Led by its Surgical and Molecular Diagnostic divisions, women's imaging firm Hologic reported higher revenue in the company's first quarter of fiscal 2020.
For the quarter (end-December 28, 2019), revenue increased 2.4% to $850.5 million, compared with $830.7 million in the same quarter of fiscal 2019. Excluding acquisitions and divestitures, first-quarter revenue increased by 4.1%; the revenue gain was 4.6% on a constant currency basis.
Net income, meanwhile, more than tripled to $385.8 million in the first quarter, compared with net income of $98.6 million in the same quarter of 2019. The company registered a benefit for income taxes of $288.4 million in the period.
The company's Breast Health business saw revenues grow 2% to $331.1 million for the quarter, compared with $324.7 million in the first quarter of 2019. Revenue in its Diagnostics segment advanced approximately 5% to $311.5 million, compared with $296.6 million in the first quarter of 2019.
Hologic also completed the sale of its Cynosure medical aesthetics business to an affiliate of investment funds firm managed by Clayton, Dubilier & Rice during the first fiscal quarter.
![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)
