Hologic Q4 revenue beats expectations on higher core U.S. molecular diagnostics sales

Reuters
2025/11/04
Hologic Q4 revenue beats expectations on higher core U.S. molecular diagnostics sales

Overview

  • Women's health company Hologic's fiscal Q4 rev grows 6.2% yr/yr, beating analyst expectations

  • Non-GAAP EPS for fiscal Q4 beats consensus, increasing 11.9%

  • Company to be acquired by Blackstone and TPG for up to $79 per share

Outlook

  • Company is not providing guidance due to acquisition by Blackstone and TPG

Result Drivers

  • DIAGNOSTICS GROWTH - Higher core U.S. molecular diagnostics sales drove diagnostics revenue growth, offset by lower COVID-19 assay sales and reduced sales in China

  • BREAST HEALTH - Growth driven by strong interventional product sales and improved U.S. sales execution

  • SURGICAL REVENUE - Increased sales of MyoSure and Fluent, and contributions from Gynesonics acquisition boosted surgical revenue

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$1.04 bln

$1.03 bln (13 Analysts)

Q4 Adjusted EPS

Beat

$1.13

$1.10 (14 Analysts)

Q4 EPS

$0.83

Q4 Adjusted Net Income

Beat

$254.70 mln

$246.10 mln (12 Analysts)

Q4 Adjusted EBITDA

Beat

$347 mln

$346.05 mln (11 Analysts)

Q4 Adjusted Gross Margin

60.90%

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 4 "strong buy" or "buy", 15 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the advanced medical equipment & technology peer group is "buy."

  • Wall Street's median 12-month price target for Hologic Inc is $75.50, about 2.1% above its October 31 closing price of $73.91

  • The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 15 three months ago

Press Release: ID:nBw81t6qGa

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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