Yi Yang
Analyst · Yang Liu of Morgan Stanley
Hello, everyone. This is Alex. I will now provide a brief overview of our second quarter results. Please note that unless otherwise stated, all figures are in U.S. dollars and all comparisons are on a year-over-year basis. In the second quarter of 2026, we generated total revenue of approximately USD 92.9 million, up 16% year-over-year and accelerating from the 8.3% growth recorded in the first quarter. Our PaaS business maintained strong growth where revenue from the smart home and robot product segment has also increased by double digits. Of our total revenue, the PaaS business generated revenue of about USD 67.9 million, a year-over-year increase of 16.9%, serving as the important growth drivers for the quarter. At the end of the second quarter, the number of PaaS premium customers for the trailing 12 months reached 318, contributing approximately 89.5% of the PaaS revenue with our core customer base remaining stable. The AI application and others segment generated revenue of about USD 11.5 million, a year-over-year increase of 3.9%, primarily driven by growth in cloud-based storage revenue such as video cloud storage. We continued to advance the value-added services, including video and AI-driven energy saving, among others, with AI-enabled applications capabilities while gradually strengthening our new and recurring service capability. Smart home and robot products revenue was about USD 13.5 million, a year-over-year increase of 23.2%, primarily driven by growing customer demand from smart security, energy and other differentiated smart products. We will continue to increase the contribution of high value-added products and strengthen their integration with software and value-added services. Looking at the specific driver of PaaS growth. Home appliances, smart door locks, electronics and energy products and AI companion product solutions performed relatively well during the quarter. Growth in the home appliances segment was mainly driven by customers' rollout of the smart-enabled models, the expansion of their geographic reach, a higher contribution from smart-enabled products and the migration of certain overseas brand projects from customers' legacy solutions into Tuya's. Growth in smart door locks was primarily driven by increased adoption of audio-video and low-power Wi-Fi solutions. By comparison, demand recovery in categories such as traditional lighting and IP cameras has been relatively slow, reflecting continued divergency in performance across products and regions. In AI companion products, shipment volumes of the devices powered by our solutions continue to expand. During the June 18 Shopping Festival in China, Fuzozo, built on Tuya's solutions, ranked first in the AI toy categories on Tmall, while a number of other ecosystem products also delivered strong ranking and sales performance across major e-commerce platforms. This provided early validation of both consumer acceptance and the commercialization potential of the new form of AI device. Beyond basic voice interactions, we have building out capabilities in multimodal perception, persona and memory, content services and user engagement, helping customers accelerate the development and mass production of the AI-native consumer hardware. In the energy sector, solutions, including EV chargers, smart power distribution, metering and home energy management maintained solid growth. We are expanding our AI energy capabilities from electricity consumption, analytics, abnormal alerts and personalized recommendations towards dynamic electricity tariff management and user authorized automated device coordination. Within the smart home ecosystem, customers' adoption of Matter-based solutions continue to increase across categories such as electronic products, lighting and climate control. In parallel, we enhanced local control, multiprotocol interoperabilities and third-party ecosystem compatibilities. On margin side, our blended gross margin for this quarter was 46.3%. By segment, gross margin for PaaS was 46.8%, gross margin for AI application and others were 72% and gross margin for smart home and robot products was 21.9%. Gross margin fluctuations were mainly driven by the volatilities in upstream semiconductors cost and changes in business mix in line of the expectation. Despite this, gross profit increased by 11.1% year-over-year to approximately USD 43 million. On expenses, we maintained disciplined expense management while continuing to invest on AI R&D and platform capability. GAAP operating expenses for this quarter were approximately USD 33.7 million, down 10.4% year-over-year, primarily due to the lower share-based compensation expenses. In terms of profitability, we recorded GAAP profit from operations of approximately USD 9.3 million with a GAAP operating margin of 10%. Non-GAAP profit from operations was approximately USD 9.6 million, a year-over-year increase by 11.7%, while non-GAAP operating margin remained in the double digit at 10.3%. While delivering revenue growth, we maintained relatively stable core operating profitability. Net profit for the quarter was approximately $18.6 million, while non-GAAP net profit was approximately $18.9 million. The year-over-year decline in non-GAAP net profit was primarily due to the lower financial income and foreign exchange losses, while core operating profit continued to grow. On cash flow side, net cash generated from operating activities was $6.2 million during the quarter and remained positive. At the end of the second quarter, the company's total liquid assets, including cash and cash equivalents, term deposits and treasury securities amounted to approximately USD 976 million, continuing to provide ample resources to support development of AI capability, global business expansion and our ability to navigate external uncertainties and a long-term strategy investment. Next, I'll briefly walk you through our progress in the AI developer ecosystem. At the end of the second quarter of 2026, the number of registered developers on our platform exceeded 2.09 million. Launched during the second quarter, Tuya CoBuilder served as an AI developer gateway to the Tuya developer platform, applying AI coding to AI hardware development. By describing their requirements in natural language, developers can complete product definition, add user interface, embedded firmware, AI agents, and workflow development in one place, and then proceed directly to the device flashing and debugging. This covers the core development process from product concept to physical devices validation and help shorten the AI hardware development cycles. In just over a month since launch, Tuya CoBuilder's AI-powered panel generation capabilities has expanded to cover 30 product categories, with average generation time for a single panel reduced to approximately 190 seconds only. This progress demonstrates that we are advancing our developer tools beyond development assistance towards end-to-end delivery capability, spanning product definition, software generation and deployment on physical devices. At the application layer, we continue to enhance Hey Tuya's device task execution capabilities, control reliability and response efficiency while exploring subscription-based and value-added services across scenarios such as AI-driven energy saving, pet care and video understanding. Certain scenarios has already begun to generate early payment and renewals. We'll continue to focus on high-frequency use cases and long-term user value. From a broader perspective, AI capabilities are gradually expanding beyond single model integrations and in compact device sensing, contextual understanding, memory, agent orchestration and device-side execution. We'll continue to leverage the strength of our platform, device ecosystem and global developer base to translate AI capability into a scalable commercial value across a broader range of the real-world scenarios. In summary, our revenue growth accelerated in the second quarter of 2026 with the PaaS business continuing to serve as a primary growth engine. Meanwhile, our AI capabilities are being commercialized in parallel across multiple paths, including PaaS, smart products and AI applications. Despite the impact on gross margin from semiconductor supply chain price fluctuation and business mix change, we maintained stable operating profitability and ample financial resources. Looking ahead, we'll remain focused on AI-native applications, physical AI scenarios and developer platform capability and continue to advance the transformation of AI technologies from tool-level capabilities into tangible and scalable commercial value. Thank you, all. Operator, right now we can begin the Q&A.