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氪星晚报|微信成立电商产品部,探索微信内交易新模式;万兴科技将携四款AI成果亮相GITEX欧洲展;全国人大常委会2025年度立法工作计划公布
3 6 Ke· 2025-05-14 12:07
大公司: 腾讯:一季度国际市场游戏收入同比增长23%,连续三个季度创新高 36氪获悉,腾讯发布2025年第一季度财报。财报显示,一季度,得益于《PUBG MOBILE》和Supercell 游戏的表现出色,国际市场游戏收入同比增长23%至166亿元,连续三个季度刷新历史高点。近期国家 层面积极鼓励国内游戏厂商开发精品游戏"走出去",根据国务院批复的《加快推进服务业扩大开放综合 试点工作方案》,提到要发展游戏出海业务,布局从IP打造到游戏制作、发行、海外运营的产业链条。 腾讯本土市场游戏收入429亿元,较去年同期的低基数同比增长24%,得益于《王者荣耀》与《和平精 英》的收入增长,以及近期发布的《地下城与勇士:起源》与《三角洲行动》的收入贡献。 微信成立电商产品部,探索微信内交易新模式 腾讯今天发布全员信,涉及WXG事业群调整。主要内容包括:成立电商产品部,负责微信内交易模式 的探索,加速发展交易基建及交易生态,运营微信交易新模式;开放平台基础部更名为开放平台部,负 责微信公众号和小程序产品的策划、研发和运营工作。(新浪科技) 万兴科技将携四款AI成果亮相GITEX欧洲展 36氪获悉,5月21日至23日,欧洲最 ...
万兴科技(300624):收入同比增速连续两季好转 AI商业价值初现
Xin Lang Cai Jing· 2025-05-06 02:52
事件: 2025 年4 月28 日,公司公告2024 年年报及2025 年一季报,2024年公司营收14.4 亿元,同比-2.78%;归 母净利润-1.63 亿元,同比-289.61%;扣非后归母净利润-1.61 亿元,同比-279.80%。 2025Q1,公司营收3.8 亿元,同比+6.06%;归母净利润-0.33 亿元,同比-227.93%;扣非后归母净利 润-0.38 亿元,同比-265.49%。 投资要点: 接入DeepSeek 等模型,2025Q1 部分产品移动端收入同比翻倍2025Q1,公司品牌力持续强化,社媒曝光 量超12 亿次创单季历史新高。公司持续推进以音视频为核心的算法技术研发,完成DeepSeekR1、阿里 通义万相、Pika 等外部大模型能力接入,为存量产品AI 功能的优化和AI 创新产品的交互构建技术基 础。 2024 年视频创意付费用户数同比20%+,AI 原生应用收入同比翻倍2024 年,公司视频创意/实用工具/文 档创意/绘图创意类工具收入9.61/2.34/1.17/1.21 亿元,同比+0.06%/-8.7%/-10.13%/-5.88%;其中: 1)视频创意产品:总付费用 ...
万兴科技(300624):2024年年报和2025年年一季报点评:收入同比增速连续两季好转,AI商业价值初现
Guohai Securities· 2025-05-04 15:17
2025 年 05 月 04 日 公司研究 评级:增持(维持) | 相对沪深 300 | 表现 | | 2025/04/30 | | --- | --- | --- | --- | | 表现 | 1M | 3M | 12M | | 万兴科技 | -2.9% | -10.8% | -7.0% | | 沪深 300 | -3.7% | -1.2% | 4.6% | | 市场数据 | | | 2025/04/30 | | 当前价格(元) | | | 61.07 | | 当前价格(元) | 61.07 | | --- | --- | | 周价格区间(元) 52 | 37.92-94.80 | | 总市值(百万) | 11,807.05 | | 流通市值(百万) | 10,457.21 | | 总股本(万股) | 19,333.63 | | 流通股本(万股) | 17,123.32 | | 日均成交额(百万) | 869.09 | | 近一月换手(%) | 4.33 | 相关报告 研究所: 证券分析师: 刘熹 S0350523040001 liux10@ghzq.com.cn [Table_Title] 收入同比增速连 ...
万兴科技(300624):2024年年报及2025年一季报点评:持续研发投入,AI原生应用收入高增
Soochow Securities· 2025-04-29 09:19
Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Views - The company has increased its investment in AI, leading to a significant rise in revenue from AI-native applications, with an expected income of approximately 67 million yuan in 2024, representing over 100% year-on-year growth [8] - Despite short-term pressure on profits due to increased R&D and sales expenses, the company is expected to see revenue growth driven by product capability enhancements and successful marketing efforts [8] - The company aims to optimize its product offerings and user experience, which is anticipated to lead to continued revenue growth in the coming quarters [8] Financial Summary - Total revenue for 2023 is projected at 1,481 million yuan, with a year-on-year growth of 25.49%, while 2024 revenue is expected to decline slightly to 1,440 million yuan, a decrease of 2.78% [1] - The net profit attributable to the parent company is forecasted to be 86.21 million yuan in 2023, but is expected to turn negative in 2024 at -163.46 million yuan, reflecting a significant year-on-year decline of 289.61% [1] - The earnings per share (EPS) for 2025 is estimated at 0.31 yuan, with projections for 2026 and 2027 at 0.56 yuan and 0.84 yuan respectively [1]
万兴科技(300624):业绩短期承压 AI商业价值初显
Xin Lang Cai Jing· 2025-04-29 02:43
Group 1: Financial Performance - In 2024, the company achieved revenue of 1.44 billion yuan, a year-on-year decrease of 2.8%, with a net loss attributable to shareholders of 160 million yuan; in Q1 2025, revenue reached 380 million yuan, a year-on-year increase of 6.1%, with a net loss of 30 million yuan [1] - The gross margin in Q1 2025 was 92.3%, a year-on-year decline of 2.2 percentage points, primarily due to increased operating costs from AI server expenses [1] - The sales, management, and R&D expense ratios increased year-on-year by 15.1 percentage points, 0.7 percentage points, and decreased by 1.1 percentage points respectively, with the rise in sales expense ratio attributed to intensified market competition and increased costs for new products and channels [1] Group 2: AI Empowerment and Product Development - The company has seen functional innovations across its business products with AI integration, particularly in mobile strategies, leading to significant growth in active users [2] - In 2024, the video creative business generated revenue of 961 million yuan, with the core product Filmora releasing its V14 version featuring over ten innovative functions [2] - The practical tools business generated revenue of 234 million yuan, with the MobileTrans product seeing over 40% year-on-year revenue growth through deep integration with AI [2] Group 3: Operational Efficiency and Cost Reduction - AI tools have been introduced to enhance operational efficiency, significantly reducing R&D costs and assisting over 400 personnel in code generation, with AI-generated code accounting for 35% of total output [3] - The efficiency of material generation driven by AI has improved, with over 14 million AI materials exported throughout the year, representing a year-on-year increase of over 700% [3] Group 4: Profit Forecast and Valuation - The company is expected to continue enhancing product capabilities and marketing channels while actively engaging in AIGC, with projected revenues of 1.647 billion, 1.975 billion, and 2.421 billion yuan for 2025-2027, and net profits of 62 million, 94 million, and 132 million yuan respectively [4] - The expected EPS for the same period is 0.32, 0.49, and 0.69 yuan, maintaining a "buy" rating [4]
万兴科技(300624) - 2025年4月27日投资者关系活动记录表
2025-04-28 10:32
Financial Performance - In 2024, the company achieved a revenue of CNY 1.44 billion, with AI native application revenue approximately CNY 67 million, marking a year-on-year growth of over 100% [3][11] - In Q1 2025, the company reported a revenue of CNY 380 million, representing a year-on-year increase of 6.06% [3][10] Research and Development - In 2024, the company invested CNY 442 million in R&D, with a R&D expense ratio of 30.73%, highlighting its commitment to innovation [4] - The company developed a multimedia model "Tianmu" covering video, audio, image, and language models, and enhanced its AI capabilities across various products [4] Product Innovation - The video creative product Filmora upgraded to version 14, introducing over ten innovative features, resulting in a 68% increase in Trustpilot ratings [5] - The mobile version of Filmora saw a 90% increase in monthly active users in 2024, with a significant rise in revenue share [5][14] - AI marketing short video tool Virbo's revenue grew approximately 200% year-on-year, while the AI image product SelfyzAI's revenue increased about 400% [6] Team Development - By the end of 2024, the company employed 1,704 people, an increase of 8.26% year-on-year, with R&D personnel accounting for approximately 54% [7] - The company promotes a "big platform, medium product, small team" management strategy to foster innovation and entrepreneurship among employees [7] Ecosystem Collaboration - The company actively participates in AI hardware and software ecosystem collaborations, achieving a 34% year-on-year growth in government and enterprise revenue in 2024 [8] - The company received the "Outstanding Contribution Member Unit" award from the Xinchuang Working Committee in 2024, enhancing its brand recognition [8] Future Outlook - The company is optimistic about the development of multimodal AI applications and aims to integrate AI capabilities deeply into traditional workflows [9] - The company plans to continue expanding its user base and enhancing the perceived value of AI through real experiences [9][12] Marketing and Commercialization - The company increased marketing expenses significantly in 2024 to enhance brand awareness and product visibility, with a 9% decrease in sales expenses in Q1 2025 compared to Q4 2024 [10] - AI native application revenue is expected to continue growing, with the company focusing on enhancing user experience and commercializing AI features [11][12] External Model Integration - The company maintains an open attitude towards external large models while focusing on self-developed algorithms for vertical user scenarios [17][18] - The integration of external models is expected to accelerate the iteration and commercialization of AI functions [18]