Hangzhou Guangli Microelectronics Co., Ltd. (securities referred to as "Guangliwei") released the report for the first half of 2023. The report shows that
thanks to the long-term software and hardware product layout and solid technology accumulation in the field of yield improvement, the company's revenue reached a new high during the reporting period . In the first half of 2023, t
he company realized operating income of 127.3753 million yuan, a year-on-year increase of 63.91%; net profit attributable to shareholders of listed companies was approximately 22.8431 million yuan, a year-on-year increase of 3903.60%; non-net profit attributable to shareholders of listed companies was 16.2379 million yuan, a year-on-year Realized turning losses into profits; the comprehensive gross profit rate was 62.32%. This report card is quite eye-catching among the many A-share listed semiconductor companies that have been disclosed.
In the first half of 2023, global economic uncertainty remains high, and the semiconductor industry, which is closely related to the macro economy, is also entering a stage of deep adjustment. As the world's largest semiconductor market, my country is vigorously promoting the construction of local wafer manufacturing capacity in order to increase chip self-sufficiency. The vigorous expansion investment has created major development opportunities for local semiconductor test equipment and manufacturing EDA suppliers.
As the only enterprise in China that can provide full-process coverage in the field of yield improvement and wafer-level electrical test equipment, Guangliwei relies on EDA software such as test chip design, semiconductor big data analysis, wafer-level WAT electrical test equipment and finished products The solutions related to rate improvement have continuously made new breakthroughs in product development and market expansion.
While deepening the research and development of the existing yield rate scheme, Guangliwei also expanded to the mass production process monitoring (PCM) scheme, and started to develop the manufacturability (DFM) series EDA software, and the CMP simulation software filled the domestic technical gap. At the same time, accelerate the deployment of semiconductor data analysis and management system (DATAEXP series products), among which, semiconductor general analysis tool DE-G, integrated circuit yield analysis and management system DE-YMS, integrated circuit defect management system DE-DMS, defect automatic The classification system (DE-ADC) and other products have been developed and matured and have entered the stage of market expansion and business implementation
Guangliwei relies on the original yield improvement technology, deepens iterative software and hardware products, and upgrades and launches a new generation of general-purpose high-performance semiconductor parameter test equipment (T4000 series) , which can cover LOGIC, CIS, DRAM, SRAM, FLASH , BCD and other product testing requirements, support the parameter testing of the third-generation compound semiconductor (SiC/GaN), and at the same time, on the basis of the T4000 electrical testing equipment, the reliability testing analysis system (WLR) and other functions have been jointly developed to convert the equipment from WAT test extended to WLR and SPICE and other fields.
The total number of R&D personnel has increased by nearly 80% compared with the previous year. In the first half of 2023, Guangliwei's R&D personnel further maintained rapid growth. With the company's new product and new technology expansion plan and the continuous expansion of the business market, Guangliwei's R&D investment in the first half of this year reached 93.1346 million yuan, an increase of 98.72% year-on-year, and the company's R&D personnel further increased to 327, a year-on-year increase. 84.75%, and the proportion of R&D personnel with a master's degree or above is even closer to 60%.
Guangliwei released DATAEXP-YMS, DATAEXP-DMS and DATAEXP-General, etc. This product realizes the upgrade of the company's big data platform DATAEXP. For example, the DATAEXP-DMS defect data management and analysis system is based on cutting-edge machine learning technology. It has high recognition accuracy of wafer defects and rapid deployment capabilities. It has been installed in many semiconductor factories use, and achieved good practical results.