Hologic has continued to post significant increases in revenue, with revenues doubling in the company's second quarter. The growth was driven primarily by demand for the company's SARS-CoV-2 assays, but revenues in Hologic's Breast Health business also increased.
For the second quarter (end-March 27), Hologic recorded overall revenues of approximately $1.538 billion, up 103.4% compared with $756.1 million in the same quarter last year. The company posted net income under generally accepted accounting principles (GAAP) of $619.4 million, compared with $94.8 million in the same period last year.
The overall growth was driven primarily by increases in the company's worldwide molecular diagnostics revenue. Sales in the company's Diagnostics business climbed to $1.065 billion, up 233.4% over last year. The company reported the increase is driven by demand for its SARS-CoV-2 assays and Panther and Panther Fusion systems.
Revenues on the company's Breast Health side increased for the quarter to $336.3 million, up 9.3% from $307.8 million in the second quarter of 2020.
Hologic completed three acquisitions in the second quarter. It acquired Somatex in December for about $63 million, Biotheranostic in February for approximately $232 million, and Diagenode in March for approximately $153 million.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
