大华股份上半年净利润24.8亿元 同比增长36.8%

Financial Performance - Company reported operating revenue of 15.18 billion with a year-on-year increase of 2.1% [1] - Net profit attributable to shareholders reached 2.48 billion, up 36.8% year-on-year [1] - Non-recurring net profit attributable to shareholders was 1.80 billion, reflecting a 1.9% increase year-on-year [1] - In Q2, operating revenue was 8.93 billion, a 2.8% year-on-year increase [1] - Q2 net profit attributable to shareholders was 1.82 billion, showing a significant 46.0% increase year-on-year [1] - Non-recurring net profit for Q2 was 1.29 billion, up 2.5% year-on-year [1] Strategic Initiatives - Company accelerated technology innovation and industry integration, focusing on multi-dimensional perception, artificial intelligence, intelligent computing, data communication, and data-visualization [1] - New products launched include the "Wenshu" and "Tianxi" large model integrated machines, "Wensou" NVR, and "Yingguang 2.0" [1] - Company aims to create highly competitive software and hardware products [1] Industry Focus - Company maintains a focus on specific industries, implementing a comprehensive replication strategy and returning to a large video strategy [1] - Emphasis on high-value and cost-effective products and solutions [1] - In new business products, the company is enhancing resource adaptation and steadily increasing the business scale of advantageous products [1] - Innovation efforts are concentrated on core channels, reinforcing the integration of innovative business with the main business [1] Data Value Proposition - Company is committed to promoting the value realization of data elements, positioning itself as a data resource provider, asset practitioner, and commodity enabler [2] - A dual-driven approach of technology and ecosystem is employed to create solutions covering the entire data lifecycle [2] - Collaboration with ecosystem partners aims to build a prosperous data element market [2] - The integration of multi-dimensional perception, multi-connection, intelligent views, and open platforms is pursued [2] - The goal is to achieve a closed loop from perceptual intelligence to data intelligence and then to business intelligence, supporting efficient urban governance and enterprise digital upgrades [2]