广告
加载中

Momenta IPO:当「物理AI」叙事来到二级市场|估值叙事15

主编24小时在线 2026-07-13 11:16
主编24小时在线 2026/07/13 11:16

邦小白快读

EN
全文速览

本文核心介绍了物理AI第一股Momenta赴港IPO的基本情况,以及公司业务和定位的变化,普通读者可以从中获得以下核心干货信息。

1. 上市基本情况:Momenta于7月8日在港交所挂牌,发行价295.6港元/股,上市首日收平,市值为696.25亿港元,未达到此前市场预期的千亿市值,二级市场没有给物理AI身份支付额外溢价。

2. 公司定位变化:Momenta原本定位自动驾驶公司,IPO前正式转型为物理AI公司,提出未来从道路自动驾驶场景拓展到家庭服务机器人等场景,计划2027年投入具身领域,预计2030年家庭机器人实现规模化商业化。

3. 业务现状:公司采用一个飞轮两条腿策略,用量产辅助驾驶养活L4研发,当前量产城市NOA搭载量已经突破百万辆,Robotaxi等新业务仍处于试点布局阶段,公司当前估值已经提前计入未来预期,后续需要收入增长消化当前估值。

本文围绕Momenta IPO的叙事转型,给科技品牌的战略规划和品牌营销提供了可参考的干货经验。

1. 品牌叙事营销参考:Momenta在IPO阶段完成从自动驾驶公司到物理AI公司的定位升级,借助新赛道概念提升资本市场关注度,但由于叙事尚未落地到实际业务,二级市场并未给予额外溢价,说明新赛道叙事需要实际业务支撑才能获得市场认可。

2. 业务战略参考:公司采用两条腿走路策略,用成熟量产业务获取稳定收入,支撑前沿L4研发,同时量产业务收集的数据反向优化算法,研发进步再反哺量产,形成正向循环,有效改善了盈利质量,2023-2025年营收从7.43亿元增长至24.13亿元,毛利率从17.5%提升至71.6%,适合前沿科技品牌平衡短期生存和长期研发。

3. 差异化定位参考:Momenta主打独立第三方智驾供应商定位,吸引了既不愿意绑定华为智驾生态也无力自研的主机厂,奔驰、丰田等多家头部车企都与其达成业务和资本绑定,差异化定位成功打开了市场空间。

本文分析了Momenta IPO和业务转型的情况,给智驾及AI相关从业者提供了增长机会、可借鉴经验和风险提示。

1. 未来增长机会:物理AI和具身智能是行业未来核心方向,Momenta创始人预计Scalable Robo市场2028年迎来发展拐点,2028到2030年市场规模有望增长10倍,2030年家庭机器人会进入规模化商业化拐点,相关从业者可以提前布局对应赛道。

2. 可借鉴的商业模式:Momenta的数据飞轮加两条腿模式,用成熟量产业务获得稳定收入和数据,反哺高阶自动驾驶研发,形成正向循环;同时将芯片业务独立孵化,既可以对外提供芯片加算法一揽子方案提升竞争力,又避免重资产研发拖累主体公司,模式设计值得参考。

3. 风险提示:Momenta当前静态P/S约为26倍,已经达到特斯拉估值狂热阶段的水平,估值提前计入大量未来预期,如果后续收入增长跟不上,估值大概率会回落,且物理AI的跨场景能力尚未验证,概念炒作存在泡沫风险。

本文介绍了Momenta的业务发展情况,给整车制造、智能硬件制造相关工厂带来了商业机会和发展启示。

1. 现有合作机会:Momenta作为独立第三方智驾解决方案提供商,不绑定任何整车生态,正好满足既不想绑定头部大厂智驾生态,也没有足够资金自研高阶智驾的整车工厂需求,目前奔驰、丰田、上汽、奇瑞等都已经和Momenta达成产品和资本合作,国内中小整车工厂可以通过合作快速落地高阶智驾功能,降低研发成本。

2. 当前产品需求启示:目前高阶智驾已经进入规模化落地阶段,Momenta的城市NOA搭载量已经突破百万辆,说明消费者对高阶智驾的需求在快速提升,整车工厂需要加快推出搭载高阶智驾的车型,跟上市场需求变化。

3. 未来合作空间:Momenta计划2027年切入具身智能领域,2030年推动家庭机器人商业化,Momenta仅做设计不直接参与制造,给下游制造工厂留下了充足的合作空间,相关制造工厂可以提前对接布局,抓住家庭机器人的增长红利。

本文梳理了AI智驾行业的发展现状和未来趋势,给AI、智驾相关技术服务商提供了多维度干货参考。

1. 行业发展趋势:当前行业正从单一自动驾驶场景向多场景物理AI拓展,物理AI以世界模型为技术基座,未来会延伸到家庭服务机器人、物流、工业等多个领域,预计2028年自动驾驶出行服务迎来商业化爆发,2030年家庭机器人进入规模化拐点,行业整体增长空间十分广阔。

2. 核心技术发展方向:世界模型是物理AI的核心技术基座,Momenta发布的R7世界模型采用世界模型预训练——仿真——强化学习自博弈三层架构,基于超过120亿公里实车里程训练,已经实现量产落地,多项核心性能指标表现优异,是行业技术研发的重要方向。

3. 客户痛点与解决方案参考:当前主机厂的核心痛点是既不想绑定头部企业的智驾生态,又无力独立完成高阶智驾研发,独立第三方服务商正好匹配这一需求,Momenta采用成熟业务反哺前沿研发,芯片业务独立孵化的模式,既解决了短期盈利问题,又分散了重资产研发风险,值得同行服务商参考。

本文围绕Momenta港交所IPO的过程和业务情况,给科技产业、资本市场相关平台带来了多方面干货参考。

1. 企业需求观察:当前前沿科技企业在IPO阶段越来越注重新赛道叙事升级,通过切换定位讲新故事获得更高的估值预期,Momenta在IPO前从自动驾驶公司转为物理AI公司就是典型案例,资本市场平台需要针对这类科技企业的需求做好相应的服务与对接。

2. 招商方向参考:独立第三方智驾解决方案企业已经走出了差异化的发展路线,这类企业绑定了大量主流主机厂,营收增长快,盈利质量提升明显,是非常优质的上市标的,平台可以重点关注物理AI、智驾领域的独立第三方企业,加大招商对接力度。

3. 风险规避提示:目前不少科技企业的新赛道叙事还没有落地到实际业务,估值就已经提前计入了大量未来预期,存在一定的估值泡沫风险,平台在审核和运营过程中,需要提示投资者相关风险,引导市场关注企业实际业务进展,避免纯概念炒作带来的市场波动。

本文记录了Momenta IPO过程中的叙事转型,为AI产业研究提供了物理AI赛道最新的产业动向和研究素材,核心干货如下。

1. 产业最新动向:自动驾驶行业正在向物理AI领域延伸,头部企业开始从单一道路自动驾驶场景向多场景具身智能拓展,物理AI已经成为产业界和资本圈共同关注的新赛道,Momenta以物理AI第一股身份上市,标志着物理AI正式进入二级市场定价阶段,开启了产业资本化的新进程。

2. 创新商业模式研究:Momenta首创的一个飞轮两条腿商业模式,将量产辅助驾驶和高阶自动驾驶业务并行发展,量产业务提供收入和数据支撑研发,研发技术进步再反哺量产,形成正向优化循环,同时将重资产的芯片业务独立孵化,既可以提供软硬一体方案提升竞争力,又分散了研发风险,这种模式对前沿AI企业发展具备借鉴意义。

3. 待研究的新问题:当前物理AI的跨场景迁移能力还没有得到商业化验证,二级市场如何对未落地的新赛道叙事进行合理定价,提前透支预期的企业后续能否通过收入增长消化估值,这些都是产业研究需要持续跟进的新问题。

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

This article outlines the basics of Momenta's Hong Kong IPO as the world's first publicly traded "Physical AI" company, and tracks the evolution of the firm's business model and positioning, with key takeaways for general readers as follows:

1. IPO fundamentals: Momenta listed on the Hong Kong Stock Exchange on July 28 at an issue price of HK$295.6 per share. It closed flat on its first trading day, reaching a market capitalization of HK$69.625 billion, falling short of the earlier market expectation of a HK$100 billion valuation. The secondary market did not assign any additional valuation premium to its "Physical AI" positioning.

2. Evolution of positioning: Originally positioned as an autonomous driving company, Momenta rebranded as a Physical AI company ahead of its IPO. It plans to expand from on-road autonomous driving into new scenarios including home service robots, with entry into the embodied intelligence sector scheduled for 2027 and mass commercialization of home robots targeted for 2030.

3. Current business status: The company follows a "one flywheel, two legs" strategy: mass-produced assisted driving generates revenue to fund R&D for Level 4 autonomous driving. Its production-ready City NOA (Navigation on Autopilot) is already fitted in more than 1 million vehicles, while newer offerings such as Robotaxi remain in the pilot stage. Momenta's current valuation already prices in future growth expectations, so it will need significant revenue growth to justify its current valuation.

This article draws actionable insights for strategic planning and brand marketing from Momenta's positioning shift ahead of its IPO, with key takeaways as follows:

1. Lessons for brand narrative: Momenta repositioned itself from an autonomous driving company to a Physical AI player ahead of its IPO to capture greater capital market attention via the hot new sector concept. However, as the new positioning has not yet been reflected in tangible core business results, the secondary market did not grant an additional valuation premium. This demonstrates that new sector narratives require real business traction to earn market validation.

2. Lessons for business strategy: Momenta's "two legs" strategy uses mature mass-market business to generate stable revenue that funds cutting-edge Level 4 R&D. Data collected from mass production in turn optimizes algorithms, and R&D advances then improve production offerings, creating a positive flywheel that has significantly improved profitability. Its revenue grew from RMB 743 million in 2023 to RMB 2.413 billion in 2025, while gross margin expanded from 17.5% to 71.6%. This model is well-suited for cutting-edge technology brands looking to balance near-term survival and long-term R&D investment.

3. Lessons for differentiated positioning: Momenta's positioning as an independent third-party intelligent driving supplier appeals to automakers that do not want to tie themselves to Huawei's ecosystem but lack the capacity to develop in-house technology. It has secured business and capital ties with leading global automakers including Mercedes-Benz and Toyota, successfully opening new market share via this differentiated approach.

This article analyzes Momenta's IPO and business transformation, outlining growth opportunities, actionable lessons and risk warnings for practitioners in the intelligent driving and AI sectors:

1. Future growth opportunities: Physical AI and embodied intelligence are the core future direction of the industry. Momenta's founding team projects the scalable robotics market will hit an inflection point in 2028, growing 10x between 2028 and 2030, with home robots reaching a mass commercialization inflection point in 2030. Industry practitioners can prepare for these opportunities by positioning for these sectors early.

2. A replicable business model: Momenta's "data flywheel + two legs" model uses mature mass-market business to generate stable revenue and data, which in turn fuels R&D for high-level autonomous driving, creating a positive feedback loop. It has also spun off its chip business into an independent incubation, enabling it to offer integrated chip-and-algorithm solutions to boost competitiveness while avoiding dragging down the parent company with heavy-asset R&D. This model structure is worth learning from.

3. Risk warnings: Momenta currently trades at a trailing price-to-sales ratio of around 26x, matching Tesla's valuation during its peak hype period. Its valuation already prices in extensive future growth expectations, so if revenue growth fails to meet projections, the valuation will very likely correct. In addition, Physical AI's cross-scene capabilities remain unproven, so concept-focused hype carries bubble risks.

This article outlines Momenta's business development, highlighting commercial opportunities and growth insights for factories focused on vehicle manufacturing and smart hardware production:

1. Immediate collaboration opportunities: As an independent third-party intelligent driving solution provider unaligned with any vehicle ecosystem, Momenta perfectly matches the needs of vehicle factories that do not want to tie themselves to a large tech player's intelligent driving ecosystem, nor can they afford to self-develop high-level intelligent driving systems. It already has product and capital partnerships with automakers including Mercedes-Benz, Toyota, SAIC Motor and Chery. Small and mid-sized Chinese vehicle factories can rapidly roll out high-level intelligent driving features and cut R&D costs via partnerships with Momenta.

2. Insights for current product demand: High-level intelligent driving has entered the mass deployment phase, with Momenta's City NOA already fitted in over 1 million vehicles, demonstrating rapidly growing consumer demand for high-level intelligent driving features. Vehicle manufacturers need to accelerate the launch of models equipped with high-level intelligent driving to keep up with shifting market demand.

3. Future collaboration opportunities: Momenta plans to enter the embodied intelligence sector in 2027 and commercialize home robots by 2030. It will focus on product design and will not directly participate in manufacturing, leaving abundant collaboration opportunities for downstream manufacturing factories. Relevant manufacturers can establish early connections and positioning to capture growth from the home robotics boom.

This article summarizes the current status and future trends of the AI-powered intelligent driving industry, offering multi-dimensional insights for technology service providers in AI and intelligent driving:

1. Industry development trends: The sector is currently expanding beyond single-scenario autonomous driving into multi-scenario Physical AI. Built on world models as its technical foundation, Physical AI will extend into sectors including home service robots, logistics and industrial applications. Autonomous driving mobility services are projected to see a commercialization boom in 2028, while home robots will reach a mass deployment inflection point in 2030, creating very broad overall industry growth space.

2. Core technology development direction: World models are the core technical foundation of Physical AI. Momenta's released R7 World Model uses a three-layer architecture of world model pre-training, simulation and reinforcement learning self-play, trained on more than 12 billion kilometers of real vehicle driving data, and has already reached mass production deployment with strong performance across key metrics. This marks a key direction for industry R&D.

3. Insights into customer pain points and solutions: The core pain point for automakers today is that they do not want to be tied to a large player's intelligent driving ecosystem, yet lack the capacity to independently develop high-level intelligent driving. Independent third-party service providers perfectly match this unmet demand. Momenta's model of using mature business to fund cutting-edge R&D and spinning off chip business into independent incubation solves the problem of near-term profitability while diversifying the risk of heavy-asset R&D, making it a useful reference for peer service providers.

This article analyzes Momenta's Hong Kong IPO process and business, offering multi-dimensional insights for technology industry and capital market platforms:

1. Observations on enterprise demand: Cutting-edge technology companies are increasingly focused on upgrading their narrative to position themselves in a new growth track ahead of IPOs, switching positioning to tell a new story in pursuit of higher valuation expectations. Momenta's shift from autonomous driving to Physical AI ahead of its listing is a textbook example of this trend. Capital market platforms need to develop tailored services and matchmaking to meet the needs of this type of technology firm.

2. Guidance for listing outreach: Independent third-party intelligent driving solution providers have carved out a successful differentiated growth path. These companies partner with dozens of major automakers, deliver rapid revenue growth and sharply improved profitability, making them high-quality listing candidates. Platforms should prioritize outreach and matchmaking to independent third-party players in the Physical AI and intelligent driving sectors.

3. Guidance for risk mitigation: Many technology companies have already priced in extensive future growth expectations into their valuations before their new sector narrative translates to actual business results, creating certain valuation bubble risks. During the review and operational process, platforms should disclose relevant risks to investors, guide the market to focus on companies' actual business progress, and avoid market volatility driven by pure concept hype.

This paper documents Momenta's narrative shift during its IPO process, providing the latest industry developments and research material for studies on the Physical AI sector, with key takeaways as follows:

1. Latest industry developments: The autonomous driving industry is expanding into the Physical AI space, with leading players shifting from single-scenario on-road autonomous driving to multi-scenario embodied intelligence. Physical AI has become a new growth track jointly focused on by industry and capital. Momenta's listing as the first publicly traded Physical AI company marks the official entry of the sector into secondary market pricing, opening a new stage of industrial capitalization.

2. Research on innovative business models: Momenta pioneered the "one flywheel, two legs" business model, running mass-produced assisted driving and high-level autonomous driving business in parallel. Mass production provides revenue and data to support R&D, and R&D advances in turn improve mass-produced offerings, creating a positive optimization cycle. It also incubates the heavy-asset chip business independently, enabling it to offer integrated software and hardware solutions to boost competitiveness while diversifying R&D risk. This model offers meaningful lessons for the development of cutting-edge AI companies.

3. New open research questions: The cross-scene transfer capability of Physical AI has not yet been commercially validated. Open questions for ongoing industry research include how the secondary market can reasonably price unproven new sector narratives, and whether companies that have already priced in future growth expectations can deliver sufficient revenue growth to support their current valuations.

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.

作者:SY

出品:明亮公司

7月8日,被称为“物理AI第一股”的Momenta(06880.HK)正式在港交所挂牌交易。上市当日,Momenta股价冲高回落,盘中最高涨幅6.50%至314.8港元/股,最终收平于295.6港元/股的发行价。

Momenta上市当日的市值为696.25亿港元,相比此前市场流传的千亿市值仍存在一定差距。至少从上市首日的价格信号看,公开市场并未在295.6港元的发行价之上,为Momenta的物理AI身份支付明显的额外溢价。

“过去十年,我们让AI学会驾驶,为每个家庭带来了专职的司机;未来十年,我们将为每个家庭带来专职的阿姨、医生、教师等机器人的服务场景,开创物理AI的‘GPT时刻’。”Momenta创始人兼CEO曹旭东在上市致辞中表明了Momenta物理AI的发展方向。这也是Momenta首次正式宣布从道路场景进入到家庭场景。

公开资料显示,Momenta公开场合提出物理AI的概念最早可以追溯到2026年3月份。伴随着4月北京车展期间大模型R7的发布,曹旭东提出,自动驾驶是物理AI的序章,而Momenta在物理AI中属于当之无愧的第一梯队。

值得注意的是,早期提交的招股说明书中,Momenta仍将自身定义为一家自动驾驶公司。直到6月24日,Momenta官方介绍中开始使用物理AI公司的自我定义。在此之前的一周,Momenta先后收到证监会批复通知并通过港交所聆讯。

另一家智驾公司地平线CEO余凯在朋友圈表示,“地平线的确不太会混,自动驾驶芯片第一股,自动驾驶第一股,物理AI第一股……,等‘***第一股’从来都没搞过,是一家比较无聊的公司。”

从自动驾驶到物理AI的切换,Momenta的主业在几个月内并未发生根本改变,变化的只是Momenta解释自己的方式。外界对于Momenta物理AI第一股的身份存疑时,公开市场究竟会把Momenta看作一家智驾公司还是一家物理AI公司?

「两条腿」的战略本质:用前装量产养活L4研发

根据Momenta6月24日更新的官方介绍,该公司基于“数据飞轮”技术洞察,量产辅助驾驶(Mass Production)与自动驾驶(Scalable Robo)“两条腿”并行,以世界模型为基座,让物理AI从技术理念走向现实生活。

“一个飞轮,两条腿”的业务策略是将量产车解决方案与Scalable Robo解决方案整合为一体。在商业层面,大规模的量产车解决方案部署提供稳定的收入来源,使Momenta能够推进前沿自动驾驶出租车技术并确保长期增长。

同时,量产车辆收集大量真实世界数据,从而优化算法,进而支持Momenta的自动驾驶出租车服务解决方案。自动驾驶出租车技术的进步反哺量产车解决方案业务,在两个板块之间形成持续的改进循环。

在量产端,这一逻辑在财务数据上已经奏效。2023年至2025年,Momenta的营收分别为7.43亿元、13.25亿元、24.13亿元,毛利率也从17.5%增长至71.6%。同时,高毛利的软件许可收入占比从3.1%提升至40.1%,带动了Momenta整体盈利质量的实质性改善。

Momenta的独立第三方角色为其量产提供了一定优势。那些既不愿意绑定华为智驾生态、又不会采取自研模式的主机厂,会更乐于选择第三方供应商。这不仅体现在产品层面,甚至体现在股权层面,奔驰、丰田、通用、上汽和奇瑞等均与Momenta存在产品和资本层面的绑定。

从Momenta目前的量产车型看,2025年末城市NOA累计安装量已经超过65万辆。7月7日,Momenta官方表示搭载量已超过100万辆。百万辆规模为Momenta的数据飞轮提供了现实基础,但这仍然主要证明其在道路场景中的数据优势,而非跨场景物理AI能力。

另一方面,面向未来的增长引擎Robotaxi、Robovan和Robotruck业务,目前仍处于战略布局阶段,短期内不会为Momenta带来实质性收入。目前,Momenta在苏州与上海仅有少量车辆运营;海外市场,Momenta此前计划2026年年初在阿布扎比和慕尼黑布局,并向迪拜、新加坡和德国的选定城市拓展。

曹旭东预计,Scalable Robo市场的拐点大约在2028年到来。技术层面,头部公司的智驾安全性可以达到人类的10倍到100倍,这也会带来商业层面的爆发,从2028年到2030年,整个市场规模可能会增长10倍。

“更重要的不是现在的规模,是加速度。”曹旭东称,虽然2025年年底Momenta的Robotaxi仅有几十辆,到2026年年底会增加到几百辆,到2027年会增加到数万辆,2028年Scalable Robo的数量可能超过10万辆。

Momenta的叙事转型,还未体现在实际业务中

招股说明书给出的Momenta,是全球最大的独立城市NOA解决方案提供商之一;而在最新的公司叙事中,Momenta已将自己定义为物理AI公司,并把世界模型放在这一新身份的技术基座上。

从3月份向港交所递表,到如今物理AI第一股的定位,Momenta无疑在IPO过程中完成了叙事升级。事实上,这一叙事更多建立在Momenta原有自动驾驶软件基础之上,并进一步向大模型、芯片乃至更多场景延伸。

回到“物理AI”大脑的模型端,Momenta于2026年4月发布的R7世界模型是物理AI叙事最核心的技术锚。R7采用世界模型预训练——仿真——强化学习自博弈三层架构,可兼容乘用车、Robotaxi、Robovan等多载体场景。

数据层面,R7基于超过120亿公里实车里程和1亿段黄金数据训练,是业内较早将世界模型实际装车量产的第三方方案商。R7的AEB误报率<每百万公里1次、变道成功率>95%、环岛通行率>99%、掉头成功率>95%。

Momenta从软件算法商向软硬一体跨越的关键是芯片。Momenta内部孵化的芯片公司新芯航途的BMC X7已完成流片,算力为272TOPS。目前,BMC已获得客户定点,其中包括上汽智己,奇瑞的合作车型也已落地。如果2026-2027年BMC X7能够顺利量产,有望显著提升单车价值量。

不过,芯片业务本身需要大量的资本支出,这也可能是Momenta将芯片业务放在主体公司之外的原因。这样一来,既能让Momenta在对外合作中提供‘芯片+算法’的一揽子方案以增强竞争力,又使得芯片研发的重资产投入既可以单独融资又不会拖累主体公司。

据悉,BMC X7的算力仅为272 TOPS。随着下一代模型对算力需求不断提升,尤其面临世界模型比端到端模型对算力要求更高的情况下,272 TOPS是否能满足下一代算法架构需求,仍有待验证。

BMC X7对标的英伟达Orin X,算力为254TOPS。从目前市场上主流的芯片算力看,地平线的J6P为560TOPS,小鹏集团的图灵芯片为750TOPS,蔚来的神玑NX9031约为1000TOPS,理想汽车的马赫M100为1280TOPS。

当然,TOPS并不能完全代表芯片实际性能,不同计算精度、架构效率、内存带宽和工具链都会影响最终表现。但至少从公开峰值算力看,BMC X7的设计更接近上一代主流智驾芯片,而非当前头部车企面向下一代大模型开发的高算力平台。

Momenta距离物理AI有多远?

Momenta在市场上很难有完全相同的可比公司作参照,Waymo、小马智行和文远知行均以Robotaxi为主要业务,Mobileye则正因为“芯片+算法”的捆绑式黑盒方案授权商,才使得地平线、Momenta这样的中国自动驾驶芯片和软件公司有了更多市场机会。

提及出行领域的AI公司,大家第一时间想到的无疑是特斯拉。目前,特斯拉的FSD的装机量已经覆盖数百万辆车,Robotaxi在美国奥斯汀、达拉斯和休斯敦多地做到无安全员运营,人形机器人Optimus已完成产线验证即将下线。

对应到Momenta,目前其L2+ADAS与世界模型R7两项可以实现规模化单场景,仍未证实跨场景迁移的成功率;Robotaxi目前正处于小规模试点阶段;Robovan与Robotruck目前仍处于叙事阶段;具身智能与跨场景世界模型刚被提及。

从特斯拉在资本市场的表现看,特斯拉在2021年正式提出AI叙事。随后估值进入重塑期,股价最大回撤超70%。直到Cybercab量产启动、机器人Optimus V3内测、在奥斯汀实现全无人运营这些节点逐渐兑现。

Momenta若要成为一家名副其实的物理AI公司,还要在多个维度进行验证。其中,最重要的,是R7的跨场景迁移能力。机器人操控所需的物理直觉与道路视频的物理规律理解是截然不同的两种能力。同时,驾驶领域的数据飞轮能够延伸到具身或工业场景,才能实现跨域迁移的价值验证。

参照Tesla物理AI底座横向复用多具身载体的战略,Momenta在招股书中规划的产品路径,全都基于汽车载体,没有任何具身智能或工业AI产品。未来,Momenta是否有此类商业合同或公开Beta测试,成为其是否具备非道路场景物理AI载体的进一步验证。

根据曹旭东的说法,Momenta计划于2027年开始在具身领域的投入。这一时点是基于该公司以终为始的倒推,他们预计2030年家庭机器人进入拐点,开始规模化的商业化。不过,Momenta仅涉及具身本体的设计,并不会直接进入制造环节。

当然,要成为真正的物理AI基座公司,还需要构建一套基于自身模型的生态,包括开放API,具有可量化的第三方合作伙伴数量和基于Momenta世界模型的应用案例。

这些验证之所以重要,还在于Momenta当前的估值已经提前计入相当部分未来预期。Momenta的静态P/S约为26倍,已经达到甚至略高于特斯拉历史估值最狂热阶段的水平。这意味着,市场给予Momenta的也并不是一家成熟智驾供应商的估值。

对于Momenta而言,未来真正的问题不是P/S还能否继续提升,而是收入增长能否跑赢估值倍数的回落。只有当新的收入增长足以消化当前已经提前支付的预期,Momenta的市值才可能在估值倍数回归的同时继续增长。

注:文/主编24小时在线,文章来源:明亮公司(公众号ID:suchbright ),本文为作者独立观点,不代表亿邦动力立场。

文章来源:明亮公司

广告
微信
朋友圈

FAQ回顾

Momenta是什么公司?

Momenta是被称为“物理AI第一股”的智能驾驶企业,2026年7月8日在港交所挂牌上市,采取量产辅助驾驶与自动驾驶并行的“两条腿”战略,核心技术包括R7世界模型,奔驰、丰田、通用、上汽、奇瑞等主机厂均与其有产品和资本绑定。

Momenta上市首日表现如何?

Momenta上市发行价为295.6港元/股,上市当日盘中最高涨幅6.5%至314.8港元/股,最终收平于发行价,当日市值为696.25亿港元,低于此前市场流传的千亿估值,公开市场未为其物理AI身份支付明显额外溢价。

Momenta近年营收情况怎么样?

2023年至2025年,Momenta营收分别为7.43亿元、13.25亿元、24.13亿元,毛利率从17.5%增长至71.6%,高毛利的软件许可收入占比从3.1%提升至40.1%,整体盈利质量得到实质性改善。

Momenta的R7世界模型有什么特点?

Momenta R7世界模型发布于2026年4月,采用预训练、仿真、强化学习自博弈三层架构,基于超120亿公里实车里程和1亿段黄金数据训练,AEB误报率低于每百万公里1次,变道成功率超95%,环岛通行率超99%,掉头成功率超95%。

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