Tongcheng Travel Reports Interim Results with 14.6% Rise in Adjusted Net Profit

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Tongcheng Travel (00780) has unveiled its interim results for the six months ended June 30, 2026, showcasing a robust financial performance. The group generated revenue of RMB 9.993 billion, marking a year-on-year increase of 10.5%. Adjusted net profit reached RMB 1.792 billion, up 14.6% from the prior corresponding period, while profit attributable to equity holders of the company climbed 7.67% to RMB 1.411 billion. Basic earnings per share stood at RMB 0.60.

The company has built a substantial user base through effective user engagement initiatives and a comprehensive product portfolio. For the twelve months ended June 30, 2026, annual paying users reached 254 million, reflecting a modest year-on-year growth of approximately 0.9%. During the same period, the cumulative number of services rendered surpassed 2.0 billion, underscoring the platform's extensive reach and operational scale.

Leveraging its strong operational capabilities, Tongcheng Travel has further solidified its position in China's mass-market segment. As of June 30, 2026, over 87% of registered users hailed from non-first-tier cities, highlighting the company's deep penetration into lower-tier urban markets.

The company remains committed to harnessing artificial intelligence technologies to seize growth opportunities in the AI era while simultaneously enhancing overall operational efficiency. In this regard, Tongcheng Travel has actively forged strategic partnerships with leading third-party AI platforms. As one of the first online travel platforms to integrate with WeChat's AI assistant, the company is actively participating in the co-construction of the WeChat AI ecosystem, focusing on refining and validating its business capabilities within this ecosystem.

Simultaneously, the company continues to iterate its proprietary AI travel planning agent, DeepTrip. Over the past quarter, Tongcheng Travel has enhanced DeepTrip's memory capabilities, enabling it to generate more precise and personalized travel itineraries by incorporating users' historical preferences.

In the realm of customer service, the company has further deepened its AI-driven automation capabilities. Building on the high level of automation already achieved in routine user inquiry scenarios, the company has expanded AI applications to additional customer service contexts, such as claims tracking. This expansion has significantly improved customer service efficiency and user experience. Furthermore, AI has been deeply embedded into all human service touchpoints, equipping the company's customer service teams with AI toolkits that facilitate better understanding of user needs, thereby enhancing both response speed and accuracy.

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