization (CDMO) AltheaTechnologies Inc. for approximately $175 million.

As the acquiring company puts it, "Through thisacquisition of Althea Technologies with its talented management and dedicatedemployees, Ajinomoto Co. aims to strengthen its business foundation and expandin the rapidly growing advanced biomedical field." Furthermore, Ajinomoto notesthat its goal in this acquisition is also to achieve annual revenues of some $312.4 million by 2020.

To continue reading this article, subscribe for FREE toDrug Discovery News Logo

Subscribe today to keep up to date with the latest advancements and discoveries in drug development achieved by scientists in pharma, biotech, non-profit, academic, clinical, and government labs.

Add Drug Discovery News as a preferred source on Google

Add Drug Discovery News as a preferred Google source to see more of our trusted coverage.

About the Author

Here are some related topics that may interest you:

Subscribe to Newsletter

Subscribe to our eNewsletters

Stay connected with all of the latest from Drug Discovery News.

Subscribe

Sponsored

3D illustration of a single cell surrounded by small molecular particles in a red biological environment.
Measuring mRNA and protein together at single cell resolution can uncover tumor-specific signaling activity and immune features.
Illustration of an antibody intertwined with a DNA double helix.
Discover how CRISPR and single-cell RNA sequencing can connect disease-associated variants to regulatory elements, genes, and pathways.
Digital illustration of the human digestive system highlighting the liver, stomach, and intestines.
Explore how human gut-liver models can improve the translation of preclinical findings into clinical pharmacokinetic predictions.