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快手一季报 分拆可灵的“紧迫感”

伯虎团队 2026-06-04 10:41
伯虎团队 2026/06/04 10:41

邦小白快读

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本文核心披露了快手2026年一季报的业绩情况,以及快手计划分拆旗下AI业务可灵独立上市的背景、原因和转型目标,核心干货如下:

1. 快手传统三大业务直播、广告、电商全部增长乏力,直播收入同比大跌13.5%,占比持续收缩,广告增速同比放缓,电商不再披露GMV,业内判断其增速将下滑至5%-10%;同时用户基本盘动摇,DAU仅增长1.2%,用户粘性下滑,还面临抖音、B站、视频号等多竞品夹击。

2. 成立不到两年的可灵AI增长爆发,一季度收入超6.5亿元同比增长超300%,估值已超200亿美元,但AI高投入持续拖累快手利润,导致快手整体经调整净利润同比下滑26.3%。

3. 快手选择分拆可灵独立上市,试图缓解财务压力,给AI业务独立定价,抓住AI竞赛机遇,完成从短视频平台向AI视频基础设施的转型,赌AI换道改命。

从快手财报和转型动作中,可以梳理出当前短视频营销、渠道布局的相关趋势,对品牌商布局业务有参考价值,核心干货如下:

1. 流量端变化:快手整体用户增长停滞,用户粘性下滑,传统老铁经济基本面动摇,同时面临多竞品争夺用户时长和广告预算,品牌在快手布局营销需要降低增长预期,警惕流量成本上升的问题。

2. AI营销新机会:可灵AI已经实现商业化落地,一季度快手AI漫剧营销消耗同比增长超100倍,AI生成内容可以为品牌提供更低成本、更高效率的营销内容生产方案,新场景存在流量红利,值得品牌提前尝试布局。

3. 行业趋势判断:当前整体电商处于低迷阶段,平台不再高调披露GMV数据,说明行业已经从规模扩张转向效率竞争,品牌布局渠道需要更关注转化效率,同时短视频AI化是明确趋势,提前布局AI营销可以抢占先发优势。

快手的业务变化给广大直播、电商卖家带来了明确的风险提示和机会参考,核心干货整理如下:

1. 风险提示:快手传统直播、电商业务增速持续下滑,用户基本盘动摇粘性下降,同时面临抖音等头部竞品的猛烈挤压,卖家布局快手业务需要警惕流量获取难度上升、变现效率下滑的风险,不要盲目扩张投入。

2. 新机会:快手全力押注AI转型,可灵AI已经具备工业级AI视频生产能力,卖家可以借助平台AI工具降低内容创作成本,提升内容产出效率;同时AI漫剧等新营销场景增长极快,目前存在流量红利,可以提前入场抢占流量。

3. 后续方向:快手分拆可灵后会集中资源稳住传统主业,后续大概率会出台针对卖家的扶持政策,卖家可以持续关注平台政策方向,抓住AI赋能内容生产的转型机遇,调整自己的运营策略适配平台新变化。

快手的AI转型和业务调整,给生产制造、内容生产类工厂带来了明确的商业机会和转型启示,核心干货如下:

1. 新商业机会:可灵AI主打AI视频全产业链生产,目标是构建从创意输入到成品输出的完整工业生态,相关的内容代工、影视制作、品牌衍生品生产类工厂,可以对接可灵的开放生态,获取新的批量订单来源,开拓新的增长曲线。

2. 数字化转型启示:快手在传统业务增长见顶后,全力押注AI技术试图换道超车的思路,对传统工厂同样有参考价值,当原有业务增长瓶颈时,主动布局数字化、AI工具,可以有效提升生产效率,开拓新业务方向,突破增长困境。

3. 生产需求变化:AI赋能内容生产后,品牌方对短周期、小批量的定制化产品和内容需求会明显上升,工厂需要提前调整生产模式,适配小单快反的新需求,抓住AI带来的行业变化红利,优化自身的竞争力。

从快手的转型案例中,可以总结出当前短视频和AI服务行业的发展趋势、客户痛点和可参考的解决方案,核心干货如下:

1. 行业发展趋势:传统流量型互联网平台增长已经见顶,AI尤其是生产型AI成为行业新的核心增长曲线,AI视频生成已经进入工业级落地阶段,市场需求爆发式增长,可灵AI一季度收入同比增长超300%,已经验证了市场需求。

2. 行业核心痛点:传统互联网平台孵化AI新业务,普遍面临传统业务失速、AI高投入拖累整体利润的问题,同时AI大模型业务和传统流量业务的定位、用户、生态完全不同,绑定在一起会导致资本市场估值错位,限制AI业务发展。

3. 可参考的解决方案:将不同定位的新老业务分拆独立运营,是解决冲突的可行路径,既可以缓解原有主体的财务压力,也能让新业务独立融资获得合理估值;同时AI服务面向B端客户和海外市场布局,可以快速打开增长空间,这个思路对所有AI服务商都有参考价值。

快手的发展困境和转型路径,对互联网平台的战略制定、运营管理和风险规避都有较高的参考价值,核心干货如下:

1. 运营管理提醒:平台需要时刻警惕核心基本盘用户粘性下滑的风险,快手用户粘性下滑传导到广告、电商变现的案例说明,核心用户信任是平台的根基,要提前防范头部主播翻车、监管政策变化等因素透支基本盘,及时调整运营策略稳住核心用户。

2. 新业务布局参考:当新老业务定位差异大、新业务高投入拖累整体利润时,分拆独立上市是非常可行的路径,既可以让原有平台聚焦核心主业,稳定基本盘,也能让新业务独立融资发展,获得资本市场的合理估值,解决估值错位的问题。

3. 风向规避提示:流量竞争已经进入红海,AI生产服务是新的赛道,平台需要抓住AI赋能生产力的机会提前布局,但同时也要警惕AI赛道竞争激烈的风险,字节、阿里等巨头都已经布局相关业务,需要扎实推进商业化落地,避免只讲故事无法兑现估值的问题。

快手分拆可灵AI的事件,反映了当前传统互联网平台转型的新动向,为产业研究提供了典型样本,核心研究参考如下:

1. 产业新动向:传统移动互联网流量平台增长见顶,纷纷向AI生产力平台转型,头部平台都在重点布局AI视频生成赛道,行业竞争逻辑已经从抢夺用户时长转向比拼工程效率,分拆AI业务独立上市已经成为传统平台孵化AI新业务的主流模式。

2. 产业新问题:传统平台内部孵化的AI新业务,普遍面临新老业务定位冲突、AI高投入拖累原有主体利润、资本市场估值错位的问题,两类完全不同生态的业务绑定,既影响原有业务的估值,也会限制AI业务的估值空间,这个问题是当前很多转型平台都面临的共同问题。

3. 商业模式创新:可灵的商业模式是面向B端企业和专业创作者,提供全链条AI视频生产能力,打造AI时代的视频生产力基础设施,区别于传统内容平台的流量变现模式,打开了新的增长空间,这种转型模式为传统互联网平台换道超车提供了新的研究样本。

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Quick Summary

This article discloses Kuaishou's Q1 2024 financial results and details the background, rationale and transformation goals behind Kuaishou's plan to spin off its AI business, Keling, for an independent IPO. Key takeaways are as follows:

1. Kuaishou's three traditional core businesses — live streaming, advertising and e-commerce — all face stagnant growth. Live streaming revenue plummeted 13.5% year-over-year, and its share of total revenue continues to shrink. Advertising growth has slowed, and Kuaishou no longer discloses e-commerce GMV; industry analysts forecast its e-commerce growth will drop to a 5% to 10% range. Meanwhile, Kuaishou's core user base is under pressure: daily active users (DAU) grew just 1.2% year-over-year, user engagement has declined, and the company faces intense competition from rivals including Douyin, Bilibili and WeChat Channels.

2. Keling AI, launched less than two years ago, has achieved explosive growth. Its revenue exceeded 650 million yuan in Q1, growing more than 300% year-over-year, and its valuation now tops $20 billion. However, heavy investment in AI continues to weigh on Kuaishou's profitability, dragging the company's overall adjusted net profit down 26.3% year-over-year.

3. Kuaishou's decision to spin off Keling for an independent IPO aims to ease financial pressure, unlock independent valuation for the AI business, capitalize on opportunities in the global AI race, and complete its transformation from a short-video platform to an AI-powered video infrastructure provider — a high-stakes bet on AI to redefine Kuaishou's future.

An analysis of Kuaishou's financial results and transformation reveals key trends in short-video marketing and channel strategy, offering actionable insights for brands. Key takeaways are as follows:

1. Shifts in traffic landscape: Kuaishou's overall user growth has stalled, user engagement is declining, and the fundamentals of its traditional "iron fan" economy are weakening. The platform is also fighting multiple rivals for user time and advertising budgets. Brands should lower growth expectations for marketing deployments on Kuaishou and prepare for rising customer acquisition costs.

2. New opportunities in AI-powered marketing: Keling AI has achieved commercial traction, with marketing spend on Kuaishou's AI-generated web dramas surging more than 100-fold year-over-year in Q1. AI-generated content enables brands to produce marketing assets at lower cost and higher efficiency, and new AI-powered marketing scenarios offer untapped traffic dividends worth early experimentation.

3. Broader industry trends: The overall e-commerce sector is in a slowdown, and platforms' decision to stop disclosing GMV highlights that the industry has shifted from prioritizing scale expansion to competing on operational efficiency. Brands should focus more heavily on conversion efficiency when planning channel strategies. Additionally, AI integration in short video is an unambiguous industry trend, and early investment in AI marketing will help brands secure a first-mover advantage.

Kuaishou's business shifts deliver clear risk warnings and opportunity insights for live streamers and e-commerce sellers. Key takeaways are as follows:

1. Risk warnings: Growth in Kuaishou's traditional live streaming and e-commerce businesses continues to slow, its core user base is stagnating and engagement is falling, and the platform faces intense pressure from top rivals like Douyin. Sellers expanding on Kuaishou should watch for risks including harder user acquisition and lower monetization efficiency, and avoid over-investing blindly.

2. New growth opportunities: Kuaishou is betting heavily on AI transformation, and Keling AI already offers industrial-grade AI video production capabilities. Sellers can leverage the platform's AI tools to cut content creation costs and boost output efficiency. Meanwhile, fast-growing new marketing scenarios such as AI web dramas currently offer significant traffic dividends, making early entry worthwhile to capture market share.

3. Strategic outlook: After spinning off Keling, Kuaishou will refocus resources on stabilizing its core traditional business and is likely to roll out new support policies for sellers. Sellers should monitor platform policy updates closely, leverage opportunities from AI-enabled content transformation, and adjust operational strategies to align with the platform's new direction.

Kuaishou's AI transformation and business adjustment clear commercial opportunities and transformation insights for manufacturing and content production factories. Key insights are as follows:

1. New commercial opportunities: Keling AI focuses on end-to-end AI video production and aims to build a complete industrial ecosystem from creative input to final output. Factories specializing in content outsourcing, film and television production, and brand derivative manufacturing can partner with Keling's open ecosystem to access new bulk order sources and unlock new growth curves.

2. Insights for digital transformation: Kuaishou's strategy of betting heavily on AI to pivot after its core business hit growth ceilings offers a useful reference for traditional factories. When existing business hits a growth wall, proactively deploying digital and AI tools can effectively boost production efficiency, open up new business lines and break through growth constraints.

3. Shifts in production demand: AI-enabled content production will drive a clear increase in brand demand for short-cycle, small-batch customized products and content. Factories need to adjust their production models in advance to adapt to the new demand for small-batch fast turnaround, capitalize on industry opportunities brought by AI, and improve their core competitiveness.

Kuaishou's transformation case summarizes key development trends, client pain points and actionable solutions for the short-video and AI service industries. Key insights are as follows:

1. Industry development trends: Growth for traditional traffic-based internet platforms has peaked, and AI — particularly generative AI for content production — has become the new core growth curve for the industry. AI video generation has entered the stage of industrial-grade commercialization, and market demand is growing explosively. Keling AI's 300%+ year-over-year revenue growth in Q1 already validates this market demand.

2. Core industry pain points: When traditional internet platforms incubate new AI businesses, they commonly face the problem of stagnant core business and heavy AI investment dragging down overall profitability. Additionally, large language model AI businesses and traditional traffic businesses have completely different positioning, user bases and ecosystems. Keeping them bound together leads to valuation mispricing in capital markets and constrains AI business growth.

3. Actionable solutions: Spinning off new and legacy businesses with different positioning for independent operation is a viable solution to this conflict. It eases financial pressure on the parent company while allowing the new AI business to secure independent financing and a fair valuation. In addition, expanding AI services to B2B clients and overseas markets can rapidly open up growth space — a framework that is valuable for all AI service providers.

Kuaishou's growth challenges and transformation path offer valuable reference for internet platforms on strategy development, operational management and risk mitigation. Key insights are as follows:

1. Operational management reminder: Platforms must remain vigilant to the risk of falling user engagement in their core user base. Kuaishou's case, where declining engagement has dragged down advertising and e-commerce monetization, demonstrates that core user trust is the foundation of a platform. Platforms should proactively guard against risks that erode their core base, such as top streamer scandals and regulatory changes, and adjust operational strategies promptly to retain core users.

2. Reference for new business incubation: When new and legacy businesses have sharply different positioning and high investment in the new business drags on overall profit, spinning off the new business for an independent IPO is a highly viable path. It allows the parent platform to refocus on its core business and stabilize its core user base, while enabling the new business to pursue independent financing and fair valuation, resolving valuation mispricing.

3. Risk mitigation guidance: Traffic competition has become a red ocean, and AI production services represent an attractive new track. Platforms should capitalize on the opportunity of AI-powered productivity improvement by deploying early, but must also be aware of intense competition in the AI space, with giants including ByteDance and Alibaba already active in the sector. Companies must advance commercialization steadily to avoid the pitfall of over-promising and failing to deliver on valuation expectations.

Kuaishou's spin-off of Keling AI reflects new trends in the transformation of traditional internet platforms and provides a representative case study for industry research. Key research insights are as follows:

1. New industry trends: Traditional mobile internet traffic platforms have hit growth ceilings and are increasingly transforming into AI-powered productivity platforms. Top platforms are all prioritizing investment in the AI video generation track, and industry competition has shifted from争夺 user time to competing on engineering efficiency. Spinning off AI businesses for independent IPOs has become a mainstream model for traditional platforms to incubate new AI businesses.

2. New industry challenges: AI new businesses incubated within traditional platforms commonly face conflicts in positioning between new and legacy operations, profit pressure from heavy AI investment on the parent company, and capital market valuation mispricing. Binding two businesses with completely different ecosystems together hurts the valuation of the legacy business and limits the valuation upside of the AI business — a shared challenge currently facing many transforming platforms.

3. Business model innovation: Keling's business model focuses on providing end-to-end AI video production capabilities for B2B enterprises and professional creators, building video productivity infrastructure for the AI era. This differs from the traffic monetization model of traditional content platforms and opens up new growth space. This transformation model provides a new research sample for traditional internet platforms looking to pivot into new high-growth areas.

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.

来源 | 伯虎财经(bohuFN)

作者 | 楷楷

半个月前,快手计划分拆可灵独立上市的消息火遍行业,多家媒体报道,可灵估值已经超过200亿美元,差不多是三分之二个快手(约300亿美元市值)。

最让外界感到冲击的,并非快手分拆可灵这件事,而是从快手身上“长出来”的可灵,一个成立不到两年的AI业务,其估值已经几乎相当于另一个快手。

这也让快手站到了新旧路径抉择的分岔口,不过,这个问题似乎已有答案。

近日,快手公布2026年一季报,总收入337.16亿元,同比微增3.4%,收入增速创上市后新低;经调整净利润33.74亿元,同比大幅下滑26.3%,AI投入持续拖累盈利。

更棘手的是,快手的广告、直播、电商三大业务均现疲态,其中,老铁们最熟悉的直播业务收入更同比大跌13.5%,在总收入中的占比持续收缩。

快手的传统业务开始步入中年危机,真正能撑起市场想象空间的是可灵AI,但AI业务的高投入却又不断蚕食公司利润,被新老业务两头夹击,快手其实没得选。

它要“改命”,就必须赌一把——赌可灵能让自己成功“换道”。

“三驾马车”跑不动

快手2026年一季度的表现,承受着不少压力。

整体业务呈现出明显的割裂感,传统业务表现疲软,但AI新业务却呈现出爆发式增长。不过,高投入的AI业务也导致公司的净利润、毛利率出现大幅下滑,继续增收不增利。

摊开财报来看,快手的“三驾马车”是各有各的难点。

直播业务收入84.92亿元,同比大跌13.5%。过去一年,快手直播业务的增速也在不断下滑,2025年一季度还能保持14.4%的同比增速,到四季度已经开始负增长。

拉长时间来看,直播业务在快手中收入中的占比也在不断收缩,从2017年占95.3%,到2021年的38.2%,再下滑至2026年一季度的25.2%,直播早已不再是平台的增长重心。

线上营销服务(广告)取而代之成为支柱业务,一季度收入196.43亿元,同比增长9.3%,其中,国内线上营销收入增速超10%,占总收入比例提升至58.3%。

不过,虽然广告业务收入超预期,但跟去年全年12.5%的收入增速相比,还是有明显的放缓迹象,广告主流失正成为难以忽视的隐忧。

其他服务(包含电商和可灵AI)收入55.8亿,同比增长15.9%。但需要注意的是,快手宣布从2026年第一季度起,不再单独披露季度和年度的电商GMV,理由是跟行业保持一致。

理由很体面,但道理大家都懂的,在电商低迷的背景下,如果哪家平台能一枝独秀,它又怎么舍得不公布GMV呢?

况且,一季度可灵AI产生的收入超6.5亿元,同比增长超过300%,在这一背景下,其他服务收入较2025年四季度的62.95亿元仍出现下滑,电商业务的真实情况只会更承压。

实际上,电商业务的收入增速已从2021年的78%,逐渐下滑至2025年的15%。市场分析认为,2026年的快手电商的GMV增速将可能降至5%-10%区间。

传统业务失速背后,是老铁这一基本盘的动摇。

2026年一季度,快手应用平均日活跃用户(DAU)达4.127亿,同比增长约1.2%;平均月活跃用户(MAU)达7.717亿,同比净增约6000万。

用户盘子还在扩大,但光有增量还不够,关键还是要看这些新增的用户能否留存,并成为活跃用户。

然而,快手一季度的DAU仅增长1.2%,环比去年四季度的4.1亿用户,几乎是停滞了下来。DAU/MAU的比率从去年四季度的55.0%下滑至53.5%,用户打开APP的意愿正在下滑。

“老铁经济”的核心,是一种基于情感和信任连接起来的熟人社区文化,然而,头部主播频繁翻车不断透支这份信任,再加上直播监管政策持续收紧,直播打赏的天花板逐渐见顶。

对快手来说,直播、电商、广告业务是高度绑定的共生业务,老铁支撑起流量基本盘,一旦流量开始出现松动,电商和广告这两块依靠流量变现的业务自然也会慢下来。

更何况,快手还同时承受着抖音、B站、视频号等对手的猛烈夹击,一起争抢用户时长与广告主预算。

抖音电商2025年GMV已突破4万亿元,增速仍20%以上;B站2026年一季度广告收入同比大增30%,DAU达到1.152亿,同比增长8%;视频号2025年用户时长同比增长超20%。

快手的老铁故事,正变得越来越难讲。

AI背后的“冰与火”

在传统业务的衬托下,AI成了快手财报中的最大亮色。

2026年一季度,可灵AI产生的收入超过6.5亿元,同比增长超过300%。另外,截至2026年3月,ARR接近5亿美元,而在今年1月,这个数字还是3亿美元。

可灵终于赚钱了,也成了快手在“老铁经济”退潮期,能够撑起想象空间的新故事。但问题是,可灵的增长速度越快,快手的利润压力就越大。

2026年一季度,快手期内利润29.05亿元,同比下滑27%;经调整净利润33.74亿元,同比下降26.3%;毛利率由去年同期的54.6%收缩至51.2%。

利润到底去哪里了?快手在财报中也说得明明白白。

首先是成本端,一季度销售成本同比增加11.1%,远超3.4%的收入增速,其中,带宽与服务器成本、资产折旧大幅上升,这是可灵在全球市场猛冲背后的成本账。

另外,AI投入也没有停。一季度研发费用为36亿元,同比增长9.8%;预计2026年的资本开支将达到260亿元,较2025年增加110亿元。

尽管这跟阿里、字节动辄千亿的资本开支还有较大差距,但快手2025年全年经调整净利润只有206亿元,赚到的钱还没捂热,就全部投给AI,可灵也成了名副其实的“吞金兽”。

快手为何要着急将可灵分拆上市,也就不难理解了。

一方面,缓解财务压力。

快手传统业务持续承压,但AI又是快手必须要讲的新故事,可以预见,AI业务越强,其对公司整体利润的侵蚀只会更厉害。

因此,将可灵分拆成为自负盈亏、能独立融资的新公司,既能给二级市场一个交代,也能让快手将有限资源集中于传统业务,更有利于彼此的发展。

其次,快手和可灵本就是两套不同的叙事,没必要硬放在一个篮子里。

快手讲的是移动互联网的故事,面对的是下沉市场内容消费者,追求的是流量效应;可灵却是一家AI模型公司,其70%的收入来自海外市场,主要服务B端企业客户和P端专业创作者,两者的产品定位、用户画像完全不同,根本就不是同一套生态。

因此,可灵必须独立,资本市场才能抛开快手的影响,独立给可灵定价。这时候,市场看的就不仅仅是可灵如何赋能快手的故事,而是其作为大模型企业的想象空间。

最后,快手不想在AI竞赛中落后。

无论是为了留住AI人才,还是赶在AI企业上市潮中获得一个更好的定价,在Minimax、智谱早已打了个样的背景下,可灵上市,也是宜快不宜慢。

不过,将可灵独立出去之后,快手的新故事又该如何讲?

快手要一个“新身份”

最重要的变量是,可灵作为一家独立的大模型企业,其200亿美元的估值能否落地。

乐观的情况下,可灵的ARR能够持续增长,并跑通盈利模型,获得一批高粘性、高付费意愿的用户。

这时候,可灵就能成为快手转型的最大底气。

在移动互联网时代,互联网世界交付的边际成本很低,平台可以通过规模效应快速吸纳流量,形成赢家通吃的生态壁垒,快手也因此一直活在抖音的阴影里。

但在AI时代,服务每一个DAU都有相当高的成本,竞争的核心逻辑也从“如何抢夺用户时长”转向“谁能以最高的工程效率完成任务”,这也成为了快手换道超车的机会。

对于快手来说,分拆可灵独立上市,其就不仅仅是赋能快手生态的内部工具,而是能够在全球市场的工作流中,跑通AI视频全产业链的内容创作平台。

这也是内容创作者更看重的能力,谁能将整个视频生产链条完全打通,构建起一个从创意输入到输出的工业生态,才是AI时代真正值钱的“生产力”。

目前,快手正在朝着方向狂奔。前段时间,可灵亮相戛纳电影节,并密集释放了三部院线级合作,通过原生4K直出、AI与真人实拍高效协同等能力,展示了可灵的工业级交付能力。

可灵的竞争对手,Seedance走的也是相似路径,其依托于字节旗下的影视制作工具即梦、剪映、小云雀AI,以及红果、番茄小说等内容平台,形成了一套完整的内容生态闭环。

只是,快手的野心更大一些,其不仅有庞大的视频内容生态,可以承接AI视频的产出与落地,还希望将可灵打造成一个可被广泛使用的“生产力引擎”,出售AI时代最稀缺的生产力,这也是快手从“短视频内容平台”向“AI视频基础设施”转型的关键一步。

当然,挑战也是存在的,最大的担心是,可灵无法在激烈的AI视频生成赛道中突围,毕竟,字节有Seedance,阿里HappyHorse,再加上一众垂类厂商,市场从不缺竞争者。

这样的话,可灵的商业化更多还是依赖于快手生态,虽然AI确实能带来业务增长,比如一季度快手AI漫剧营销消耗同比增长超100倍,但这样便很难撑起更高的估值。

因此,在可灵真正能够独立成长之前,快手能否稳住“三驾马车”的核心主业,将决定其是否有充足的资源去打这场漫长的攻坚战。

但无论如何,可灵之于快手而言,都是一个不可多得的“改命”机会。

再回看快手的这份一季报,其想传递的或许并不只是业绩,而是很明确地告诉市场:快手决定换上一个“新身份”,去博一个更大想象空间的未来。

市场是否买账,将决定快手能拿到多大的转型空间。

注:文/伯虎团队,文章来源:伯虎财经(公众号ID:bohuFN),本文为作者独立观点,不代表亿邦动力立场。

文章来源:伯虎财经

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