Zoetis has signed a definitive agreement to acquire Neogen’s animal genomics business for $160 million. The company expects to close the transaction in the second half of 2026, pending regulatory approvals.
The move strengthens Zoetis’ position in livestock genetics and data-driven herd management. It also expands the company’s growing focus on Precision Animal Health.
Neogen’s genomics division operates laboratories in the United States, Brazil, Australia, China and the United Kingdom, with additional presence in Canada. The business provides genotyping and sequencing services widely used in beef and dairy breeding programs. Producers rely on these tools to guide selection decisions tied to production, fertility, health and efficiency traits.
As a result, Zoetis will add genomic testing and data solutions to its existing portfolio of vaccines, pharmaceuticals and diagnostics. Company leaders say the integration will enhance predictive insights and support more individualized animal care strategies.
Genomics’ Expanding Role in Beef and Dairy
Over the past decade, genomic testing has become standard in most dairy breeding programs. Meanwhile, adoption continues to grow in beef production systems. Producers increasingly use genetic data to accelerate improvement in feed efficiency, carcass quality, longevity and disease resilience.
At the same time, livestock operations face pressure to improve sustainability and profitability. Because of that, many producers now look for tools that connect genetics, health and performance data in one system.
Neogen’s genomics business serves customers in more than 120 countries. Through this acquisition, Zoetis gains an established global testing network and customer base. The company has stated it plans to support employees and customers throughout the integration process.
Overall, the transaction reflects a broader trend across animal health and ag-tech. Companies continue to link genetics, diagnostics and therapeutic solutions more closely as livestock production becomes increasingly data-driven.
