开普云信息科技股份有限公司 独立董事制度 开普云信息科技股份有限公司 独立董事制度 第一章 总则 第一条 为了进一步完善开普云信息科技股份有限公司（以下简称 "公 司"）治理结构，促进公司规范运作，维护公司整体利益，保障全体股东特别是 中小股东的合法权益，根据《中华人民共和国公司法》《上市公司独立董事管理 办法》《上市公司治理准则》《上海证券交易所科创板股票上市规则》《上海证券 交易所科创板上市公司自律监管规则适用指引第 1 号——规范运作》等法律、行 政法规、规范性文件以及《开普云信息科技股份有限公司章程》（以下简称"公 司章程"）的有关规定，结合公司的实际情况，特制定本制度。 第二条 独立董事是指不在公司担任除董事外的其他职务，并与公司及其 主要股东、实际控制人不存在直接或者间接利害关系，或者其他可能影响其进行 独立客观判断关系的董事。 第三条 独立董事对公司及全体股东负有忠实与勤勉义务。 独立董事应当按照相关法律、行政法规、中国证监会规定和上海证券交易所 业务规则和公司章程的要求，在董事会中发挥参与决策、监督制衡、专业咨询作 用，维护公司整体利益，保护中小股东合法权益。 独立董事应当独立履行职责，不受公 ...

（一） 股东大会类型和届次 证券代码：688228 证券简称：开普云 公告编号：2024-038 开普云信息科技股份有限公司 关于召开 2024 年第一次临时股东大会的通知 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或 者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 重要内容提示： 一、 召开会议的基本情况 2024 年第一次临时股东大会 召开日期时间：2024 年 8 月 22 日 14 点 30 分 召开地点：北京市海淀区知春路 23 号量子银座 7 层公司会议室 （五） 网络投票的系统、起止日期和投票时间。 网络投票系统：上海证券交易所股东大会网络投票系统 网络投票起止时间：自 2024 年 8 月 22 日 至 2024 年 8 月 22 日 采用上海证券交易所网络投票系统，通过交易系统投票平台的投票时间为股 股东大会召开日期：2024年8月22日 本次股东大会采用的网络投票系统：上海证券交易所股东大会网络投票 系统 （二） 股东大会召集人：董事会 （三） 投票方式：本次股东大会所采用的表决方式是现场投票和网络投票相结 合的方式 （四） 现场会议召开的日期、时间 ...

李绍书先生在担任公司副总经理期间，恪尽职守、勤勉尽责，公司及公司董 事会对李绍书先生在任职期间为公司发展作出的贡献表示衷心感谢！ 证券代码：688228 证券简称：开普云 公告编号：2024-040 开普云信息科技股份有限公司 关于高级管理人员辞职并聘任副总经理的公告 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈 述或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 一、高级管理人员辞职情况 开普云信息科技股份有限公司（以下简称"公司"）董事会于近日收到公司 副总经理李绍书先生递交的书面辞职报告。因工作安排李绍书先生申请辞去公司 副总经理职务，辞去副总经理职务后，仍在公司任职。李绍书先生的辞职不会对 公司相关工作的开展和公司的生产经营产生影响，其辞职报告自送达董事会之日 起生效。 截止本公告披露日，李绍书先生直接持有公司股份 24,000 股，通过东莞市 政通计算机科技有限公司间接持有公司股份 421,978 股。李绍书先生承诺将继续 遵守《上海证券交易所科创板股票上市规则》《上市公司股东减持股份管理暂行 办法》《上海证券交易所上市公司自律监管指引第 15 号——股东及董事、 ...

证券代码：688228 证券简称：开普云 公告编号：2024-039 开普云信息科技股份有限公司 关于股份回购的进展公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 重要内容提示： | 回购方案首次披露日 | 2023/8/23 | | --- | --- | | 回购方案实施期限 | 用于员工持股计划或股权激励的股份回购期限为自公司董 | | | 事会审议通过回购方案之日起不超过 个月；用于维护公 12 | | | 司价值及股东权益的股份回购期限为公司董事会审议通过 | | | 调整方案之日起不超过 3 个月。 | | 预计回购金额 | 4,000 万元~8,000 万元 | | 回购用途 | □减少注册资本 | | | √用于员工持股计划或股权激励 | | | □用于转换公司可转债 | | | √为维护公司价值及股东权益 | | 累计已回购股数 | 119.07 万股 | | 累计已回购股数占总 | 1.7636% | | 股本比例 | | | 累计已回购金额 | 万元 4,709.94 | | 实际回购价格区间 | ...

重要内容提示： | 回购方案首次披露日 | 2023/8/23 | | --- | --- | | 回购方案实施期限 | 用于员工持股计划或股权激励的股份回购期限为自公司 | | | 董事会审议通过回购方案之日起不超过 个月；用于维 12 | | | 护公司价值及股东权益的股份回购期限为公司董事会审 | | | 议通过调整方案之日起不超过 3 个月。 | | 预计回购金额 | 4,000 万元~8,000 万元 | | 回购用途 | □减少注册资本 | | | √用于员工持股计划或股权激励 | | | □用于转换公司可转债 | | | √为维护公司价值及股东权益 | | 累计已回购股数 | 119.07 万股 | | 累计已回购股数占总 | 1.7636% | | 股本比例 | | | 累计已回购金额 | 万元 4,709.94 | | 实际回购价格区间 | 31.96 元/股~70.72 元/股 | 一、回购股份的基本情况 开普云信息科技股份有限公司 关于股份回购的进展公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈 述或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 证 ...

证券代码：688228 证券简称：开普云 公告编号：2024-036 开普云信息科技股份有限公司 2023 年年度权益分派实施公告 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 重要内容提示： | 股权登记日 | 除权（息）日 | 现金红利发放日 | | --- | --- | --- | | 2024/6/28 | 2024/7/1 | 2024/7/1 | 一、通过分配方案的股东大会届次和日期 本次利润分配方案经公司 2024 年 5 月 10 日的 2023 年年度股东大会审议通 过。 二、分配方案 1. 发放年度：2023 年年度 2. 分派对象： 自 2023 年年度利润分配预案相关公告披露之日起至本公告披露日，公司因实 施股份回购及 2022 年限制性股票激励计划预留授予部分第一个归属期股份归属导 致公司回购专用证券账户中的股份数由 1,873,373 股调整为 1,770,735 股。根据《中 华人民共和国公司法》《中华人民共和国证券法》《上海证券交易所上市公司自律 监管指引第 7 号——回购股份》等相关法律 ...

上海市锦天城（深圳）律师事务所 关于 开普云信息科技股份有限公司 2023 年度差异化权益分派事项 之 法律意见书 地址：深圳市福田中心区福华三路卓越世纪中心 1 号楼 21-23 层 电话：0755-82816698 传真：0755-82816898 上海市锦天城（深圳）律师事务所 法律意见书 上海市锦天城（深圳）律师事务所 关于 开普云信息科技股份有限公司 2023 年度差异化权益分派事项 之 法律意见书 致：开普云信息科技股份有限公司 上海市锦天城（深圳）律师事务所接受开普云信息科技股份有限公司（以 下简称"公司""开普云"或"上市公司"）的委托，就开普云信息科技股 份有限公司 2023 年度差异化权益分派（以下简称"本次差异化权益分派"） 的有关事项出具本法律意见书。 为出具本法律意见书，本所特作如下声明： 真实的原始书面材料、副本材料、复印材料，且一切足以影响本法律意见书 的事实和文件均已向本所律师披露，无任何隐瞒或重大遗漏，相关材料的签 字和印章均为真实，副本或复印材料均与原件一致； （五）对于本法律意见书至关重要而又无法得到独立的证据支持的事 实，本所律师依赖有关政府部门、开普云及其他相关方出具 ...

Financial Performance - Revenue in 2023 reached 693.81 million yuan, a year-on-year increase of 25.02%[1] - Net profit attributable to shareholders of the listed company in 2023 was 41.15 million yuan, a year-on-year decrease of 58.02%[1] - Basic earnings per share in 2023 were 0.62 yuan, a year-on-year decrease of 57.53%[2] - Weighted average return on equity in 2023 was 3.20%, a decrease of 4.63 percentage points compared to the previous year[2] - The company plans to distribute a cash dividend of 1.89 yuan per 10 shares, totaling 12.41 million yuan, accounting for 30.15% of the net profit attributable to shareholders[8] - Total revenue for 2023 was 693,811,200, a 25.02% year-over-year increase[40] - Net profit attributable to shareholders for 2023 was 41,153,800[40] - Revenue for Q4 reached 529,273,923.45, a significant increase compared to previous quarters[30] - Net profit attributable to shareholders in Q4 was 56,433,845.15, turning positive after three quarters of losses[30] - Operating cash flow in Q4 was 173,554,231.60, showing strong recovery from negative cash flows in earlier quarters[30] - Non-recurring gains in 2023 totaled 7,496,503.44, primarily from government subsidies and financial asset gains[32][33] R&D and Innovation - R&D investment accounted for 15.74% of revenue in 2023, an increase of 2.03 percentage points compared to the previous year[2] - R&D expenses in 2023 were 100.45 million yuan, a year-on-year increase of 37.32%[3] - R&D investment increased by 43.55%, with R&D expenses accounting for 2.03 percentage points more of revenue, reflecting expanded R&D teams and increased focus on AI and energy sectors[27] - The company's R&D investment reached 109.1863 million yuan, a year-on-year increase of 43.55%[52] - The company established the Kaiwu Future Technology Research Institute, led by CTO Dr. Yang Chunyu, to focus on multi-modal content generation, large model training and inference platforms, and real-time performance monitoring[52] - The company formed a smart computing team and established a subsidiary, Kaiwu Smart Computing, with a registered capital of 200 million yuan[52] - The company's R&D process includes four stages: planning, requirements, implementation, and release, ensuring rigorous development and deployment of technology products[106] AI and Large Models - The company is developing large language models with over 1 billion parameters[16] - The company is working on multimodal large models capable of processing text, images, audio, and video[16] - The company is developing industry-specific large language models tailored to specific domains[16] - The company is involved in AI-generated content (AIGC) and model training using large datasets[17] - The company is utilizing retrieval augmented generation (RAG) technology to enhance AI responses[17] - The company is developing AI agents capable of autonomous task execution and decision-making[17] - The company is exploring embodied intelligence for real-time environment interaction[17] - The company has accumulated PB-level multi-domain high-quality data assets and selected 4.7TB of high-quality pre-training datasets for autonomous training of its multi-modal large model[44] - The company launched the "Kaiwu Cloud-Edge-End AI All-in-One Machine" series, including "Multi-modal Training and Inference Fusion All-in-One Machine," "Inference All-in-One Machine," and "Edge All-in-One Machine"[41] - The company's multi-modal large model supports private deployment and includes self-developed AI security capabilities to ensure data content security and compliance[44] - The company's Kaiwu Multi-modal Content Production Platform supports intelligent content creation in text, images, videos, and audio, serving industries such as news media and marketing[50] - The company's Kaiwu AI Knowledge Base Q&A System supports the creation of private knowledge bases and integrates RAG retrieval and full-text search technologies for high-efficiency and high-precision answers[50] - The company's two "Kaiwu Cloud Kaiwu Text Generation Algorithms" and two "Kaiwu Cloud Kaiwu Image Generation Algorithms" passed the deep synthesis service algorithm filing[51] - The company was selected as a member of the "Beijing General Artificial Intelligence Industry Innovation Partnership Plan" and its Kaiwu multi-modal large model application case was included in the "Beijing AI Industry Empowerment Typical Cases (2023)"[51] - The company has established a full-stack AI technology product layout, achieving "AI computing power + large model + intelligent applications" through technological innovation[54] - The company signed a computing power center project cooperation agreement with China Electronics Digital Technology, with a contract value of 48.9277 million RMB, providing AI all-in-one machine products and services based on Huawei Ascend series computing power[56] - The company successfully developed and released the Kaiwu multimodal large model, which supports text, image, audio, and video multimodal capabilities, and is trained using PB-level massive data assets and TB-level high-quality pre-training datasets[56] - The company's AI large model and computing power business achieved revenue of 11.7925 million yuan in 2023, all from Customer A[83] - The company's AI large model and computing power business delivered products and services worth 48.9277 million yuan, including AI all-in-one machines and multi-modal content production platforms[82] - The company's AI large model business incurred a total operating cost of 1.753 million yuan, including 0.5573 million yuan in labor costs and 0.873 million yuan in external procurement costs[84] - The company's AI large model and computing power business formed a comprehensive AI technology product system, including multi-modal content production platforms and AI knowledge base Q&A systems[82] - The company's AI large model and computing power business targets a wide range of customers, including government agencies, intelligent computing centers, and large enterprises[82] - The company's AI multimodal large model and cloud-edge-end AI integrated machine products have driven significant commercial success, with a contract worth 48.9277 million RMB signed with China Electronics Digital Technology for AI integrated machine products and related services[158] - The company has made significant advancements in AI computing power and large model software integration, optimizing performance and reducing resource consumption for large model training and inference[182] - The large model training and inference platform supports various stages of model training, including pre-training, supervised fine-tuning, and reinforcement learning, with efficient data governance and distributed training management[183] - Large model inference enhancement technology improves the accuracy and reliability of model outputs by integrating private and real-time open-world knowledge, addressing issues like model hallucination[184] - Real-time monitoring of large model performance ensures continuous optimization by tracking metrics such as response speed, accuracy, and resource usage[185] - Rapid deployment technology for large model services enables quick migration from development to production environments across private, public, hybrid clouds, and edge computing[186] - Vertical domain intelligent semantic analysis and retrieval technology significantly improves retrieval accuracy and coverage in fields like patent review and document comparison[188] - Multimodal content generation technology leverages Transformer and Diffusion architectures to enable cross-modal content creation, such as text-to-image and image-to-video[191] - Knowledge model fusion for error-sensitive text recognition combines rule-based, statistical, and deep learning models for high-precision text analysis and correction[192] - High-performance audio-visual content analysis and understanding technology supports applications like image classification, object detection, and content security monitoring[193] Digital Energy Sector - Revenue from the digital energy sector increased by 127 million yuan, a year-on-year growth of 60.23%[2] - Digital energy business grew by 60.23%, driven by innovative products like the virtual power plant smart control platform[40] - The company's digital energy business revenue reached 338.6426 million RMB, a year-on-year increase of 60.23%, with new contract signings growing by 61%[62] - The company launched the third-generation security risk control product "Jiumozhi," which covers the entire process of large model applications, ensuring security during training, application construction, and inference services[59][60][61] - The company's virtual power plant intelligent regulation platform product has been piloted and successfully supported the construction of the Su-Wan Cooperation Zone virtual power plant demonstration project, integrating distributed photovoltaic, adjustable loads, energy storage, and charging piles[66] - The company's virtual power plant business is expected to experience rapid growth with the advancement of the domestic power spot market, driving sustained high growth in the digital energy business sector[66] - The company's digital energy business achieved a revenue of 338.6426 million yuan, a year-on-year increase of 60.23%, with new contract value growing by 61%[92] - In 2023, photovoltaic and solar power generation accounted for 15.54% of the total annual power generation, highlighting the challenges of intermittency, randomness, and volatility in the system[93] - The company launched a virtual power plant smart regulation platform, which successfully integrated distributed photovoltaic, adjustable loads, energy storage, and charging piles in the Su-Wan cooperation zone demonstration project[95] - The company provides operational services for virtual power plants, including demand-side response, power auxiliary services, and energy-carbon management, earning operational service shares[104] - Virtual power plant dispatch instruction decomposition control technology optimizes power trading strategies by integrating machine learning and operational research for maximum profit[190] - Virtual power plants are emerging as a new business model in the new power system, integrating distributed energy and demand-side resources to participate in electricity markets and provide demand response services[179][180] - The company's virtual power plant smart regulation technology platform 2.0 has been effectively applied and verified in Xuancheng City, Anhui Province, establishing a first-mover advantage in the virtual power plant field[164] AI Content Security - AI content security business expanded into new markets and customer groups, contributing to steady revenue growth[3] - AI content security business upgraded with the launch of the new "Jiumozhi" product[40] - The company's AI content security products have been deployed at the National Computer Network Emergency Response Technical Team/Coordination Center, assisting in the supervision of the large model field[61] - The company's AI content security product "Jiumozhi" has been successfully deployed at the National Computer Network Emergency Response Technical Team/Coordination Center[90] - The company's AI content security business expanded to include new projects in the cultural tourism, tobacco, and government sectors, as well as internet information regulation platforms[90] - The company's AI content security product "Jiumozhi" features a massive question bank with over 100,000 question-answer pairs across 20 major categories and 60 subcategories[88] - The company's AI content security product "Jiumozhi" provides full-process AI security risk control for large model applications, including a large model interface library and an intelligent scoring system[87] - The company's AI content security product, "Jiumozhi," has been successfully deployed at the National Computer Network Emergency Response Technical Team/Coordination Center, marking a strategic market layout in AI content security[160] - The company has been selected as a member of the Artificial Intelligence Security Governance Committee of the China Cyberspace Security Association, focusing on generative AI content security evaluation and dataset governance[161] - The company's content security management platform was recognized as a top-performing product on Huawei Cloud Store, receiving the "2023 New Rising Star Product Award"[70] Digital Government and Big Data - The company's subsidiaries are focused on AI, digital government, and energy intelligence businesses[16] - The company's digital government and big data business generated revenue of 234.0684 million yuan, with AI products like the Enlightenment AI knowledge base Q&A system and digital human generation platform enhancing government services[68] - The company actively laid out the data element industry, obtaining certifications from multiple data exchanges and planning to expand services in data integration, governance, security, and trading[69] - The digital government sector generated a revenue of 234.0684 million yuan, leveraging big data analysis, data middle platforms, and AI to enhance governance and service levels[97] - The company obtained certifications from the Shanghai Data Exchange, Guizhou Data Circulation Trading Center, and Guangzhou Data Exchange, supporting public services with data elements[99] - The company's Enlightenment large model was selected as a representative vendor in the "2024 IDC Government Large Model Vendor Map"[77] - The company's self-developed "Enlightenment Text Generation Algorithm" and "Enlightenment Image Generation Algorithm" successfully passed the national cybersecurity review[77] - The company's digital government and big data business generated revenue of 234.0684 million yuan, with AI products like the Enlightenment AI knowledge base Q&A system and digital human generation platform enhancing government services[68] - The company actively laid out the data element industry, obtaining certifications from multiple data exchanges and planning to expand services in data integration, governance, security, and trading[69] - The company's Enlightenment multimodal content production platform achieved scale revenue in the tens of millions of yuan, supporting major national projects and creating AI-generated video content for the 2024 Two Sessions[67] - The company's digital government and big data business generated revenue of 234.0684 million yuan, with AI products like the Enlightenment AI knowledge base Q&A system and digital human generation platform enhancing government services[68] - The company actively laid out the data element industry, obtaining certifications from multiple data exchanges and planning to expand services in data integration, governance, security, and trading[69] - The company's Enlightenment multimodal content production platform achieved scale revenue in the tens of millions of yuan, supporting major national projects and creating AI-generated video content for the 2024 Two Sessions[67] - The company's digital government and big data business generated revenue of 234.0684 million yuan, with AI products like the Enlightenment AI knowledge base Q&A system and digital human generation platform enhancing government services[68] - The company actively laid out the data element industry, obtaining certifications from multiple data exchanges and planning to expand services in data integration, governance, security, and trading[69] - The company's Enlightenment multimodal content production platform achieved scale revenue in the tens of millions of yuan, supporting major national projects and creating AI-generated video content for the 2024 Two Sessions[67] Market and Industry Trends - The company issued 16.7834 million A-shares in its initial public offering[16] - The company signed strategic cooperation agreements with over 20 companies to explore AI applications in public services, government, energy, media, education, and cultural tourism[71] - The company established the "Virtual Power Plant Regulation Technology Research Center" with North China Electric Power University to develop new technologies and products for virtual power plants[72] - In 2023, China's software and information technology service industry achieved a total software business revenue of 12.3258 trillion yuan, a year-on-year increase of 13.4%[115] - The Chinese government has issued a series of policies to promote the development of the digital economy, including the "Digital China Construction Overall Layout Plan" and the "Opinions on Promoting the Development and Growth of the Private Economy"[117] - The National Data Bureau was established in October 2023 to coordinate the planning and construction of Digital China, the digital economy, and digital society, promoting the integration of digital technologies such as AI, big data, and cloud computing with the real economy[118] - The "Government Work Report" in March 2024 proposed to deepen the innovative development of the digital economy, promote the integration of digital technology with the real economy, and build a globally competitive digital industry cluster[119] - AIGC industry in China is projected to reach 7202 billion yuan by 2028 and exceed 11441 billion yuan by 2030[121] - Beijing aims to achieve an AI core industry scale of 3000 billion yuan by 2025, with a growth rate of over 10% annually[124] - China's intelligent computing power reached 259.9 EFLOPS in 2022 and is expected to grow to 1117.4 EFLOPS by 2027, with a CAGR of 33.9%[126] - By 2025, China plans to have a total computing power exceeding 300 EFLOPS, with intelligent computing power accounting for 35%[127] - The "East Data West Computing" project aims to establish a national integrated computing power network by 2025[127] - Shanghai supports private enterprises in participating in AI infrastructure construction, including data and computing power[124] - Shenzhen plans to integrate computing resources and build a city-level computing power scheduling platform[124] - Chengdu offers up to 100 million yuan in funding for AI algorithm breakthroughs and national-level project achievements[124] - Anhui prioritizes AI scenarios such as deep learning, brain-computer interfaces, and image recognition[124] - The Chinese government emphasizes the development of AI and AIGC, with policies supporting innovation and risk management[123][125] - Virtual power plant investment scale is expected to reach 71.8 billion yuan in 2025 and 99.8 billion yuan in 2030[134] - Virtual power plant operating market size is projected to be 93.219 billion yuan in 2025 and 128.31 billion yuan in 2030[134] - China's digital government market size reached 137.2 billion yuan in 2023 and is expected to grow to 213.4 billion yuan by 2028 with a CAGR of 9.4%[141] - Virtual power plant adjustable load resource pool investment cost is approximately 914 yuan per kilowatt[134] - Virtual power plant is expected to participate in smoothing electricity consumption of 74.575 billion kWh in 2025 and 102.648 billion kWh in 2030[134] - The "14th Five-Year Plan" for modern energy system sets a target of 3%-5% of maximum electricity load for demand-side response capability by 2025[134] - Virtual power plant adjustable load resource pool capacity is expected to reach 78.5 million kW in 2025 and 109.2 million kW in 2030[134] - Digital government construction is transitioning from platform construction to governance operation, and from technology-driven to business-led[140] - Virtual power plant construction heat is increasing with the introduction of more policies in 2023[133] - Digital government market is entering an important development window period under the guidance of the "14th Five-Year Plan" and digital government policies[141] - The "Data Twenty Articles" issued in December 2022 provide a foundational framework for the healthy development of the data element market, focusing on data property rights, circulation, profit distribution, and governance systems[145] - The establishment of the National Data Bureau in October 2023 aims to coordinate data infrastructure construction, resource integration, and digital China planning[145] - The "Data Element ×" Three-Year Action Plan (2024-2026) targets 12 key areas, including industrial manufacturing and financial services, to deepen the integration of data

开普云信息科技股份有限公司 关于股份回购的进展公告 证券代码：688228 证券简称：开普云 公告编号：2024-034 公司于 2024 年 2 月 6 日召开第三届董事会第十三次临时会议，会议审议通过 了《关于调整以集中竞价交易方式回购公司股份方案的议案》，详见公司于 2024 年 2 月 7 日在上海证券交易所（www.sse.com.cn）刊登的《关于调整以集中竞价交易 方式回购公司股份方案暨公司"提质增效重回报"行动方案的公告》（公告编号 2024- 008）、《关于以集中竞价交易方式回购股份的回购报告书（修订版）》（公告编号 2024-009）。 二、回购股份的进展情况 2024 年 5 月，公司未实施回购。截至 2024 年 5 月 31 日，公司通过集中竞价 交易方式已累计回购公司股份 1,190,731 股，占公司总股本 67,518,240 股的比例为 1.7636%，回购成交的最高价为 70.72 元/股，最低价为 31.96 元/股，交易均价为 39.56 元/股，支付的资金总额为人民币 47,099,422.80 元（不含印花税、交易佣金等 交易费用）。 三、其他事项 本公司董事会及 ...

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