Tencent Holdings Limited

Second-quarter 2026 revenue was RMB 204.8 billion, up 11% year over year. Gross profit was RMB 118.4 billion, up 13% year over year; operating profit was RMB 67.3 billion, up 12% year over year; non-IFRS operating profit was RMB 75.6 billion, up 9% year over year; non-IFRS net profit attributable to equity holders was RMB 68.4 billion, up 9% year over year; and diluted EPS was RMB 7.433, up 9% year over year. Overall gross margin was 58%, up 1 percentage point year over year. For the segments, VAS revenue was RMB 98 billion, up 8%; marketing services revenue was RMB 44 billion, up 22%; and FinTech and Business Services revenue was RMB 60 billion, up 9%. Guidance was qualitative rather than numeric: management said AI capex will be a lump-sum investment across this year and next, with more spending only if returns justify it, while cloud revenue should continue to benefit from AI demand, international expansion and pricing improvements.

Pony Ma framed the quarter as progress toward building a "new AI-empowered Tencent" across intelligence, applications and infrastructure. He highlighted Hunyuan 3, WorkBuddy, CodeBuddy, and compute procurement as the three pillars of that push, while also pointing to solid existing-service momentum in marketing, games and Weixin video accounts. His tone was confident that AI will expand Tencent’s ecosystem and create new monetization opportunities over time.

John Lo emphasized that the quarter’s financials were still healthy despite heavier AI spending: revenue was RMB 204.8 billion, gross profit RMB 118.4 billion, non-IFRS operating profit RMB 75.6 billion, and non-IFRS net profit RMB 68.4 billion. He said operating CapEx jumped to RMB 51.8 billion, driving free cash flow to negative RMB 13.8 billion, but free cash flow would have been RMB 37.6 billion excluding compute prepayments. He also noted a net cash position of RMB 58.2 billion, down from RMB 146.9 billion at March 31, 2026, after RMB 59.3 billion of capex payments and RMB 41.6 billion of 2025 dividend payments.

Analysts focused heavily on the payback and timing of AI capex, the economics of WorkBuddy and Xiaowei, Hunyuan 4 differentiation, and how to think about buybacks versus AI investment. Management repeatedly said the AI spend is deliberate and partly protected because Tencent could rent compute out if needed, but the strategy is to use that compute to build models and AI applications first. On WorkBuddy, they described it as a new platform for agentic productivity, not just a standalone enterprise app, and said the product was the reason investment was re-prioritized within the AI product budget. On Xiaowei, they argued that AI should make the Weixin ecosystem more useful and more monetizable over time, while acknowledging phased rollout and safety controls.