According to Zhitong Finance App News, Ning Meng Film & Television (09857) announced interim results for the six months ended June 30, 2026. Group revenue was RMB 541 million, up 34.8% year on year; profit attributable to shareholders was RMB 29.278 million, up 170.57% year on year; profit per share was 0.08 yuan; and interim interest of HK$0.032 per share.
In the first half of 2026, the drama industry continued to show an adjustment trend. The overall pressure on the long drama market, the number of active video platform users and user viewing time fluctuated year-on-year, and the number of industry launches contracted; the size of the short drama market continued to grow, and the trend of boutique development was further evident; at the same time, the application of AI technology in the film and television industry accelerated and iterated, changing the industry's production methods and creative ecology.
In the first half of 2026, the Group continued to adhere to the mission and vision of “connecting the new public with super content”, implementing “people as one, IP as anchor, and AI as wing” to build an IP×AI intelligent business flywheel to effectively promote synergy between various business lines; the long drama business adheres to boutique and serial development to complete the online broadcasting and launch of many high-quality copyright dramas; the short drama business anchors financial indicators and focus on improving the financial performance of the sector; the overseas business accelerates the global operation of IP, overseas local content production, and short language short dramas Diversification and depth in other fields Development; the film business has launched new projects and actively promoted joint film and drama projects; the IP derivative business accelerates the full IP chain operation layout, pre-development of multiple projects, and strategically invests in Shanghai Wulu Culture Co., Ltd. (“Wulyu Culture”); the effects of deepening overall budget management, improving quality and efficiency, and cost optimization have been further demonstrated.