Radio and Television Express (002152.SZ) announced semi-annual results, with net profit of 423 million yuan to mother, a year-on-year decrease of 9.16%

According to Zhitong Finance App News, Radio and Television Express (002152.SZ) released its 2026 semi-annual report. During the reporting period, the company achieved operating income of 5.124 billion yuan, down 2.86% year on year; net profit attributable to shareholders of listed companies was 423 million yuan, down 9.16% year on year; net profit attributable to shareholders of listed companies after deducting non-recurring profit and loss was 380 million yuan, down 6.21% year on year; basic earnings per share were 0.17 yuan. The company plans to distribute a cash dividend of 1 yuan (tax included) for every 10 shares to all shareholders.

During the reporting period, around the annual development theme of “Deepening the 'AI in All' Strategy to Drive High-Quality Enterprise Development”, the company continued to build strong technical strength, dig deeper into application scenarios, deepen capital linkages, create differentiated competitive advantages, and solidly promote the steady and far-reaching development of various businesses. In the field of fintech, the company is driven by AI technology as the core, deeply participates in the digital intelligence upgrade of core operating scenarios such as bank outlets, vaults and filing centers, and has formed card position advantages in digital finance fields such as digital payments, digital finance, and data services, and has achieved market breakthroughs and large-scale implementation of many innovative businesses. In the field of urban intelligence, we rely on the driving role of global digital construction to lay out business fields such as intelligent security, digital government, and intelligent computing power to innovate smart city business models, exert the “data element ×” effect, and promote high-quality development of digital-reality integration. In the field of smart transportation, we promote the deep integration of AI with scenarios such as rail transit, highways, civil aviation, low altitude, road traffic, etc., to achieve an intelligent closed loop from terminal products to complete smart transportation solutions.