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新开普跌2.03%,成交额1.76亿元,主力资金净流出550.72万元
Xin Lang Cai Jing· 2026-01-20 05:27
Company Overview - XinKaipu Electronic Co., Ltd. is located in Zhengzhou, Henan Province, and was established on April 25, 2000. The company was listed on July 29, 2011. Its main business involves smart card system solutions and related software and hardware products [1]. Financial Performance - As of January 9, 2025, XinKaipu reported a revenue of 557 million yuan, a year-on-year decrease of 2.28%. The net profit attributable to shareholders was -4.1853 million yuan, representing a year-on-year decrease of 140.34% [2]. - The company has cumulatively distributed 308 million yuan in dividends since its A-share listing, with 107 million yuan distributed in the last three years [3]. Stock Performance - On January 20, XinKaipu's stock price decreased by 2.03%, closing at 13.49 yuan per share, with a trading volume of 176 million yuan and a turnover rate of 3.14%. The total market capitalization is 6.426 billion yuan [1]. - Year-to-date, the stock price has increased by 8.70%, but it has decreased by 6.19% over the last five trading days. Over the last 20 days, the stock has increased by 8.35%, and over the last 60 days, it has risen by 10.03% [1]. Shareholder Information - As of January 9, the number of shareholders for XinKaipu is 41,000, a decrease of 1.01% from the previous period. The average number of circulating shares per person is 9,966, an increase of 1.02% [2]. Business Segmentation - The revenue composition of XinKaipu's main business includes: 36.82% from smart campus application solutions, 32.53% from smart government and enterprise application solutions, 20.12% from operation and maintenance services, and 10.52% from smart campus cloud platform solutions [1]. Industry Classification - XinKaipu belongs to the Shenwan industry classification of Computer - Computer Equipment - Other Computer Equipment. The company is associated with concept sectors including AI corpus, Huawei Kunpeng, AI applications (intelligent agents), digital economy, and vocational education [1].
新开普:目前已为国内50余所院校、企业建设了数字人民币项目
Zheng Quan Ri Bao Wang· 2026-01-15 12:11
Core Viewpoint - The company is innovating a smart campus solution based on digital currency, aiming to implement digital RMB in educational settings and enhance its applications across various industries [1] Group 1: Company Initiatives - The company has developed a digital RMB project for over 50 educational institutions and enterprises in China [1] - It has established long-term stable partnerships with the People's Bank of China Digital Currency Research Institute, six major banks, and three major telecom operators [1] - The company plans to increase its R&D efforts to improve digital RMB applications in education, public transport, enterprises, electricity, gas, and water management sectors [1] Group 2: Future Plans - The company aims to explore new application scenarios and diversify payment methods to accelerate the implementation of digital RMB across various settings [1] - It is committed to supporting the rapid development of China's digital economy through these initiatives [1]
新开普:完美校园的丸子生活已将GEO相关应用纳入业务规划
Zheng Quan Ri Bao· 2026-01-15 11:42
Core Viewpoint - The company XinKaipu has integrated GEO-related applications into its business planning for the "Perfect Campus" initiative, focusing on precise brand information recommendations and natural presentation in AI intelligent Q&A scenarios [2] Group 1 - XinKaipu's "Perfect Campus" initiative includes the "Maruko Life" application, which aims to enhance user experience through AI technology [2] - The core direction of the initiative is to leverage AI for accurate brand information delivery [2]
新开普:公司不存在应披露而未披露事项
Zheng Quan Ri Bao Wang· 2026-01-15 09:43
Core Viewpoint - The company, Xin Kaipu (300248), has confirmed its commitment to comply with legal and regulatory requirements regarding information disclosure, stating that there are no undisclosed matters that should have been disclosed [1] Group 1 - The company responded to investor inquiries on its interactive platform, emphasizing its adherence to information disclosure obligations as mandated by laws and regulations [1] - The company indicated that any future plans related to acquisitions or buybacks will be disclosed in accordance with legal requirements [1]
新开普:公司项目交付周期普遍为6-9个月
Zheng Quan Ri Bao Wang· 2026-01-14 05:49
Core Viewpoint - The company aims to enhance project delivery efficiency and quality by optimizing project scheduling and resource allocation, ensuring a smooth transition of new orders into revenue by 2025 [1] Group 1: Project Management - The average project delivery cycle for the company is between 6 to 9 months [1] - The company plans to strengthen full-process project management to improve delivery quality and efficiency [1] Group 2: Strategic Initiatives - Initiatives include optimizing project scheduling, refining milestone management, and improving resource allocation efficiency [1] - The focus is on ensuring that new orders are effectively converted into revenue by 2025 [1]
新开普:公司已针对西安交通大学启动交付模式标准化工程
Zheng Quan Ri Bao Wang· 2026-01-14 05:49
Core Viewpoint - The company has initiated a standardized delivery model project in collaboration with Xi'an Jiaotong University, aiming to enhance its AI campus solutions through reusable components and efficient delivery processes [1] Group 1: Project Implementation - The project focuses on standardizing the delivery model, which includes developing a reusable intelligent Q&A engine, intent recognition framework, multimodal interaction components, indicator library, permission engine, and a specialized AI toolset [1] - The company aims to create a "standardized platform + industry-specific components + customized delivery" model to streamline the implementation process [1] Group 2: Cost Efficiency and Scalability - By continuously accumulating common components, the company seeks to shorten the customization delivery cycle and achieve decreasing marginal costs [1] - This approach effectively addresses the challenges posed by differences in permission settings, data architecture, and business processes among various universities, laying a solid foundation for the scalable replication of AI campus solutions [1]
新开普:公司与阿里云就新开普校园大模型项目完成战略签约
Zheng Quan Ri Bao Wang· 2026-01-14 05:49
Core Viewpoint - The company, Xin Kaipu, maintains a long-term strategic collaboration with Alibaba Cloud and Alipay, leveraging Alibaba as a strategic shareholder to enhance its technological capabilities and ecosystem [1] Group 1: Strategic Collaboration - The partnership with Alibaba includes deep collaboration in technology, computing power, and ecosystem development, with a strategic signing for the campus large model project scheduled for May 29, 2025, at the Henan Artificial Intelligence Conference [1] - Alibaba Cloud provides on-site support during critical phases, such as new student orientations, and collaborates on content safety and unique scenario development for campus Q&A [1] Group 2: Product Development and Deployment - The company focuses on digital upgrades in core campus scenarios for the ToB segment, accelerating the integration of products like campus card systems and middle platform portals, achieving localized deployment in projects at universities such as Northwest Minzu University and Xi'an Jiaotong University [1] - The delivery capability is enhanced through standardization of tools and processes, significantly reducing replication costs and enabling scalable delivery with a "thousand schools, thousand faces" approach [1] Group 3: Future Growth and Market Expansion - The company plans to deepen its strategic collaboration with Alibaba, leveraging complementary advantages in technology research and development, scenario resources, and ecological channels to accelerate ToB scale replication and ToC service implementation [1] - This strategy aims to continuously enhance market competitiveness and business growth potential [1]
新开普:2026年公司AI业务增长将由标杆客户渗透、单项目价值扩容双轮驱动
Zheng Quan Shi Bao Wang· 2026-01-14 03:40
Core Insights - The company anticipates that its AI business growth by 2026 will be driven by two main factors: penetration from benchmark clients and expansion of project value [1] Group 1: Benchmark Clients and Scale Effect - Successful cases, such as those with Xi'an Jiaotong University and other institutions, are expected to enhance quality and efficiency in education, leading to significant scale effects and rapid expansion of high-quality client groups [1] - The experience sharing among universities, driven by successful implementations, will further facilitate the growth of the client base [1] Group 2: Evolving AI Procurement Needs - The demand for AI solutions in universities has evolved from single modules (e.g., AI portals) to comprehensive systems that include university-level AI platforms, data governance, and intelligent agent clusters [1] - This shift indicates a growing trend towards larger-scale projects as the demand continues to increase [1] Group 3: Sustained Demand for AI Technology - AI technology is recognized as a core tool for universities to enhance quality and efficiency in education, leading to a persistent increase in demand [1] - The ongoing need for AI solutions provides continuous momentum for the company's AI business growth [1]
新开普:与阿里系深化战略合作,推进AI校园解决方案规模化复制
2 1 Shi Ji Jing Ji Bao Dao· 2026-01-14 01:45
Core Viewpoint - The company, XinKaipu, is leveraging its strategic partnership with Alibaba to enhance its technological capabilities and expand its service offerings in the AI sector [1] Group 1: Strategic Collaboration - The company maintains deep collaboration with Alibaba Cloud and Alipay, with Alibaba acting as a strategic shareholder providing multi-dimensional support in technology, computing power, and ecosystem development [1] - A strategic signing for a campus large model project was completed at the Henan Province Artificial Intelligence Conference, covering areas such as model tuning, computing power support, and security protection [1] Group 2: Project Deployment - For the ToB (business-to-business) segment, the company has achieved full localization deployment in projects at Northwest Minzu University and Xi'an Jiaotong University, enhancing replication efficiency through standardized tools and processes [1] - In the ToC (business-to-consumer) segment, the company is exploring AI value-added services for university students through Alipay's "Treasure Box" ecosystem, continuously expanding user value boundaries [1]
新开普(300248) - 300248新开普投资者关系管理信息20260114
2026-01-14 01:34
Group 1: Company Overview and Market Position - Xinkai Pu is a leading company in the information technology sector for higher education in China, focusing on smart campus solutions and digital transformation for educational institutions [2][3]. - The company has served over 1,400 universities, achieving a market share of over 40% in the smart campus sector [2]. - Xinkai Pu has built digital governance frameworks for more than 200 universities, leveraging low-code platforms and advanced data analytics [2]. Group 2: AI Strategy and Implementation - In 2025, the company's core development strategy will focus on AI, utilizing its self-developed "Xingpu Model" for various applications in over 30 universities, including Xi'an Jiaotong University and Hunan University of Science and Technology [3]. - The company is integrating AI into educational practices, such as AI-assisted question generation and personalized learning recommendations [3]. - Xinkai Pu has established a strategic partnership with Alibaba, enhancing its technological capabilities and market reach through collaborative projects [3][4]. Group 3: Project Management and Revenue Generation - The average project delivery cycle is 6-9 months, with efforts to optimize project scheduling and resource allocation to improve efficiency and revenue conversion from new orders [4]. - The growth drivers for 2026 include expanding the customer base through successful case studies and increasing demand for comprehensive AI solutions in higher education [4][5]. - The company is standardizing its project delivery model to facilitate scalable replication across different universities, addressing common challenges in data architecture and business processes [5].