Block公司股价上涨超4%,因盈利与营收双双超越预期

cryptonews.ruPublished on 2026-08-05Last updated on 2026-08-05

Abstract

支付公司Block公布的第二季度财报超出华尔街预期,推动其股价盘后上涨超4%。调整后每股收益达1.02美元,高于预期的0.87美元;季度营收66.2亿美元,也超过约64.9亿美元的预期。 公司同时上调全年指引,预计2026年全年毛利润将达125.1亿美元,同比增长21%。首席执行官杰克·多西强调,公司侧重于使用调整后毛利润、调整后营业利润和调整后每股收益等非GAAP指标来评估运营表现,以尽量减少比特币交易和价格波动对核心业务指标的影响。公司初步预计,第二季度Cash App的比特币生态系统相关营收约为18亿美元。 业绩增长主要由Cash App推动,其毛利润同比增长31%;面向商家的Square业务毛利润增长13%。公司整体毛利润同比增长25%,调整后营业利润率达到创纪录的27%。用户活跃度方面,核心银行活跃用户数和商业启用交易量均增长17%,消费贷款发放量激增59%。 此外,Block正在实施成本削减计划,包括裁员超过50%,并更广泛地应用人工智能工具。公司预计2026年调整后营业利润和调整后稀释每股收益将分别大幅增长67%和70%。完整财报将于2026年8月5日发布。

支付系统公司Block(纽交所代码:XYZ)在盘后交易中股价上涨超过4%,此前该公司公布的第二季度业绩超越了华尔街预期。截至6月30日的三个月,经调整后的每股收益达到1.02美元。

跟踪伦敦证券交易所集团(伦交所代码:LSEG)的分析师此前预期每股收益为87美分。季度营收达到66.2亿美元,超过了分析师约64.9亿美元的预期。

由杰克·多西领导的这家公司还提高了其全年目标。Block现在预测2026年毛利润将达到125.1亿美元,这意味着较前一年增长21%。之前的全年目标是123.3亿美元,即增长19%。这份财报是在美国支付公司一个成功的财报季结束时发布的。

Block在评估运营业绩时,将比特币活动与业务指标分开考虑

Block表示,在评估自身表现时,公司同时考虑根据美国通用会计准则(GAAP)计算的结果和非GAAP指标的结果。公司最关注的是毛利润、调整后营业利润和调整后每股收益。

“比特币交易和比特币价格变动在历史上对毛利润、调整后营业利润和调整后每股收益影响不大,但可能导致GAAP下的报告营收和净利润出现显著波动。为了在这些方面提供更高的透明度,我们在公布盈利报告前,会发布Cash App在比特币生态系统的营收以及我们比特币投资的公允价值重估数据,”Block表示。

根据Block的初步估计,Cash App在第二季度来自比特币生态系统的营收为18亿美元。这一金额主要包括客户通过Cash App购买的比特币的美元价值。

该公司还预计,由于以6月30日收盘价对其比特币投资进行公允价值重估,将产生8850万美元的会计亏损。Block将此项列在营业利润之下。这仅影响GAAP下的利润,不影响用于跟踪业务的调整后运营指标。

Block表示,这两项比特币相关数据都是初步且未经审计的,并未反映整个季度的情况。公司计划在2026年8月5日发布完整的报告。

Cash App来自比特币的营收可能迅速变化,因为比特币价格和客户交易量从不稳定。Block自身比特币持仓的会计盈亏也会随着比特币市场价格波动而增减。

Cash App通过银行业务、贷款和在线交易活动的增长提振了Block季度业绩

这一增长的主要贡献者是Cash App。其毛利润较上年同期增长了31%。面向商家的Square业务增长了13%。整个Block的毛利润实现了25%的同比增长。

该公司还报告调整后营业利润率为27%,为其历史最高水平。调整后摊薄每股收益较上年增长65%,达到创纪录的1.02美元。

Cash App内的用户活动也有所增长。主要银行业务的活跃用户数量增长了17%,Cash App商业支持功能的采用量也增长了17%。消费者贷款发放量增长了59%,其中大部分增长来自Cash App Borrow。

Square的支付量在其商户网络全面增长。Square的总支付额(GPV)同比增长了13%。美国的总支付额增长了10%,这是自2023年第二季度以来国内市场的最快增速。国际总支付额增长了28%。

Block公司还在削减成本。今年2月,该公司宣布计划在一项更广泛的重组中裁员超过50%,该重组旨在将人工智能引入日常运营的更多方面。

“智能工具是下一个重大的技术转变,但对Block而言,机器学习并非新鲜事物,”杰克在致股东信中写道。

Block预测,2026年毛利润将增长21%,调整后营业利润增长67%,调整后摊薄每股收益增长70%。

财务业绩材料中建议读者参考附录,其中包含了公司对以下指标的界定:活跃交易数量、Square的毛利润、主要银行业务活跃数量、Cash App商业采用量和Cash App消费者贷款发放量。Block还提供了表格,将每个非GAAP指标与最接近的GAAP指标联系起来。

end-content

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Related Questions

QBlock公司第二季度的关键财务数据有哪些,与分析师预期相比如何?

A第二季度经调整后的每股收益为1.02美元,超过伦敦证券交易所集团分析师预期的0.87美元。季度营收达到66.2亿美元,也高于分析师约64.9亿美元的预期。

Q公司对2026年的盈利预测进行了怎样的调整?

ABlock将2026年全年的毛利润预期上调至125.1亿美元,意味着较前一年增长21%。此前的目标为123.3亿美元,增长19%。

Q文章提到Block如何在财报中分离比特币业务的影响?

ABlock将比特币相关活动(如Cash App的比特币生态系统收入和比特币投资重估)与核心运营指标分开披露。公司在评估业绩时主要关注毛利润、调整后运营利润和调整后每股收益,而不是受比特币价格波动显著影响的GAAP报告收入和净收入。

Q哪些业务板块推动了Block第二季度的业绩增长?具体数据如何?

A主要增长由Cash App业务驱动:其毛利润同比增长31%。Square卖家业务增长13%。公司整体毛利润同比增长25%。此外,调整后运营利润率达到27%的历史新高,调整后摊薄每股收益同比增长65%至1.02美元。

Q在用户活跃度方面,Cash App有哪些具体指标的增长?

ACash App内用户活跃度显著提升:使用其核心银行服务的活跃用户数量增加了17%,Cash App商业启用(Commerce Enablement)的使用量也增长了17%。此外,通过Cash App Borrow发放的消费者贷款额猛增了59%。

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Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

974 Total ViewsPublished 2025.01.14Updated 2025.01.14

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