广告
加载中

买下字节供应商 东莞首富赚翻了

王露 2026-05-09 09:20
王露 2026/05/09 09:20

邦小白快读

EN
全文速览

东阳光公司通过AI算力转型获得巨大成功,股价一年内暴涨340%至1200亿元市值,核心事件包括收购和数据大单。

1. 股价表现:自2025年4月起累计涨幅约340%,总市值超1200亿元,成为算力概念股新贵。

2. 关键收购:2025年以280亿元收购秦淮数据中国区业务,后者是字节跳动供应商,在运营总IT容量799MW,覆盖37个数据中心。

3. 大额订单:签署160亿至190亿元算力服务采购合同,期限60个月,预计年均贡献收入超30亿元,占去年营收20%以上。

4. 行业趋势:AI算力需求激增,带动光模块企业如中际旭创股价上涨45倍,算力产品价格上调5%-30%,显示从概念转向实际生意。

5. 投资机会:中际旭创董事长刘圣入股东阳光浮盈约50亿元,反映算力领域高回报潜力。

品牌通过转型AI算力抓住消费趋势,东阳光案例展示产品研发和市场需求结合点。

1. 品牌营销启示:从传统铝箔、医药业务转向AI算力,收购秦淮数据增强品牌竞争力,利用字节跳动供应商身份提升品牌影响力。

2. 产品研发方向:布局具身智能(合资成立光谷东智)、智算中心液冷(与中际旭创合作)、数据中心散热(收购苏州大图热控),反映多维度技术研发。

3. 消费趋势分析:AI应用爆发推动算力需求,企业如腾讯云、阿里云上调算力价格5%-30%,显示用户行为转向高效算力服务。

4. 代表企业案例:东阳光通过收购和合作扩展业务版图,年营收149.35亿元,新订单可能改变收入结构,提供可学习模式。

政策驱动和市场机会下,算力领域提供增长和合作机遇,但需关注风险。

1. 政策解读:受益于“东数西算”枢纽节点建设,秦淮数据覆盖环首都、长三角等区域,政策支持算力产业发展。

2. 增长市场:算力需求因AI应用落地激增,如大模型迭代、机器人、自动驾驶场景带动,相关概念股年内涨幅中位数63%。

3. 机会提示:可学习东阳光模式,通过收购(如280亿买秦淮数据)或签署大单(160-190亿合同)进入市场;合作方式包括合资(与中际旭创)和引入外部投资(地方国资、云锋基金等)。

4. 风险提示:算力订单有严苛约束,如指标不达标可无责解约,服务响应不及时违约金达20%;股价波动风险(如东阳光考验业绩支撑),需规避风向。

工厂在AI算力产业链中找到生产和商业机会,推进数字化转型。

1. 产品生产和设计需求:关注数据中心相关制造,如液冷技术(与中际旭创合资布局)、散热环节(收购苏州大图热控),及光芯片(增资纵慧芯光),满足高效算力需求。

2. 商业机会:算力服务合同涉及服务器采购、部署和运维(如东阳光云智算负责),推动工厂参与供应链;AI基础设施重估,如IDC、服务器方向,提供潜在合作领域。

3. 推进数字化启示:通过收购秦淮数据(运营799MW IT容量),学习从传统制造转向数字化服务;利用电商化模式(如算力租赁交付),启示工厂融合电商和AI技术。

行业趋势和新技术解决客户算力痛点,提供实用解决方案。

1. 行业发展趋势:AI算力需求爆发,大模型迭代和应用落地驱动,头部云厂商上调价格5%-30%,显示市场持续升温;公募基金重仓算力股涨幅翻倍者达15只。

2. 新技术应用:液冷技术(合资布局)、数据中心散热方案(收购热控企业),及高性能算力服务器部署,解决效率和成本问题。

3. 客户痛点:企业面临算力资源短缺(如字节跳动依赖供应商),东阳光通过收购秦淮数据提供一站式服务,包括定制化测试和上架运维。

4. 解决方案:以租赁模式交付算力(按月收费),案例中东阳光订单通过验收三重环节,可针对响应不及时设置违约金机制。

平台在算力领域需应对需求和风险,招商与运营管理是关键。

1. 商业对平台需求:企业如字节跳动需算力基础设施,秦淮数据作为运营商提供数据中心服务;平台需满足高性能算力部署、运维需求(如东阳光订单)。

2. 平台的最新做法:通过收购整合(东阳光买下秦淮数据),运营37个数据中心;推出算力租赁服务,按月计费,验收后交付资源。

3. 平台招商:引入外部投资方(如湖北都宜基金、福建产投、云锋基金),地方国资和产业资本参与,增强平台实力;合作方式包括持股平台搭建。

4. 风向规避:合同约束(如指标不达标限期整改、解约条款),服务器供货延迟风险;运营管理中设置违约金(最高20%),确保服务稳定性。

产业新动向揭示商业模式和政策启示,但伴随新问题。

1. 产业新动向:AI算力兴起为基础设施核心,光模块、PCB、数据中心公司被重估,如中际旭创营收382.4亿元、净利润107.97亿元,股价涨幅45倍。

2. 新问题:投资风险(如刘圣入股浮盈50亿但考验业绩)、合同执行风险(指标验收严格,违约可能);商业模式创新:算力租赁模式(按月付费),验证订单和客户价值(东阳光订单超年营收)。

3. 政策法规启示:“东数西算”政策推动枢纽节点建设,如秦淮数据覆盖西北地区;商业模式启示:通过并购(280亿交易)快速切入新领域,提供战略案例。

4. 代表企业分析:东阳光从铝箔、医药转型,展示家族企业权杖交接(张寓帅接棒),市值变化反映行业周期特性。

返回默认

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

Dongyang Sunshine has achieved remarkable success through its AI computing power transformation, with its stock price surging 340% within a year to reach a market cap of 120 billion yuan, driven by key acquisitions and major contracts.

1. Stock Performance: Since April 2025, the stock has risen approximately 340%, pushing its total market value above 120 billion yuan and establishing it as a rising star among computing power concept stocks.

2. Key Acquisition: In 2025, the company acquired the Chinese operations of Qinhuai Data for 28 billion yuan. Qinhuai Data is a ByteDance supplier with a total operational IT capacity of 799MW across 37 data centers.

3. Major Contract: Dongyang Sunshine signed a computing power service procurement contract valued between 16 and 19 billion yuan, spanning 60 months. This is expected to generate over 3 billion yuan in annual revenue, accounting for more than 20% of last year's total revenue.

4. Industry Trend: Surging demand for AI computing power is driving growth, exemplified by companies like Zhongji Xuchuang, whose stock has risen 45-fold. Computing product prices have increased 5%-30%, signaling a shift from concept to tangible business.

5. Investment Opportunity: Liu Sheng, Chairman of Zhongji Xuchuang, invested in Dongyang Sunshine, realizing paper gains of about 5 billion yuan, highlighting the high-return potential in the computing power sector.

Brands can capture consumer trends by pivoting to AI computing power, as demonstrated by Dongyang Sunshine's case, which illustrates the synergy between product development and market demand.

1. Brand Marketing Insight: The company transitioned from traditional aluminum foil and pharmaceutical businesses to AI computing, enhancing brand competitiveness through the acquisition of Qinhuai Data and leveraging its supplier relationship with ByteDance to boost brand influence.

2. Product R&D Direction: Dongyang Sunshine is diversifying its technological R&D through investments in embodied intelligence (via a joint venture, Guanggu Dongzhi), liquid cooling for intelligent computing centers (collaboration with Zhongji Xuchuang), and data center thermal management (acquisition of Suzhou Datu Heat Control).

3. Consumer Trend Analysis: The explosion of AI applications is fueling computing power demand, prompting cloud providers like Tencent Cloud and Alibaba Cloud to raise prices by 5%-30%, indicating a user shift towards high-efficiency computing services.

4. Representative Case Study: Through acquisitions and partnerships, Dongyang Sunshine has expanded its business footprint. With annual revenue of 14.935 billion yuan, new orders could reshape its revenue structure, offering a replicable model for other brands.

Policy drivers and market opportunities in the computing power sector present growth and collaboration potential, but risks require careful attention.

1. Policy Interpretation: Benefiting from the "East Data, West Computing" hub construction, Qinhuai Data covers key regions like the Beijing-Tianjin-Hebei area and the Yangtze River Delta, with strong policy support for computing power industry development.

2. Growth Market: AI application deployment is driving explosive demand for computing power, fueled by large model iterations, robotics, and autonomous driving. Related concept stocks have seen a median annual increase of 63%.

3. Opportunity Alert: Sellers can emulate Dongyang Sunshine's strategy by pursuing acquisitions (e.g., the 28 billion yuan Qinhuai Data purchase) or securing large contracts (e.g., the 16-19 billion yuan deal). Collaboration models include joint ventures (e.g., with Zhongji Xuchuang) and attracting external investment (e.g., from local state-owned capital and Yunfeng Fund).

4. Risk Warning: Computing power contracts carry strict obligations; failure to meet performance metrics can lead to termination without liability, and service delays may incur penalties up to 20%. Stock volatility (e.g., Dongyang Sunshine's performance sustainability test) necessitates risk mitigation.

Factories can identify production and commercial opportunities within the AI computing power supply chain, advancing digital transformation.

1. Product Manufacturing and Design Needs: Focus on data-center-related manufacturing, such as liquid cooling technology (via joint venture with Zhongji Xuchuang), thermal management (acquisition of Suzhou Datu Heat Control), and optical chips (investment in Zonghui Xinguang), to meet high-efficiency computing demands.

2. Commercial Opportunities: Computing service contracts involve server procurement, deployment, and maintenance (e.g., handled by Dongyang Sunshine Cloud Intelligence), encouraging factory participation in the supply chain. The revaluation of AI infrastructure, like IDC and servers, opens potential collaboration areas.

3. Digital Transformation Insight: Learning from Dongyang Sunshine's acquisition of Qinhuai Data (operating 799MW IT capacity), factories can shift from traditional manufacturing to digital services. E-commerce models, such as computing power leasing, demonstrate the integration of e-commerce and AI technologies.

Industry trends and new technologies address client computing power pain points, offering practical solutions.

1. Industry Development Trend: AI computing demand is exploding, driven by large model iterations and application deployment. Leading cloud providers have raised prices by 5%-30%, indicating a heating market; 15 publicly offered funds heavily invested in computing stocks have doubled in value.

2. New Technology Applications: Liquid cooling technology (via joint venture), data center thermal solutions (acquisition of heat control firms), and high-performance server deployments address efficiency and cost challenges.

3. Client Pain Points: Companies face computing resource shortages (e.g., ByteDance's reliance on suppliers). Dongyang Sunshine's acquisition of Qinhuai Data provides one-stop services, including customized testing and operational maintenance.

4. Solution: Delivering computing power via leasing models (monthly billing). Dongyang Sunshine's contract involves a three-stage acceptance process, with penalty mechanisms for response delays to ensure service reliability.

Platforms in the computing power sector must manage demand and risks, with merchant recruitment and operational management being critical.

1. Platform Business Needs: Companies like ByteDance require computing infrastructure, with operators like Qinhuai Data providing data center services. Platforms must support high-performance computing deployment and maintenance (e.g., Dongyang Sunshine's order).

2. Platform Strategies: Acquisition integration (e.g., Dongyang Sunshine's purchase of Qinhuai Data) enables operation of 37 data centers. Computing power leasing services, billed monthly, deliver resources post-acceptance.

3. Merchant Recruitment: Attract external investors (e.g., Hubei Duyi Fund, Fujian Industrial Investment, Yunfeng Fund) involving local state-owned and industrial capital to strengthen platform capabilities. Collaboration includes equity platform setups.

4. Risk Mitigation: Contractual constraints (e.g., rectification periods for unmet metrics, termination clauses) and server supply delays pose risks. Operational management imposes penalties (up to 20%) to ensure service stability.

New industry developments reveal business models and policy implications, but accompany emerging challenges.

1. Industry Dynamics: AI computing power is emerging as core infrastructure, leading to the revaluation of companies in optical modules, PCBs, and data centers. For instance, Zhongji Xuchuang reported revenue of 38.24 billion yuan and net profit of 10.797 billion yuan, with its stock rising 45-fold.

2. Emerging Issues: Investment risks (e.g., Liu Sheng's 5 billion yuan paper gains dependent on performance) and contract execution risks (strict acceptance criteria, potential breaches). Business model innovation: computing leasing (monthly payments) validates order and client value (Dongyang Sunshine's contract exceeds annual revenue).

3. Policy Implications: The "East Data, West Computing" policy promotes hub construction, e.g., Qinhuai Data's coverage in northwestern regions. Business model insight: rapid market entry via M&A (28 billion yuan deal) offers strategic case studies.

4. Enterprise Analysis: Dongyang Sunshine's transition from aluminum foil and pharmaceuticals illustrates family business succession (Zhang Yushuai taking over), with市值 changes reflecting industry cyclicality.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

又一个算力大牛股诞生。

东阳光连续两个交易日开盘一字涨停,股价一度创下历史新高,总市值超1200亿元。

拉长时间看,东阳光近一年累计涨幅约340%,成为千亿算力新贵。

这家曾经不算起眼的广东老牌企业,背后掌舵者是39岁的张寓帅,根据胡润财富榜身家440亿元位列东莞首富。转折点是2025年,他用一笔重磅并购把东阳光带向AI算力——牵头以280亿元买下秦淮数据中国区业务,后者正是字节跳动供应商。

押中东阳光的,还有一位重量级人物。早在2024年,中际旭创董事长刘圣通过持股平台入股东阳光。如今随着股价大涨,这笔投资账面浮盈约50亿元。

39岁东莞首富,买下张一鸣供应商

东阳光的故事,要从父辈说起。

1997年,浙江东阳人张中能、郭梅兰夫妇南下广东东莞创业,公司名意为“东阳之光”。从铝箔加工起家,一路切入高端铝箔领域,其化成箔全球市占率一度高达约30%。2003年,东阳光借壳上市,张中能收获第一家上市公司。

张中能的另一手棋,落在了医药。2006年前后,东阳光药凭借抗流感药“可威”(奥司他韦)迅速打开市场,被称为“流感一哥”。2015年,东阳光长江药业登陆港股,后被东阳光药吸收合并。

转折发生在2020年,张中能因病离世。生于1987年的儿子张寓帅,走到台前。

资料显示,张寓帅毕业于浙江大学,2011年加入东阳光集团,历任生物所所长、仿药所所长兼副院长、宜昌东阳光药业董事、东阳光董事长等职位。

接棒之后,摆在张寓帅面前的是一个现实问题:铝箔和医药之后,东阳光的下一条增长曲线在哪里。很快他给出的答案,是AI算力。

震撼一幕出现在2025年9月,东阳光披露,拟牵头组成买方团队,以280亿元向贝恩投资收购秦淮数据中国区业务。该笔交易成为当时亚洲规模最大的算力产业收购案,投资界曾报道详情始末280亿,张一鸣供应商卖了,彼时公司股价约20元左右。

秦淮数据是何来头?

资料显示,秦淮数据是中国乃至亚太地区领先的超大规模算力基础设施运营商,第一大客户正是字节跳动。2025年,秦淮数据实现营收63.82亿元。截至同年底,其在运营总IT容量799MW,覆盖37个数据中心,分布于环首都、长三角、粤港澳大湾区及西北地区等“东数西算”枢纽节点。

为吃下这块蛋糕,东阳光搭建持股平台并引入一批外部投资方,包括湖北都宜基金、福建产投、福建创投、云锋基金、佛山金控、平潭发展等诸多机构。从股东结构来看,地方国资、市场化基金和产业资本均有参与,秦淮数据的稀缺性由此可见一斑。

围绕算力产业链,东阳光的布局仍在继续。

2025年2月,东阳光携手智元机器人等合作方成立光谷东智,进入具身智能赛道;3月,与中际旭创设立合资公司,布局智算中心液冷;6月,增资光芯片企业纵慧芯光;12月,收购苏州大图热控,进军数据中心散热环节。至此,围绕AI算力展开的新业务版图逐渐成形。

同样在2025年,家族内部完成权杖交接。12月,母亲郭梅兰将核心控股平台全部转让给张寓帅。至此,这位年轻接班人正式成为东阳光实际控制人。

最新揭晓的《2026年胡润全球富豪榜》中,张寓帅家族以440亿元身家,位列东莞首富。

一年大涨340%,有人赚钱了,中际旭创浮现

乘上算力东风,东阳光开始大涨之路。

回过头看,东阳光这轮上涨已经持续一年。从2025年4月30日的9.69元/股算起,东阳光一年多来累计涨幅约340%。单看2025年全年,东阳光股价几乎翻倍。

而真正点燃这轮行情的,是一份算力大单。

5月5日晚间,东阳光发布公告称,控股子公司东莞东阳光云智算科技与某企业签署《算力服务采购框架合同》,预计总金额160亿元至190亿元(含税),期限为合同约定的订单验收通过后60个月。

这是东阳光切入算力赛道以来落地的首个百亿量级订单。该笔合同总金额已超过东阳光2025年全年营业收入149.35亿元。即便按5年合同期均摊,每年也能贡献超过30亿收入,相当于去年营收的两成以上。一旦顺利落地,足以改变公司现有的收入结构。

根据合同约定,东阳光云智算将全程负责高性能算力服务器的采购、部署、定制化测试及上架运维,在客户验收合格后,以租赁方式交付算力资源,客户按月支付算力服务费。

公告里也藏着一连串严苛的约束条件:算力服务必须通过交付、验货、验收三重环节才能正式计费;若指标不达标需限期整改,仍无法满足要求,客户可无责解约;服务响应不及时将触发违约金,最高可至合同总额的20%;服务器供货延迟、资金筹措不到位,均可能导致违约并承担赔偿。

而东阳光能拿下此次订单的底气,正是源于此前对秦淮数据中国区业务的收购。

少有人注意到,这场算力盛宴中,还藏着一位低调的赢家。

将时间拉回到2024年12月,东阳光控股股东原一致行动人元素基金与苏州丰禾盈晖签署协议,元素基金将所持东阳光1.51亿股股份,以8.33元/股的价格转让给丰禾盈晖,交易总价约12.55亿元。2025年4月,股份完成过户登记,丰禾盈晖成为东阳光第三大股东。

而丰禾盈晖背后的出资方,正是光模块龙头中际旭创董事长刘圣,其持股比例为49.5%。

这笔入股,如今已经浮盈数倍。按照东阳光最新股价计算,丰禾盈晖所持股份市值约64.54亿元,对比当初受让成本来看,短短一年多时间,这笔投资账面浮盈约52亿元。

当然,这仍只是账面收益。千亿市值背后,东阳光真正的考验才刚刚开始,最终还要靠业绩说话。

A股算力,正在批量造富

说起AI算力股,最典型当数光模块“三剑客”——中际旭创、新易盛、天孚通信。过去一年,“易中天”撑起了这轮行情的半边天。

就在上个月,中际旭创盘中市值突破万亿,创下历史新高。拉长时间看,这家公司自2023年以来股价累计涨幅超过45倍。背后是业绩的直接支撑:2025年,中际旭创营收382.4亿元,归母净利润107.97亿元。

新易盛、天孚通信同样涨成了大牛股。新易盛在4月盘中一度触及627元/股,刷新历史新高,总市值超过5500亿元。天孚通信也一度涨至380元/股附近,市值超过2900亿元。

类似行情并不只发生在光模块。AI芯片、PCB、服务器、液冷、IDC等方向也被反复重估。私募排排网数据显示,截至4月下旬,公募基金重仓的58只AI算力概念股年内涨幅中位数约为63%,跑赢同期A股三大股指;其中15只个股涨幅已经翻倍。

为何是算力?原因并不复杂。大模型持续迭代,AI应用加速落地,机器人、自动驾驶、智能终端等场景要真正跑起来,背后都离不开更大规模、更高效率、更低成本的算力支撑。

换句话说,应用爆发或许还需时间验证,但算力需求已经摆在眼前。

需求端升温,最直接体现在价格变化上。近期,腾讯云、阿里云、百度智能云等头部云厂商陆续上调AI算力相关产品价格,主要涨幅集中在5%至30%之间,部分产品涨幅更高。

这意味着,算力正在从“概念”变成“生意”。

AI浪潮越往深处推进,基础设施的重要性越突出。过去,光模块、PCB、数据中心等公司,更多被归为硬件或通信设备企业;如今,它们被放进AI基础设施的框架里重新定价。这正是过去一年A股算力股集体大涨的底层逻辑。

产业仍在继续演进,但有一点已经清晰:这轮AI周期里,最先被验证的是订单、客户和产能。谁能抓住这些,谁就更接近风口中心。

注:文/王露,文章来源:投资界(公众号ID:pedaily2012),本文为作者独立观点,不代表亿邦动力立场。

文章来源:投资界

广告
微信
朋友圈

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0