熵基科技(301330) - 301330熵基科技投资者关系管理信息20251231
ZKTECO CO.ZKTECO CO.(SZ:301330)2025-12-31 08:06

Group 1: Company Performance and Goals - The company aims for a 15% growth in annual revenue or net profit attributable to the parent company, excluding non-recurring gains and losses [2] - Historically, the company's fourth-quarter performance has consistently outperformed other quarters, with expectations for stable growth in overseas markets [2] Group 2: Joint Venture and Business Development - The joint venture focuses on developing next-generation edge brain-machine interface algorithm chips and advancing mixed biometric and brain signal analysis [2] - The company is in the process of registering the joint venture, which aims to provide competitive practical brain-machine interface solutions for diverse global consumer groups and industries [2] Group 3: Future Investment and Acquisition Strategy - The company adopts a dual strategy of organic growth and external development, with the acquisition of 55% of Longzhiyuan being its first acquisition since going public [3] - Future investments and acquisitions will target projects that enhance the company's value [3] Group 4: Consumer Market Strategy - The company is committed to the "NGTeco" brand, focusing on the consumer market by integrating smart home, robotics, outdoor sports, and health care into a unified smart ecosystem [4] - The acquisition of Longzhiyuan is expected to expand the company's smart outdoor business and create synergies between products and technology [4] Group 5: Industry Trends and Market Potential - The brain-machine interface business is expected to grow significantly over the next two to three years, driven by technological advancements, demographic trends, and supportive policies [5] - The Chinese government has recognized brain-machine interfaces as a strategic future industry, marking it as a new economic growth point [5] Group 6: Technical Development Plans - The company currently focuses on non-invasive brain-machine interface technology, with potential future research into invasive brain-machine technologies as the field evolves [6]