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460 — Sihuan Pharmaceutical Holdings News Story

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Sihuan Pharmaceutical H1 profit jumps on medical aesthetics unit strength

Sihuan Pharmaceutical H1 profit jumps on medical aesthetics unit strength


Overview

  • China pharmaceutical group's interim revenue rose 1.3% yr/yr, led by medical aesthetics growth

  • Net income attributable to shareholders jumped 119% yr/yr, driven by medical aesthetics segment

  • Company profit growth aided by narrowing losses in innovative medicine and subsidiary disposal gain


Outlook

  • Company did not provide specific financial outlook


Result Drivers

  • MEDICAL AESTHETICS GROWTH - Revenue and profit growth were mainly driven by an 18.5% increase in medical aesthetics sales, particularly from stable demand for core products and higher sales of regenerative and functional products

  • NARROWING INNOVATIVE MEDICINE LOSSES - Losses in the innovative medicine segment narrowed significantly as commercialization advanced, supporting overall profit improvement

  • SUBSIDIARY DISPOSAL GAIN - Profit was aided by a RMB154.2 mln gain from the disposal of a subsidiary, which offset losses from other segments


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

RMB 1.16 bln

H1 Net Income Attributable

RMB 224.70 mln


Analyst Coverage

  • The one available analyst rating on the shares is "strong buy"

  • The average consensus recommendation for the pharmaceuticals peer group is "buy."

  • The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 16 three months ago


Reuters Recommended Reads

  • Aug 25 - China's Innovent Biologics H1 revenue, profit rise on strong product sales

  • Aug 24 - China's InnoCare Pharma H1 revenue surges, partly on orelabrutinib growth

  • Aug 25 - China's Clover Biopharma H1 revenue drops sharply, flags going-concern doubt


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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