HK Stock Market Move | Yuan Guang Technology (02605) rises by over 21% again, achieving adjusted profits for four consecutive years. This year, it will promote the trial operation of Robobus in several cities.

date
10:56 27/03/2026
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GMT Eight
Yuan Guang Technology (02605) rose by over 21% again, with a cumulative increase of nearly 50% this week. As of the time of this release, it has risen by 15.64%, closing at HKD 2.07, with a trading volume of HKD 2.2954 million.
Yuan Guang Technology (02605) rose by more than 21% again, with a cumulative increase of nearly 50% this week. As of the time of publication, it rose by 15.64% to 2.07 Hong Kong dollars, with a trading volume of 2.2954 million Hong Kong dollars. On the news front, Yuan Guang Technology recently released its annual performance, with annual revenue of 206 million yuan and adjusted net profit of 40.69 million yuan, recording adjusted profits for the fourth consecutive fiscal year. In terms of operational data, the flagship product "Didi Chuxing" has expanded its coverage to 488 cities and towns, with a cumulative user base exceeding 334 million, monthly active users exceeding 30.31 million, and cooperation with transportation entities increasing to 312. All four core indicators are showing positive growth. At the performance meeting, Chairman and CEO Dr. Sun Xibo released three signals for growth direction: the first is international expansion, with the overseas real-time bus application Busio covering more than 10 international cities, preliminarily verifying the cross-market migratability of core technology; the second is autonomous driving buses, with the company positioning itself as a technology service provider empowering the transformation of Robobus operations, having reached the first strategic cooperation after the reporting period, and planning to advance pilot projects in several cities by 2026; the third is AI integration into core business, actively promoting the evolution of products from query tools to intelligent travel assistants, with a time sequence prediction model already deployed to improve arrival prediction accuracy.