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SDA — SunCar Technology News Story

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SunCar Technology H1 revenue rises 24% on Auto Services segment growth

SunCar Technology H1 revenue rises 24% on Auto Services segment growth 


Overview

  • Chinese AI auto insurance and services provider's first half revenue grew 24% yr/yr to $277 mln

  • Net income improved to $3.4 mln from a $5.5 mln net loss last year

  • Adjusted EBITDA rose 276% yr/yr to $9.4 mln, reflecting improved operating performance


Outlook

  • SunCar continues to forecast full-year 2026 revenue at approximately $600 mln


Result Drivers

  • EV INSURANCE PREMIUMS - Co said 31% yr/yr growth in EV insurance premiums contributed to revenue gains

  • AUTO SERVICES SEGMENT - Co said 22% yr/yr growth in auto services revenue was its strongest segment growth since reporting began

  • AI INTEGRATION - Co said operational efficiency improved by 45% and error rates fell 80% after integrating AI into operations


Company press release: ID:nGNX4Dkw8f


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

$276.51 mln

H1 Net Income

$3.38 mln

H1 Operating income

$6.30 mln

H1 Pretax Profit

$4.32 mln


Analyst Coverage

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

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

  • Wall Street's median 12-month price target for SunCar Technology Group Inc is $5.00, about 930.5% above its September 21 closing price of $0.49

  • The stock recently traded at 3 times the next 12-month earnings vs. a P/E of 5 three months ago


Reuters Recommended Reads

  • Sept 22 - Alibaba deepens AI push with new chip, bigger model; shares jump 5%

  • Sept 20 - China's CXMT says new memory-chip platform enters mass production

  • Sept 22 - China's Ligent closes up 4.6% in Hong Kong debut as AI demand draws investors


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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