Bruker Q4 revenue beats estimates on biopharma market recovery

Reuters
02/12
Bruker Q4 revenue beats estimates on biopharma market recovery

Overview

  • Scientific instruments firm's Q4 2025 revenue beat analyst expectations despite flat year-over-year growth

  • Adjusted EPS for Q4 2025 missed analyst estimates

  • Company expects FY26 revenue growth and significant EPS improvement

Outlook

  • Bruker expects FY26 revenues of $3.57 to $3.60 bln, up 4% to 5% yoy

  • Company anticipates FY26 non-GAAP EPS of $2.10 to $2.15, up 15% to 17% yoy

  • Bruker sees organic revenue growth of 1% to 2% in FY26

Result Drivers

  • MARKET RECOVERY - Recovery in biopharma and industrial research markets, along with improved semiconductor orders, supported Q4-25 results

  • COST-SAVING INITIATIVES - Bruker plans to extend cost-saving measures beyond previous targets to enhance operating margins

  • CURRENCY AND TARIFF HEADWINDS - Academic funding, tariffs, and currency fluctuations posed challenges during 2025

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$977.20 mln

$960.83 mln (13 Analysts)

Q4 Adjusted EPS

Miss

$0.59

$0.65 (14 Analysts)

Q4 Net Income

$29.20 mln

Q4 Gross Profit

$449.20 mln

Q4 Operating Expenses

$372.90 mln

Q4 Operating Income

$76.30 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 10 "strong buy" or "buy", 5 "hold" and 1 "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 Bruker Corp is $55.00, about 29.6% above its February 11 closing price of $42.43

  • The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 18 three months ago

Press Release: ID:nBw7D8lTta

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