A strong surge in sales of its molecular diagnostics products helped Hologic offset declines in other areas of the company's business in its third fiscal quarter.
For the quarter (end-June 27), Hologic reported revenue of $822.9 million, compared with $852.4 million in the same quarter of 2019. The 3.5% decline was due to the loss of sales from Hologic's Cynosure division, which it sold in January.
On the positive side, Hologic reported that its Diagnostics division had third-quarter sales of $460.3 million, up 169% compared with 2019. The higher numbers reflect strong sales of the company's two SARS-CoV-2 assays that run on its Panther and Panther Fusion systems.
On the other hand, the company's Breast Health segment posted sales of $224 million, a decline of 31% compared with the same quarter in 2019.
The company's net income for the quarter was $137.9 million, an increase of 47% from the third quarter of 2019, when it posted net income of $93.9 million. Hologic attributed the increase in net income and organic revenue to strong sales of its two COVID-19 diagnostics.
![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)
