EIT released its performance for the first half of the year, with a net profit attributable to the parent company of 320 million yuan, a decrease of 2.02%

According to the Zhitong Finance APP, EIT (300815.SZ) released its semi-annual report for 2025, showing an operating income of 3.711 billion yuan, a year-on-year increase of 9.00%. The net profit attributable to shareholders of the listed company was 320 million yuan, a year-on-year decrease of 2.02%. The net profit attributable to shareholders of the listed company, excluding non-recurring gains and losses, was 306 million yuan, a year-on-year decrease of 5.52%. The basic earnings per share were 0.8032 yuan.

The announcement stated that as a core business segment, urban operations continued to maintain a dominant position and achieved a scale breakthrough. During the reporting period, it achieved an operating income of 3.186 billion yuan, a year-on-year increase of 11.17%, accounting for 85.86% of total operating income, an increase of 1.67 percentage points, further consolidating its business dominance. Although the gross profit margin faced short-term pressure, decreasing by 1.81 percentage points year-on-year to 25.91%, it still remained at a relatively high level in the industry.

In March 2025, the company established Shenzhen Yushu Intelligent Robot Co., Ltd. Yushu Intelligent will serve as a core platform, focusing on the research and development of intelligent equipment, actively promoting the transformation and upgrading of traditional sanitation equipment within the group to intelligence. In April 2025, the company completed its wholly-owned acquisition of Candela (Shenzhen) Intelligent Technology Co., Ltd., aiming to efficiently integrate Candela's leading sanitation robot technology with the company's existing resources, strengthening the intelligent equipment matrix. In June 2025, the company made a forward-looking layout in the field of artificial intelligence by establishing a humanoid robot data collection center. This center is not only dedicated to promoting the continuous optimization and data accumulation of AI algorithms for intelligent cleaning, transportation, management, and other full-scenario applications but will also lead the exploration and practice of embodied robots in diverse service scenarios such as home cleaning and road surface maintenance, deeply accumulating relevant field data to lay a solid data and algorithm foundation for future embodied robots serving the traditional sanitation market