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China short video platform Kuaishou Q2 profit hit by higher costs, revenue inches up

China short video platform Kuaishou Q2 profit hit by higher costs, revenue inches up


Overview

  • China short video platform's Q2 revenue rose 1.4% yr/yr to RMB 35.5 bln

  • Q2 net income attributable fell 36% yr/yr

  • Adjusted net profit dropped 30% yr/yr amid macroeconomic and industry competition


Outlook

  • Kuaishou Technology did not provide specific guidance for the current quarter or full year


Result Drivers

  • USER GROWTH - Average daily active users on Kuaishou App increased to 412.3 mln in Q2

  • MARKETING SERVICES - Online marketing services revenue per DAU rose to RMB 50.1 in Q2, with total revenue up 4.4% yr/yr to RMB20.6 bln

  • COSTS JUMP – Cost of revenues rose 10.7% yr/yr, mainly due to higher revenue-sharing costs and related taxes; R&D expenses rose 34.7% due to increased AI investment, including training expenditures


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

RMB 35.54 bln

Q2 Net Income Attributable

RMB 3.15 bln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 31 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for Kuaishou Technology is HK$69.00, about 75.2% above its August 18 closing price of HK$39.38

  • 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 18 - China's Baidu Q2 revenue falls amid pressure on online marketing business

  • Aug 18 - China's iQIYI Q2 net loss widens on higher income tax expense

  • Aug 18 - China's Weimob H1 loss widens, hit by share-based compensation and tax


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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