Parker New Materials (605123.SH) released semi-annual results, with net profit of 199 million yuan to mother, an increase of 13.4% over the previous year

According to Zhitong Finance App News, Parker New Materials (605123.SH) released its 2026 semi-annual report. During the reporting period, the company achieved operating income of 2,237 billion yuan, an increase of 25.82%; achieved net profit attributable to shareholders of listed companies of 199 million yuan, an increase of 13.40% year on year; realized net profit attributable to shareholders of listed companies after deducting non-recurring profit and loss of 185 million yuan, an increase of 9.46% year on year; basic earnings per share were 1.6414 yuan. The company plans to distribute a cash dividend of 5 yuan (tax included) for every 10 shares to all shareholders.

During the reporting period, in the face of the complex situation of profound evolution of the geopolitical landscape and accelerated restructuring of the global industrial chain supply chain, the company's management maintained strategic strength, proactive understanding and adaptation, and firmly anchored business goals. Under the general tone of steady progress, with value creation as the core, AI deep empowerment as the engine, and lean management as the starting point, it solidly promoted key initiatives such as improving quality and efficiency, reducing costs and controlling costs, and expanding market revenue. It continued to deepen collaboration and win-win with all partners, steadily expand domestic and foreign market layout, and adhere to technological innovation as the first driving force, based on product quality, and strengthening in the face of pressure Moving forward and opening up a new situation in the midst of change, we have built a solid foundation for achieving high-quality and sustainable development of the company.

In the first half of 2026, the company further promoted the deep integration of AI technology and core business scenarios: on the operation side, AI technology was used to assist in production schedule optimization, equipment predictive maintenance and refined energy consumption management to improve the overall efficiency of production lines; on the management side, it promoted the implementation of AI-assisted financial analysis, supply chain risk warning, and customer credit dynamic assessment scenarios to improve the level of refinement and scientific management decisions; on the safety side, combined with AI to carry out safety training simulation and intelligent identification of hidden on-site hazards; on the quality side, Explore AI-driven intelligent defect detection and adaptive optimization of process parameters to improve product consistency and process quality control capabilities. Information technology construction continues to be iteratively upgraded, providing strong support for the company's digital transformation and high-quality sustainable development.