Logotype for Knowledge Atlas Technology Joint Stock Company Limited

Knowledge Atlas Technology Joint Stock Company (2513) H1 2026 earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for Knowledge Atlas Technology Joint Stock Company Limited

H1 2026 earnings summary

31 Aug, 2026

Executive summary

  • Revenue surged 399.7% year-over-year to RMB953.9 million for the six months ended June 30, 2026, driven by explosive growth in cloud-based deployment and API services, which now account for 86.5% of total revenue, up from 15.2% a year ago.

  • Gross profit increased 163.7% to RMB251.6 million, with cloud-based deployment gross margin turning positive at 24.6% from -0.4% last year, reflecting economies of scale and improved pricing.

  • Net loss narrowed by 12.1% year-over-year to RMB2,072.0 million, with adjusted net loss at RMB1,964.1 million, as higher gross profit and reduced financial instrument losses offset increased R&D spending.

  • User base on the MaaS platform exceeded 7.4 million, up 144% since the start of 2026, with paid daily active users up 603%.

Financial highlights

  • Cloud-based deployment revenue rose 2,735.7% to RMB825.2 million, now the primary revenue driver.

  • Gross profit margin for cloud-based deployment improved to 24.6%, while on-premise deployment margin fell to 37.9%.

  • R&D expenses increased 33.6% to RMB2,131.2 million, reflecting continued investment in model training and capability advancement.

  • Cash and cash equivalents rose to RMB3,993.7 million, boosted by IPO proceeds and increased bank loans.

  • Gearing ratio improved to 58.8% from -15.2% at year-end 2025, as equity turned positive post-listing.

Outlook and guidance

  • Focus will shift from enabling models to complete individual tasks to executing entire business processes autonomously, with multi-agent collaboration and longer time horizons.

  • Scaling will target not just parameter count but also effective depth, training depth, and task environments, with continued investment in self-training and infrastructure optimization.

  • The company aims to further improve the intelligence-cost frontier and expand real-world adoption, while maintaining strong safety and governance standards.

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