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1622 — Redco Properties News Story

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China's Redco Properties interim net loss widens sharply on higher finance costs

China's Redco Properties interim net loss widens sharply on higher finance costs


Overview

  • China property developer's interim revenue rose yr/yr, net loss attributable widened sharply

  • Company faces liquidity pressure with overdue borrowings and senior notes in default

  • Redco pursuing debt restructuring plans to address financial obligations


Outlook

  • Redco Properties Group did not provide specific guidance for the current qtr or full yr


Result Drivers

  • BORROWING-COST CAPITALISATION – Loss widened as project slowdowns and suspensions reduced borrowing costs eligible for capitalisation, lifting finance costs to RMB844.7 mln from RMB311.9 mln

  • PROPERTY DELIVERY VOLUMES – H1 revenue rose 31.7% as delivered GFA increased 87.0% to 146,525 sq.m., partly offset by a 23.9% decline in recognised ASP

  • HIGHER-MARGIN PROJECT MIX – Gross profit swung to RMB25.4 mln from a RMB57.1 mln loss, aided by higher delivery revenue and projects with relatively higher margins

  • DEFERRED TAX WRITEDOWN – Income tax expense rose to RMB73.7 mln from RMB1.3 mln as the group wrote down deferred tax assets on unused losses at certain project companies


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

RMB 1.30 bln

H1 Net Loss Attributable

RMB 1.37 bln


Analyst Coverage

  • The stock recently traded at 0 times the next 12-month earnings vs. a P/E of 0 three months ago


Reuters Recommended Reads

  • Aug 26 - China's Zhenro Properties H1 revenue drops sharply, net loss widens

  • Aug 27 - China's JY Grandmark H1 revenue falls 71%, net loss widens on lower property deliveries

  • Aug 28 - China's Shimao Group H1 revenue falls 26% on lower property sales


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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