Powered by double-digit growth in U.S. breast health, international, and global molecular diagnostics business, women's imaging firm Hologic saw revenue increase by 5% in the first quarter of fiscal 2019 (end-December 29, 2018).
Revenue tallied under generally accepted accounting principles (GAAP) increased to $830.7 million in the first quarter, compared with $791.1 million in the same quarter a year ago. Non-GAAP revenue matched GAAP results in the first quarter of both fiscal years.
GAAP net income slipped to $98.6 million in the first quarter of fiscal 2019, compared with $406.7 million in the same quarter of fiscal 2018, when Hologic's results included a discrete net tax benefit of $329.2 million from U.S. tax reform. Adjusted non-GAAP earnings before interest, taxes, depreciation, and amortization (EBITDA) totaled $260.7 million in the first fiscal quarter of 2019, compared with non-GAAP earnings of $258.1 million in the same quarter a year ago.
Hologic increased its revenue projection for fiscal 2019 to growth of 3.8% to 4.7%, based on constant currency values, which would result in total revenue of $3.3 billion to $3.33 billion.
![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)
