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3316 — Binjiang Service News Story

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China's Binjiang Service Group H1 revenue rises 13.5% on property management strength

China's Binjiang Service Group H1 revenue rises 13.5% on property management strength


Overview

  • China property management firm's revenue for six months to June 2026 rose 13.5% yr/yr

  • Net income attributable to equity shareholders increased 5.8% yr/yr for the period

  • Company declared interim dividend, payout ratio maintained at about 70%


Outlook

  • Company did not provide specific guidance or outlook for future quarters or full yr


Result Drivers

  • PROPERTY MANAGEMENT SERVICES - Revenue growth was mainly driven by a 20.9% yr/yr increase in property management services

  • VALUE-ADDED SERVICES - Value-added services to non-property owners contributed to revenue growth, up 13.7% yr/yr

  • GROSS MARGIN DECLINE - Gross profit margin fell to 20.8% from 22.5%


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

RMB 2.3 bln

H1 Net Income Attributable

RMB 315 mln


Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the real estate services peer group is "buy."

  • Wall Street's median 12-month price target for Binjiang Service Group Co Ltd is HK$32.15, about 40.3% above its August 20 closing price of HK$22.92

  • The stock recently traded at 8 times the next 12-month earnings vs. a P/E of 8 three months ago


Reuters Recommended Reads

  • Aug 20 - China Overseas Property H1 profit falls on higher labor costs

  • Aug 18 - China Merchants Land H1 revenue falls on lower floor area completion

  • Aug 20 - China's Shanghai eases housing policies to spur demand


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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