中石化炼化工程（02386）：25H1新签合同额同比+42%，订单结构持续优化

Investment Rating - The report maintains a "Buy" rating for Sinopec Engineering (02386) with a target price not specified [4]. Core Views - The company achieved a record high in new contract signing, with a total of RMB 711.58 billion, representing a year-on-year increase of 42.1% [1]. - The revenue for the first half of 2025 was RMB 31.559 billion, a 10.1% increase year-on-year, with a net profit attributable to shareholders of RMB 1.384 billion, up 4.8% [1]. - The company is actively exploring applications of artificial intelligence and robotics to enhance efficiency and reduce costs in engineering projects [4]. Summary by Sections Financial Performance - Revenue for H1 2025: RMB 31.559 billion, up 10.1% year-on-year - Gross profit: RMB 2.599 billion, up 3.6% year-on-year - Net profit attributable to shareholders: RMB 1.384 billion, up 4.8% year-on-year - Basic earnings per share: RMB 0.32 - Proposed interim dividend: RMB 0.16 per share, the highest since listing [1]. Contract Signing and Order Structure - New contracts signed reached RMB 711.58 billion, a record high, with front-end, design, and EPC contracts making up 80% of the total [1]. - The company’s uncompleted contract amount as of H1 2025 was RMB 2,122.76 billion, covering approximately 3.3 times the total revenue for 2024 [1]. International Orders - New contracts signed internationally totaled USD 4.302 billion, a significant increase of 82.7% year-on-year [2]. - Notable international contracts include the EPC contract for the Algeria Hassi refinery project valued at approximately USD 2.058 billion and the Kazakhstan Silleno petrochemical complex project valued at USD 1.902 billion [2]. Domestic Orders - New domestic contracts signed amounted to approximately RMB 401.82 billion, a year-on-year increase of 21.3% [3]. - Key domestic contracts include the EPC contract for the Maoming ethylene project valued at approximately RMB 11.631 billion [3]. Technological Advancements - The company is advancing the application of AI and robotics in engineering, aiming to improve design efficiency and construction processes [4].