Gasgoo Munich- On October 29, Lingyi iTech released its third-quarter 2026 results. Revenue reached roughly 15.52 billion yuan — an 11.15% jump from a year earlier. Net income attributable to shareholders climbed 14.00% to about 1.15 billion yuan, while the same metric excluding non-recurring items advanced 17.88% to 1.06 billion yuan. All three figures set new single-quarter records for the company.
For the first nine months of the year, cumulative revenue stood at approximately 40.67 billion yuan. Net income attributable to shareholders totaled about 1.92 billion yuan, and the comparable figure stripping out one-off items came in at roughly 1.45 billion yuan.

Image Source: Lingyi iTech
As a global leader in precision manufacturing, Lingyi iTech has spread its footprint across a range of fast-growing fields — from edge AI and robotics to automotive and the low-altitude economy.
In physical AI — specifically robotics — the company has positioned itself as a "trinity" top-tier global manufacturer of embodied intelligent hardware. The goal is to offer end-device makers a one-stop hardware service, spanning everything from individual components to fully assembled machines.
On the components front, Lingyi iTech now holds core execution-layer technologies for humanoid robots, including servo motors, reducers, drivers, and motion controllers. It already supplies humanoid-robot clients with critical hardware: head assemblies, dexterous-hand modules, limb assemblies, and solutions for high-power charging and thermal management.
Beyond that, the company has funded and built multiple robot assembly lines at bases in Beijing, Chengdu, Zhengzhou, and Dongguan, as well as overseas. It has already moved into mass delivery — shipping core humanoid-robot components, joint modules, and fully built machines.
Meanwhile, Lingyi iTech is building an embodied-intelligence data platform. The system integrates the entire pipeline — collecting, curating, and applying data from physical machines, simulations, and the internet — to deliver end-to-end empowerment of industrial data assets, from raw perception to actionable intelligence.
On the application side, the company has set up multiple real-world work environments for data capture and physical-machine training, creating a comprehensive robotics rollout that stretches from factory floors to service settings. Various industrial embodied robots are already deployed in core production steps like material handling and automated optical inspection.









