Logotype for NetEase Cloud Music Inc

NetEase Cloud Music (9899) Q2 2026 earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for NetEase Cloud Music Inc

Q2 2026 earnings summary

24 Sep, 2026

Executive summary

  • Revenue grew 3.4% year-over-year to RMB3,958.7 million for the six months ended 30 June 2026, driven by online music services and membership subscriptions.

  • Gross profit increased 5.9% to RMB1,474.4 million, with gross margin expanding to 37.2% from 36.4% year-over-year.

  • Net profit declined 57.0% to RMB809.2 million, mainly due to the absence of a large deferred tax credit recognized in the prior year; adjusted net profit dropped 55.8% to RMB859.7 million.

  • Operating profit decreased 11.6% to RMB746.2 million, impacted by higher promotion and advertising expenses.

  • The platform enhanced user engagement, expanded content offerings, and improved product features, supporting steady growth in daily active users and membership retention.

Financial highlights

  • Revenue: RMB3,958.7 million (+3.4% YoY); gross profit: RMB1,474.4 million (+5.9% YoY).

  • Online music services revenue rose 3.4% to RMB3,067.4 million, with membership subscription revenue up from RMB2,469.8 million to RMB2,600.9 million.

  • Social entertainment and other revenue increased 3.7% to RMB891.3 million.

  • Selling and marketing expenses surged 80.7% to RMB295.2 million, while general and administrative expenses fell 10.3% to RMB83.4 million.

  • Research and development expenses rose 3.2% to RMB391.0 million, reflecting continued investment in AI.

Outlook and guidance

  • Focus remains on enhancing music experience, expanding high-quality content, and deepening user engagement.

  • Strategic priorities include diversifying content, optimizing recommendations, strengthening community, and improving profitability through cost control.

  • Plans include further content diversification, strengthening independent artist support, and improving profitability through cost optimization.

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