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SRT3 Sartorius AG News Story

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HealthcareSpeculativeLarge CapHigh Flyer

Germany's Sartorius 2025 revenue just shy of analyst expectations

Overview

Germany life science group's preliminary 2025 revenue slightly missed analyst expectations

Underlying EBITDA margin rose by 1.7 percentage points to 29.7%

Company forecasts continued profitable growth for 2026

Outlook

Sartorius forecasts 2026 sales revenue growth of 5% to 9% in constant currencies

Company expects 2026 EBITDA margin slightly above 30%

Bioprocess Solutions Division sales growth expected between 6% and 10%; equipment business expected to remain at least stable

Result Drivers

CONSUMABLES DEMAND - Strong demand for high-margin, recurring business for consumables drove growth in Bioprocess Solutions Division

PROFITABILITY IMPROVEMENT - Profitability rose due to volume, product mix, and economies of scale, offsetting currency impacts and tariffs

INFRASTRUCTURE INVESTMENTS - Continued strategic investments in research and production infrastructure supported growth

Key Details

MetricBeat/MissActualConsensus Estimate
FY RevenueSlight Miss*EUR 3.54 blnEUR 3.55 bln (14 Analysts)
FY Net IncomeEUR 154.90 mln
FY Adjusted EBITDAEUR 1.05 bln
FY Adjusted EBITDA Margin29.70%
*Applies to a deviation of less than 1%; not applicable for per-share numbers. Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 1 "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 Sartorius AG is €261.00, about 40% above its February 2 closing price of €186.40 The stock recently traded at 31 times the next 12-month earnings vs. a P/E of 33 three months ago Press Release: ID:nEQ2jZb3Ta 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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