Full-Year Revenue Growth
Total revenue for fiscal 2025 was reported at approximately USD 322 million (company also referenced USD 320M), representing year-over-year growth of ~7.8%.
Improved Profitability and Record Non-GAAP Net Income
Full-year non-GAAP net income reached a record USD 80.1 million, up approximately USD 4.7 million year-over-year. Non-GAAP operating margin improved to 10.5% (up 2.9 percentage points YoY) and non-GAAP net margin rose to 24.9%.
Strong Gross Margins and Operating Performance
Blended gross margin for the full year improved to 48.2% (up 0.8 percentage points YoY). Q4 blended gross margin was 47.6%. Net operating cash flow totaled USD 23.5 million in the quarter, marking the 11th consecutive quarter of positive operating cash flow.
Large Cash Position
Tuya ended 2025 with cash and cash equivalents of approximately USD 1,017 million, providing flexibility for AI development, ecosystem expansion, and capital allocation.
Recurring SaaS Growth and PaaS Stability
SaaS and others revenue grew to USD 44.8 million for the year, up 13.4% YoY, with recurring services revenue increasing 37% YoY. PaaS revenue remained a stable core, generating over USD 230 million (up 6.5% YoY) with 291 PaaS premium customers.
Smart Solutions and AI Momentum
Smart Solutions revenue reached USD 45.7 million, up 8.9% YoY. Company highlighted AI-driven demand in new product categories and maintained 20%+ margins in higher-value hardware/solution offerings.
Developer & AI Ecosystem Expansion
Registered AI+IoT developers exceeded 1.8 million, up 37% YoY. Cumulative AI agents on the platform reached ~16,000. Company hosted a global hackathon (300+ developers, ~90% overseas) and rolled out Hey Tuya, an AI-powered smart life assistant.
Operational Efficiency via Internal AI
Tuya reported internal AI productivity gains, including nearly 40% of short-term front-end code being generated by AI systems, shortening R&D cycles and helping control headcount growth.
Strategic Priorities and Clear AI Roadmap
Management articulated three priorities: strengthen AI-native platform capabilities, accelerate scalable deployment of AI application services, and deepen investment in developer ecosystem — indicating a focused long-term strategy.