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2013 — Weimob News Story

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China's Weimob H1 loss widens, hit by share-based compensation and tax

China's Weimob H1 loss widens, hit by share-based compensation and tax


Overview

  • China SaaS and AI marketing platform's interim revenue rose 12.1% yr/yr for first half 2026

  • Net loss attributable widened for the period, impacted by share-based compensation and amortization

  • Adjusted EBITDA declined 8.2% yr/yr, adjusted net profit fell 34.2%


Outlook

  • Company did not provide specific financial guidance for the current or future periods


Result Drivers

  • SHARE-BASED COMPENSATION – Loss widened to RMB181.6 mln from RMB47.2 mln, primarily reflecting RMB109 mln in share-based compensation and RMB41 mln of tax effects

  • AI APPLICATION GROWTH - Co attributed 89.2% yr/yr surge in AI Application revenue to product optimization and new launches

  • TARGETED MARKETING EFFICIENCY - Improved operational efficiency and reduction of low-margin businesses drove Targeted Marketing segment revenue up 20.9% yr/yr

  • INCREASED COSTS - Gross profit margin fell as rapid growth in AI Application business led to higher costs


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

RMB 869.40 mln

H1 Net Loss Attributable

RMB 157.20 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 4 "hold" and no "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for Weimob Inc is HK$2.33, about 82.7% above its August 17 closing price of HK$1.28

  • The stock recently traded at 37 times the next 12-month earnings vs. a P/E of 33 three months ago


Reuters Recommended Reads

  • Aug 18 - China's Baidu misses second-quarter revenue estimates

  • Aug 17 - At Beijing AI-themed bar, DeepSeek tokens come with the pints

  • Aug 17 - ByteDance signs AI copyright pact with Hollywood trade group


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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