View Financial HealthAlibaba Group Holding 배당 및 자사주 매입배당 기준 점검 0/6Alibaba Group Holding 은(는) 현재 수익률이 0.87% 인 배당금 지급 회사입니다.핵심 정보0.9%배당 수익률0.4%자사주 매입 수익률총 주주 수익률1.2%미래 배당 수익률1.1%배당 성장률n/a다음 배당 지급일n/a배당락일n/a주당 배당금n/a배당 성향16%최근 배당 및 자사주 매입 업데이트공시 • May 15Alibaba Group Holding Limited announces Annual dividend, payable on July 13, 2026Alibaba Group Holding Limited announced Annual dividend of USD 1.0300 per share payable on July 13, 2026, ex-date on June 11, 2026 and record date on June 11, 2026.모든 업데이트 보기Recent updates공시 • Jun 04+ 1 more updateAlibaba.com Brings Accio Work Agentic AI Platform To Smart Manufacturing Week In BirminghamAlibaba.com was the Official Agentic Business Partner of Smart Manufacturing Week in Birmingham from 3-4 June 2026, bringing Accio Work, its agentic AI platform for businesses, to the show floor to demonstrate how agentic AI can address the operational pressures facing UK manufacturers. At the heart of the partnership is a bespoke 'Event Edition Agent' built specifically for Smart Manufacturing Week. It brings together three practical tools in one place: 'AI Expert Agents', 'Smart Navigation' and 'Industry Trend Reports', giving visitors a live, hands-on way to find suppliers, compare products and make faster procurement decisions on the spot. Accio Work acts as an agentic business team for SMEs, handling sourcing, supplier research and procurement and marketing tasks that would otherwise consume hours of manual effort. According to Alibaba.com's recent study of over 500 UK SME owners, 40% are using AI at least once a week to help overcome day-to-day operational challenges. Time-saving was cited as the primary driver for the adoption (37%), followed by improving efficiencies (36%) and better decision making with better data and insights (22%). The findings shed light on where that time is actually going, and which risk detracting business owners' attention from business growth. More than a third (35%) said dealing with emails take up the most time each month, followed by bookkeeping (31%) and invoicing (17%). 19% of those surveyed said chasing late payments was the time-consuming task they liked the least, while over a quarter of SMEs use their evenings to complete such tasks. Over half (53%) of SMEs believe that running their small business has become more complex in recent years. One of the biggest challenges is knowing which products to stock, develop or launch was a challenge, cited by 49% of respondents. According to the research, the most frequently used AI-powered tools and services include research tools (26%), writing tools (25%), and AI assistants, such as chatbots (24%). Attendees at Smart Manufacturing Week can meet the Alibaba.com team at the AI Sourcing Lounge on Stand E40, where they will explore the latest innovations in smart sourcing, supplier discovery and AI-driven manufacturing solutions including their agentic AI platform Accio Work designed to help businesses improve efficiency, resilience and growth.공시 • May 15Alibaba Group Holding Limited announces Annual dividend, payable on July 13, 2026Alibaba Group Holding Limited announced Annual dividend of USD 1.0300 per share payable on July 13, 2026, ex-date on June 11, 2026 and record date on June 11, 2026.공시 • May 02Alibaba International Digital Commerce Group Launches Accio Work and Accio LaunchpadAlibaba International Digital Commerce Group (Alibaba International) recorded over 230,000 businesses worldwide who have successfully deployed autonomous Agentic Business Teams to manage their e-commerce operations. Accio Work acts as a full-stack digital workforce, where users assign roles to specialized AI agents that collaborate to execute complex tasks. Building on this momentum, Accio Work is expanding to serve B2B sellers on Alibaba.com. Launching in late April, this new capability allows sellers to manage their entire Alibaba.com store directly through Accio Work -- from tracking performance and updating product listings to optimizing daily operations, all via simple natural language commands. In addition to these operational upgrades, Accio Work is extending the reach of its agentic business teams beyond digital retail with the launch of Accio Launchpad. This specialized program is designed specifically for non-product-focused enterprises such as cultural institutions, content creators and tech start-ups who want to create branded merchandise but lack manufacturing expertise. Managed by an autonomous agent team, it guides users from abstract concepts to tangible production by managing material specifications, supplier matching and quality control. The Accio Launchpad program is now open to applications from eligible businesses seeking access to AI-powered tools, expert support and the resources to bring branded merchandise to market. Applications are reviewed on a rolling basis. The Mucha Foundation Art Museum in Prague (Czech Republic) recently demonstrated the power of this approach while developing a souvenir line honoring Art Nouveau legend Alphonse Mucha. Tasked with producing high-craftsmanship items like custom umbrellas and embossed magnets without an internal manufacturing team, the museum used Accio Work to transition from idea to production in record time. The Agentic Business Team executed thousands of steps, including selecting advanced 3D-embossing techniques and negotiating with specialized manufacturers. The result is a curated, limited-edition collection scheduled for launch this June, transforming artistic vision into reality without the need for fragmented tools or industry connections.공시 • Apr 29Alibaba Group Holding Limited to Report Q4, 2026 Results on May 13, 2026Alibaba Group Holding Limited announced that they will report Q4, 2026 results at 9:30 AM, US Eastern Standard Time on May 13, 2026공시 • Apr 09Ultra Accelerator Link Consortium Publishes Four Specifications Defining In-Network Compute, Chiplets, Manageability and 200G PerformanceUltra Accelerator Link Consortium, the industry standards organization developing the open scale-up interconnect for next-generation AI workloads, announced the ratification of the next UALink Specification, which encompasses three major additions – In-Network Compute, Chiplet Definition, and Manageability. The new specifications support the deployment of UALink solutions in multi-workload environments, while simultaneously helping improve UALink technology efficiency, performance for AI workloads and ease of implementation. The UALink Consortium provides a standardized foundation for accelerator connectivity at scale, helping drive innovation, increase deployment flexibility and support the rapidly growing performance demands of next-generation AI workloads. The new specification update is facilitated through UALink Consortium’s open governance model, which fosters innovation while enabling a robust, multi-vendor supply chain, providing system designers and cloud providers with the necessary flexibility to deploy interoperable solutions without vendor lock-in. New UALink Specifications: UALink Common Specification 2.0 introduces In-Network Compute for UALink technology, facilitating computation and communication between accelerators. Reduces latency, saves bandwidth, and improves scaling efficiency for distributed training and inference for AI solutions for complex and multi-workload environments for UALink systems. UALink 200G Data Link and Physical Layers (DL/PL) Specification 2.0 split the DL/PL Specification from the UALink Common Specification to enable UALink to move quickly as new physical layers and speeds are needed by the industry without requiring changes to the other specifications. UALink Manageability Specification 1.0 introduces UALink as a system with centralized control and management planes. Utilizes standardized protocols, modeling and APIs like gNMI, Yang, SAI and Redfish. UALink Chiplet Specification 1.0 defines the necessary information to integrate UALink technology into chiplet-based SoCs, including interfaces, form factors, flow control and chiplet management standardization. Fully compliant with the UCIe 3.0 Specification for simplified integration into existing chiplet ecosystems. All of the UALink specifications are available for public download.공시 • Mar 06Alibaba Group Holding Limited to Report Q3, 2026 Results on Mar 19, 2026Alibaba Group Holding Limited announced that they will report Q3, 2026 results Pre-Market on Mar 19, 2026공시 • Nov 12Alibaba Group Holding Limited to Report Q2, 2026 Results on Nov 25, 2025Alibaba Group Holding Limited announced that they will report Q2, 2026 results Pre-Market on Nov 25, 2025지급의 안정성과 성장배당 데이터 가져오는 중안정적인 배당: BABA06 TH 시장에서 주목할만한 배당금을 지급하지 않으므로 지급이 안정적인지 확인할 필요가 없습니다.배당금 증가: BABA06 TH 시장에서 주목할만한 배당금을 지급하지 않으므로 지급액이 증가하는지 확인할 필요가 없습니다.배당 수익률 vs 시장Alibaba Group Holding 배당 수익률 vs 시장BABA06의 배당 수익률은 시장과 어떻게 비교되나요?구분배당 수익률회사 (BABA06)0.9%시장 하위 25% (TH)3.3%시장 상위 25% (TH)7.4%업계 평균 (Multiline Retail)2.1%분석가 예측 (BABA06) (최대 3년)1.1%주목할만한 배당금: BABA06 의 배당금( 0.87% )은 TH 시장에서 배당금 지급자의 하위 25%( 3.28% )와 비교해 주목할 만하지 않습니다.고배당: BABA06 의 배당금( 0.87% )은 TH 시장에서 배당금 지급자의 상위 25%( 7.43% )와 비교해 낮습니다.주주 대상 이익 배당수익 보장: BABA06 TH 시장에서 주목할만한 배당금을 지급하지 않습니다.주주 현금 배당현금 흐름 범위: BABA06 배당금을 지급하고 있지만 회사에는 잉여현금흐름이 없습니다.높은 배당을 제공하는 우량 기업 찾기7D1Y7D1Y7D1YTH 시장에서 배당이 강한 기업.View Management기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/06/09 10:08종가2026/06/09 00:00수익2026/03/31연간 수익2026/03/31데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델에 대한 자세한 내용은 당사의 Github 페이지에서 확인하실 수 있습니다. 또한 보고서 활용 방법에 대한 가이드와 YouTube 튜토리얼도 제공합니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Alibaba Group Holding Limited는 86명의 분석가가 다루고 있습니다. 이 중 46명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.분석가기관Tianli WenAletheia Analyst Network LimitedZixiao YangArete Research Services LLPJames KelleherArgus Research Company83명의 분석가 더 보기
공시 • May 15Alibaba Group Holding Limited announces Annual dividend, payable on July 13, 2026Alibaba Group Holding Limited announced Annual dividend of USD 1.0300 per share payable on July 13, 2026, ex-date on June 11, 2026 and record date on June 11, 2026.
공시 • Jun 04+ 1 more updateAlibaba.com Brings Accio Work Agentic AI Platform To Smart Manufacturing Week In BirminghamAlibaba.com was the Official Agentic Business Partner of Smart Manufacturing Week in Birmingham from 3-4 June 2026, bringing Accio Work, its agentic AI platform for businesses, to the show floor to demonstrate how agentic AI can address the operational pressures facing UK manufacturers. At the heart of the partnership is a bespoke 'Event Edition Agent' built specifically for Smart Manufacturing Week. It brings together three practical tools in one place: 'AI Expert Agents', 'Smart Navigation' and 'Industry Trend Reports', giving visitors a live, hands-on way to find suppliers, compare products and make faster procurement decisions on the spot. Accio Work acts as an agentic business team for SMEs, handling sourcing, supplier research and procurement and marketing tasks that would otherwise consume hours of manual effort. According to Alibaba.com's recent study of over 500 UK SME owners, 40% are using AI at least once a week to help overcome day-to-day operational challenges. Time-saving was cited as the primary driver for the adoption (37%), followed by improving efficiencies (36%) and better decision making with better data and insights (22%). The findings shed light on where that time is actually going, and which risk detracting business owners' attention from business growth. More than a third (35%) said dealing with emails take up the most time each month, followed by bookkeeping (31%) and invoicing (17%). 19% of those surveyed said chasing late payments was the time-consuming task they liked the least, while over a quarter of SMEs use their evenings to complete such tasks. Over half (53%) of SMEs believe that running their small business has become more complex in recent years. One of the biggest challenges is knowing which products to stock, develop or launch was a challenge, cited by 49% of respondents. According to the research, the most frequently used AI-powered tools and services include research tools (26%), writing tools (25%), and AI assistants, such as chatbots (24%). Attendees at Smart Manufacturing Week can meet the Alibaba.com team at the AI Sourcing Lounge on Stand E40, where they will explore the latest innovations in smart sourcing, supplier discovery and AI-driven manufacturing solutions including their agentic AI platform Accio Work designed to help businesses improve efficiency, resilience and growth.
공시 • May 15Alibaba Group Holding Limited announces Annual dividend, payable on July 13, 2026Alibaba Group Holding Limited announced Annual dividend of USD 1.0300 per share payable on July 13, 2026, ex-date on June 11, 2026 and record date on June 11, 2026.
공시 • May 02Alibaba International Digital Commerce Group Launches Accio Work and Accio LaunchpadAlibaba International Digital Commerce Group (Alibaba International) recorded over 230,000 businesses worldwide who have successfully deployed autonomous Agentic Business Teams to manage their e-commerce operations. Accio Work acts as a full-stack digital workforce, where users assign roles to specialized AI agents that collaborate to execute complex tasks. Building on this momentum, Accio Work is expanding to serve B2B sellers on Alibaba.com. Launching in late April, this new capability allows sellers to manage their entire Alibaba.com store directly through Accio Work -- from tracking performance and updating product listings to optimizing daily operations, all via simple natural language commands. In addition to these operational upgrades, Accio Work is extending the reach of its agentic business teams beyond digital retail with the launch of Accio Launchpad. This specialized program is designed specifically for non-product-focused enterprises such as cultural institutions, content creators and tech start-ups who want to create branded merchandise but lack manufacturing expertise. Managed by an autonomous agent team, it guides users from abstract concepts to tangible production by managing material specifications, supplier matching and quality control. The Accio Launchpad program is now open to applications from eligible businesses seeking access to AI-powered tools, expert support and the resources to bring branded merchandise to market. Applications are reviewed on a rolling basis. The Mucha Foundation Art Museum in Prague (Czech Republic) recently demonstrated the power of this approach while developing a souvenir line honoring Art Nouveau legend Alphonse Mucha. Tasked with producing high-craftsmanship items like custom umbrellas and embossed magnets without an internal manufacturing team, the museum used Accio Work to transition from idea to production in record time. The Agentic Business Team executed thousands of steps, including selecting advanced 3D-embossing techniques and negotiating with specialized manufacturers. The result is a curated, limited-edition collection scheduled for launch this June, transforming artistic vision into reality without the need for fragmented tools or industry connections.
공시 • Apr 29Alibaba Group Holding Limited to Report Q4, 2026 Results on May 13, 2026Alibaba Group Holding Limited announced that they will report Q4, 2026 results at 9:30 AM, US Eastern Standard Time on May 13, 2026
공시 • Apr 09Ultra Accelerator Link Consortium Publishes Four Specifications Defining In-Network Compute, Chiplets, Manageability and 200G PerformanceUltra Accelerator Link Consortium, the industry standards organization developing the open scale-up interconnect for next-generation AI workloads, announced the ratification of the next UALink Specification, which encompasses three major additions – In-Network Compute, Chiplet Definition, and Manageability. The new specifications support the deployment of UALink solutions in multi-workload environments, while simultaneously helping improve UALink technology efficiency, performance for AI workloads and ease of implementation. The UALink Consortium provides a standardized foundation for accelerator connectivity at scale, helping drive innovation, increase deployment flexibility and support the rapidly growing performance demands of next-generation AI workloads. The new specification update is facilitated through UALink Consortium’s open governance model, which fosters innovation while enabling a robust, multi-vendor supply chain, providing system designers and cloud providers with the necessary flexibility to deploy interoperable solutions without vendor lock-in. New UALink Specifications: UALink Common Specification 2.0 introduces In-Network Compute for UALink technology, facilitating computation and communication between accelerators. Reduces latency, saves bandwidth, and improves scaling efficiency for distributed training and inference for AI solutions for complex and multi-workload environments for UALink systems. UALink 200G Data Link and Physical Layers (DL/PL) Specification 2.0 split the DL/PL Specification from the UALink Common Specification to enable UALink to move quickly as new physical layers and speeds are needed by the industry without requiring changes to the other specifications. UALink Manageability Specification 1.0 introduces UALink as a system with centralized control and management planes. Utilizes standardized protocols, modeling and APIs like gNMI, Yang, SAI and Redfish. UALink Chiplet Specification 1.0 defines the necessary information to integrate UALink technology into chiplet-based SoCs, including interfaces, form factors, flow control and chiplet management standardization. Fully compliant with the UCIe 3.0 Specification for simplified integration into existing chiplet ecosystems. All of the UALink specifications are available for public download.
공시 • Mar 06Alibaba Group Holding Limited to Report Q3, 2026 Results on Mar 19, 2026Alibaba Group Holding Limited announced that they will report Q3, 2026 results Pre-Market on Mar 19, 2026
공시 • Nov 12Alibaba Group Holding Limited to Report Q2, 2026 Results on Nov 25, 2025Alibaba Group Holding Limited announced that they will report Q2, 2026 results Pre-Market on Nov 25, 2025