Corporate Events

SoftBank Corp., Board Meeting, Jun 26, 2025. Agenda: To consider and approve to issue stock acquisition rights to executive officers and employees of the Company; and to consider any other matters.

SoftBank Corp. has completed a Fixed-Income Offering in the amount of ¥21.6 billion. Security Name: 1.742% Unsecured Straight Corporate Bonds due May 29, 2030 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: ¥21.6 billion Price\Range: 100% Security Features: Unsecured Coupon Type: Fixed

SoftBank Corp. has completed a Fixed-Income Offering in the amount of ¥60 billion. Security Name: 1.186% Unsecured Straight Bonds due May 28, 2027 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: ¥60 billion Price\Range: 100% Security Features: Unsecured Coupon Type: Fixed

SoftBank Corp. Announces Dividend of JPY 50.00 per share on Series 1 Bond-Type Class Shares for fiscal year ended March 31, 2025 against JPY 41.53 per share a year ago Payable on June 12, 2025. Record date; March 31, 2025, Total dividend; JPY 1,500 million.

AGM

SoftBank Corp. proposed dividend of JPY 4.30 per share for the fiscal year ended March 31, 2025 as compared to dividend of JPY 43.00 per share a year ago. The dividend for the fiscal year ended March 31, 2025 is scheduled to be submitted for approval to the Board of Directors of the Company at a meeting planned for May 20, 2025. Record date is March 31, 2025; Effective date is June 12, 2025. The Company conducted a stock split whereby each share of the Company’s common shares was split into 10 shares, with the effective date being October 1, 2024. For the second quarter of fiscal year ending March 31, 2026, the company expected dividend of JPY 4.30 per share. For the fiscal year ending March 31, 2026, the company expected dividend of JPY 4.30 per share as compared to dividend of JPY 4.30 per share.

SoftBank Corp. provided consolidated earnings forecasts for the fiscal year ending March 31, 2026. For the year, the company expected Revenue of JPY 6,700,000 million; Operating income of JPY 1,000,000 million; Net income attributable to owners of the Company of JPY 540,000 million; and Basic earnings per share of JPY 11.22.

SoftBank Corp., Annual General Meeting, Jun 26, 2025.

SoftBank Corp., 2025 Earnings Call, May 08, 2025

On April 3, 2025, FreeBit Co., Ltd. closed the transaction.

SoftBank Corp., 2025 Earnings Call, May 08, 2025

SoftBank Corp. announced that they will report fiscal year 2025 results at 3:30 PM, Tokyo Standard Time on May 08, 2025

SoftBank Corp. (TSE:9434) acquired an unknown minority stake in SB Energy DevCo (US), LLC on June 30, 2024. Chris McKinnon and Ken Siegel of Morrison & Foerster LLP acted as legal advisors for SoftBank Corp. SoftBank Corp. (TSE:9434) completed the acquisition of an unknown minority stake in SB Energy DevCo (US), LLC on June 30, 2024.

SambaNova announced the expansion of its SambaNova Cloud deployment and partnership with SoftBank Corp. in Japan. SambaNova, in collaboration with SoftBank Corp., is adding racks equipped with SambaNova's efficient AI chips to a new AI data center in Japan, providing developers in the region with fast inference services via SambaNova Cloud. Developers will be given immediate access to the best Japanese open source model, Swallow, developed by Institute of Science Tokyo, as well as Meta's Llama and Alibaba's Qwen via SambaNova Cloud, increasing demand and footprint in the APAC region. In the next quarter, as more open source models are optimized for various Asian languages, they will also be released on SambaNova Cloud for developers in the region.

SoftBank Corp. ("SoftBank"), ZutaCore®? and Hon Hai Technology Group ("Foxconn®?") announced they implemented ZutaCore's two-phase DLC (Direct Liquid Cooling) technology in an AI server using NVIDIA accelerated computing, making it the world's first implementation of Zuta Core's two-phase DLC (Direct Liquid Cooling) technology using NVIDIA H200 GPUs. In addition, SoftBank designed and developed a rack-integrated solution that integrates each component of the server, including cooling equipment with two-phase DLC technology, on a rack scale, and conducted an operational demonstration and performance evaluation at its data center in February 2025. The demonstration results indicated the solution passed NVIDIA's temperature test (NVQual), thereby confirming the compatibility, stability and reliability of this rack-integrated solution. The solution also achieved pPUE (partial Power Usage Effectiveness) of 1.03 (actual measured value) per rack for cooling efficiency. The closer the number is to 1.0, the more energy efficient it is. Features of rack-integrated solution optimized with two-phase DLC technology: By integrating server components such as cooling equipment equipped with 2-phase DLC technology, which conventionally had to be optimized individually, on a rack scale, it is possible to provide a "Plug & Play" solution that can be used immediately by simply connecting the equipment. This makes it easy and simple to install in AI data centers. ZutaCore's two- phase DLC technology, which cools the chipsets (CPUs, GPUs, memory, etc.) that are the heat sources in the server by bringing them into contact with a cold plate, circulates a special insulating heat transfer (dielectric) fluid with a low boiling point in the cold plate and uses heat absorption during the phase change from liquid to gas caused by the heat source. Efficient cooling is achieved through repeated evaporation and condensation. In addition, the water temperature can be maintained at a higher temperature than in conventional water-cooled facilities, which improves the heat transport capacity of the water used for cooling and reduces the flow rate of water to achieve the required cooling effect.

Conference for Individual Investors

ESG Briefing Session

Izuma Networks announced its participation in the "Hyper-Distributed Computing Technology Development" project, part of the "Post-5G Information and Communication System Infrastructure Enhancement Researchand Development Project" led by the New Energy and Industrial Technology Development Organization (NEDO). This participation is made possible through a partnership with SoftBank Corp. NEDO, an independent administrative agency under the jurisdiction of the Ministry of Economy, Trade, and Industry (METI), plays a central role in promoting innovation and technological advancements to address social and industrial challenges in Japan. This project aims to develop a next-generation digital infrastructure capable of supporting a hyper-digitalized society. By advancing hyper-distributed computing technologies, Izuma Networks is contributing to the realization of a system where vast and diverse data sets are processed quickly and efficiently at optimal locations. These capabilities are essential for AI-driven innovations, enabling real-time analytics, decision-making, and system responsiveness in industries such as smart cities and autonomous driving. The incorporation of AI technologies, combined with hyper-distributed computing, ensures the efficient utilization of computational resources and enhanced scalability, leading to significant advancements in automation, optimization, and intelligent data processing. This, in turn, supports digital transformation (DX) and accelerates innovation across various sectors. Additionally, the optimization of data processing workflows reduces energy consumption, contributing to environmental sustainability and the achievement of carbon neutrality. Through this initiative, Izuma Networks is driving the development of advanced technologies essential for building next-generation digital infrastructure. solutions empower businesses and society to thrive in a rapidly evolving technological landscape. For investors, this initiative demonstrates Izuma Networks' robust technical capabilities and strong growth potential. For businesses, solutions represent a powerful tool to enhance competitiveness and innovation in a digitally interconnected world.

PayPay Bank Corporation agreed to acquire an additional 31% stake in PayPay Securities Co., Ltd from SoftBank Corp. (TSE:9434) and Ly Corporation on February 10, 2025. Upon completion, PayPay Bank Corporation will own 66% stake in PayPay Securities Co., Ltd.

SoftBank Corp. Presents at Open Networking & Edge Summit, Mar-31-2025 . Venue: London, United Kingdom. Speakers: Alex Jinsung Choi, Chair AI RAN Alliance and Principal Fellow.

The Linux Foundation, Open Networking & Edge Summit, Mar 31, 2025. Venue: London, United Kingdom.

SoftBank Corp., Q3 2025 Earnings Call, Feb 10, 2025

SoftBank Corp., Q3 2025 Earnings Call, Feb 10, 2025

SoftBank Corp. has announced a Fixed-Income Offering in the amount of ¥126 billion. Security Name: 1.81% Unsecured Corporate Bonds due February 4, 2032 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: ¥126 billion Price\Range: 100% Security Features: Unsecured Coupon Type: Fixed

SoftBank Corp. announced that they will report Q3, 2025 results on Feb 10, 2025

SoftBank Corp. has filed a Shelf Registration. Security Name: Bond Principal Amount: ¥200 billion

SoftBank Corp. expected to report Fiscal Year 2025 results on May 9, 2025. This event was calculated by S&P Global (Created on January 1, 2025).

SoftBank Corp. - Special Call

Foresight Autonomous Holdings Ltd. announced that its wholly owned subsidiary, Eye-Net Mobile Ltd. has entered into a multi-phase agreement with SoftBank Corp. The collaboration aims to evaluate Eye-Net's cutting-edge cellular vehicle-to-everything (C-V2X) technology as a key component in advanced driver assistance systems, potentially setting a new standard for road safety. Under the terms of the agreement signed earlier this year, Eye-Net is conducting a paid proof of concept (POC) project supported by SoftBank's cellular network infrastructure. This initiative is designed to explore the integration of Eye-Net's non-line-of-sight collision avoidance solution into the automaker's future vehicle systems, addressing critical challenges in real-time situational awareness. The initial phase of the collaboration consists of an evaluation of Eye-Net™? Sense demonstration kit in a standalone mode. Upon successful evaluation, the parties may engage in the second phase of integrating Eye-Net Sense into the vehicle manufacturer's infotainment systems. Successful completion of the first two phases could lead to the integration of the Eye-Net Sense solution into the manufacturer's advanced driver assistance systems, potentially leading to the full commercial deployment in the manufacturer's vehicles.

Aizip, Inc. in partnership with SoftBank Corp. announced the release of customized Small Language Model (SLM) and Retrieval Augmented Generation (RAG) solutions for enterprise applications. The system operates locally on mobile devices or on-premises servers, addressing the pressing concerns of enterprise data safety. Fine-tuned with domain specific data, these SLMs can address unique enterprise tasks with comparable accuracy to 100x larger cloud LLMs. This announcement comes as many companies have implemented bans on cloud-based LLMs for business-related tasks,iting concerns about leaks of private information. A recent survey from Menlo Ventures found that 21% of failed AI pilots were due to data-privacy hurdles. Fine-tuned SLMs are an alternative to general LLMs, offering security and privacy of information along with the benefits of AI-enabled work. Many enterprises have explored using open-source Small Language Models that run locally and efficiently on-premises as replacements for cloud-based LLMs. However, these models have generally turned out to be too reliable to meet production-level performance requirements. Aizip and SoftBank address this challenge with innovative new solutions. The joint team developed and delivered a customized SLM integrated into a RAG system, running locally as a mobile application. When applied to SoftBank's internal documents the application offers employees a Q&A platform that generates accurate, up-to-date response, running entirely on an iPhone 14. Testing shows that the system satisfactorily addresses 97% of employee questions, and response quality measured on a dataset of 22,000 questions matched responses generated by a GPT-4o-based RAG system. The key to this unique reliability is Aizip's SLM-customization pipeline, which includes high-quality data generation, fine-tuning, and multifaceted evaluation. Although the first product was developed for the iPhone, Aizip's flexible SLM-deployment tools allow SLMs and RAG systems to run on a variety of edge platforms, including on-premises servers, PCs, and even IoT devices like microprocessors (MPUs), as announced in June 2024. Looking ahead, the joint team aims to leverage SoftBank's rich expertise in enterprise services and Aizip's cutting-edge AI technology to expand customized SLM solutions to a broader range of applications and customers. Aizip remains committed to delivering production-grade AI solutions for a variety of on-device applications. With extensive experience in developing robust and efficient AI models across Aizip Intelligent Audio (AIA), Vision (AIV), and Time-Series (AIT) product lines, Aizip continues to pioneer SLM technology, focused on improved accuracy, reliability, speed, and development efficiency.

Trustwave Holdings, Inc. signed a definitive merger agreement to acquire Cybereason Inc. from SoftBank Corp. (TSE:9434) and others on November 12, 2024. The transaction is subject to customary closing conditions and regulatory approvals and is expected to close in early 2025.

LF Networking (LFN) announced that SoftBank Corp. (SoftBank) has joined as a Platinum member. This strategic addition strengthens LFN's mission to foster innovation and open source collaboration across the telecommunications and technology sectors, with SoftBank bringing significant expertise in 5G, AI, edge computing and advanced connectivity solutions. SoftBank's Platinum membership highlights its commitment to building intelligent, scalable, and open network infrastructures. Through its membership, SoftBank joins a global community of technology leaders, developers, and stakeholders who are collectively pioneering new standards and frameworks for network automation, edge computing, AI-driven networking, and 5G. SoftBank's Ryuji Wakikawa, Head of Research Institute of Advanced Technology, joins the LFN Governing Board to collaboratively advance the project's strategic mission. SoftBank Corp. is a global leader in telecommunications and digital solutions, specializing in 5G, 6G, IoT, AI, and sustainable tech. Focused on advancing digital transformation and connectivity solutions, SoftBank is committed to building scalable, resilient networks that enhance user experiences worldwide. SoftBank joins existing LFN Platinum member organizations, including: China Mobile, China Telecom, Cisco, Deutsche Telekom, Ericsson, Google, Huawei, Infosys, Nokia, Qualcomm, Red Hat, Tech Mahindra, TELUS, Verizon, and Walmart.

Red Hat, Inc. and SoftBank Corp. announced a collaboration on joint research and development of artificial intelligence radio access network (AI-RAN) technologies. The resulting solutions will be intended to help maximize the use of AI for enhanced network orchestration and optimization, and aim to deliver intelligent, autonomous networks with improved performance, higher resource efficiency and a better user experience. These are particularly critical in supporting 5G and future 6G network use cases where AI-enabled applications can leverage these solutions for differentiated service offerings and new revenue streams. Red Hat and SoftBank are advancing the integration of high performing AI technology, running on Red Hat OpenShift, within the radio access network (RAN) infrastructure to enable faster data processing and resource optimization for service providers to achieve enhanced performance, intelligent automation and enhanced multi-layer security. This approach helps service providers redefine network operations and unlock new revenue opportunities with scalable, secure management of both virtualized RAN and AI applications on a single, unified platform. As part of this collaboration, Red Hat and SoftBank are focused on the following: Support for AI and RAN functions on Arm architecture for better optimization, compatibility and performance of a flexible RAN solution built on Red Hat OpenShift, the industry’s leading hybrid cloud application platform powered by Kubernetes; Performance optimization of distributed units (DU) on hardware accelerated Arm architecture for low latency and high-throughput communication, helping to address the evolving needs of future networks; Development of an orchestrator, in collaboration with NVIDIA, for intelligent and autonomous network operations that can enhance service availability, agility and quality of experience. According to a Red Hat-sponsored sustainability study, RAN is responsible for 75% of a service provider’s total power consumption. By adopting better resource optimization and power use, service providers can reduce their energy consumption and advance their sustainability goals. Lastly, in order to make this technology available to the broader telecom industry, SoftBank and Red Hat will work together to help deliver new AI use cases through the development of an open and interoperable RAN ecosystem. Through their membership in the AI-RAN Alliance, both companies will have the opportunity to collaborate with industry ecosystem partners and research institutions to help advance research and conduct additional proof-of-concept testing for new AI-RAN technologies and solutions.

SoftBank Corp. announced it launched full-fledged initiatives to develop “AITRAS,” a convergence solution based on the AI-RAN concept that can host both AI and RAN (Radio Access Network) workloads on the same NVIDIA-accelerated computing platform. SoftBank will not only implement AITRAS – a carrier-grade convergence solution with high capacity, high performance and high quality – across its own commercial network, it also aims to expand the solution to telecom operators globally from 2026 and beyond. AITRAS is the productization of AI-RAN, an architecture that is aimed at achieving high performance and efficiency in AI and RAN while leveraging the features of NVIDIA’s AI and accelerated computing platform. The solution not only provides a carrier-grade RAN with high capacity, high performance and high quality on an NVIDIA GH200 Grace Hopper Superchip platform — it also enables concurrent and efficient operations with a variety of AI applications, including generative AI. In real-world wireless environments, various high-speed processing and algorithmic functions are applied to maximize performance while dealing with daily occurrences such as sudden traffic surges and multipath radio interference. However, as these processes become increasingly advanced and complex, maintaining system stability becomes a challenge. AITRAS’s L1 software, which is SoftBank’s newly developed L1 software that is based on the NVIDIA AI Aerial platform, provides the high stability and high performance essential for a carrier-grade RAN through parallel processing of the signal and optimization of task initiation timing, while also contributing to the maximization of the RAN capacity and reduction in power consumption. SoftBank also developed an orchestrator that coordinates with the virtualization platform, which is expected to improve cost-effectiveness through operational efficiency and reduced power consumption by efficiently and dynamically allocating computing resources based on the unique application characteristics of AI and RAN. By implementing AITRAS, telecom operators can build an AI infrastructure while maintaining investments in its traditional RAN infrastructure. Additionally, by leveraging AI for network optimization, they can achieve efficient and innovative infrastructure investments. AITRAS is implemented with NVIDIA AI Enterprise, a software platform that includes a set of functions that enables the easy development and deployment of large language models (LLMs). With this implementation, enterprise customers can also develop and deploy their own AI applications. SoftBank is aiming to offer and deploy an AITRAS reference kit (“Reference Kit”) to telecom operators from 2025 and beyond, for the purpose of demonstrating the practicality and effectiveness of its convergence solution AITRAS, which brings the AI-RAN concept to life by enabling AI and RAN to operate on the same network infrastructure. By implementing the Reference Kit into their indoor and outdoor labs, telecom operators will be able to independently verify the functionality, performance and cost-effectiveness of AI-RAN running on an NVIDIA-accelerated computing platform. Telecom operators can also create new use cases by developing their own AI applications, deploying them and conducting verification on the Reference Kit. With this Reference Kit, high-capacity, high-performance and high-quality carrier-grade RAN and various AI applications such as generative AI can run concurrently on an NVIDIA AI computing infrastructure. Additionally, the Reference Kit provides an orchestrator, enabling efficient computing resource operations. This Reference Kit is a system primarily composed of the following 7 elements. Orchestrator, Edge AI Applications, RAN L2/L3 Software, RAN L1 Software, Virtualization Platform, NVIDIA GH200 Grace Hopper Superchip, Radio Unit. SoftBank plans to launch a partner program to facilitate smooth and active demonstration using this Reference Kit. Going forward, SoftBank remains committed to ensuring that the unique features of AI-RAN are fully recognized in the telecom industry, while driving the adoption and rapid deployment of AITRAS. Through these efforts to integrate AI and telecommunications, SoftBank will continue to build on its strengths and contribute to the advancement of a prosperous society.

SoftBank Corp. announced it developed 5G L1 software based on the NVIDIA AI Aerial platform, delivering the high stability and high performance essential for a carrier-grade RAN through parallel signal processing and the optimization of task initiation timing. With this newly developed L1 software, carrier-grade stability has been achieved. In addition to realizing high stability, SoftBank will develop L1 software that can achieve maximized RAN capacity and reduced power consumption. SoftBank constructed the world’s first high-quality 5G vRAN (virtual Radio Access Network) outdoor testing environment, utilizing its newly developed L1 software running on the NVIDIA GH200 Grace Hopper Superchip platform. NVIDIA Grace Hopper Superchip architecture brings together the accelerated performance of the NVIDIA Hopper architecture with the versatility of the Arm® Neoverse™ V2 - based NVIDIA Grace CPU in a single superchip. SoftBank built the world’s first outdoor testing environment that enables the baseband processing of 20 5G cells with a bandwidth of 100 MHz on a single server featuring the NVIDIA GH200 Grace Hopper Superchip in Fujisawa City, Kanagawa Prefecture. The 4.9 GHz frequency band was used for this outdoor test and a maximum communication capacity of approximately 1.3 Gbps per cell through a maximum of 4-layer MIMO (Multi-Input Multi-Output) was achieved. The high-speed processing capabilities of NVIDIA’s accelerated computing platform are highly compatible with high-frequency bands that can be allocated to a wide frequency bandwidth per cell, and these capabilities are expected to be applied to future 6G applications such as centimeter waves. Furthermore, since such high-frequency cells are expected to be deployed in high-traffic urban areas, this AI-RAN outdoor test simulates an urban environment, creating a dense configuration with a high-interference area and a mobility area for test drives. For mobile phones, it is necessary to have stability and high connectivity that will minimize the time the cell stops functioning due to failures or malfunctions during long-term operations, as well as network outages due to deterioration of radio wave quality. To achieve these at a high level, it is required to make verifications not only in a controlled radio environment like a laboratory, but also in an irregular radio environment that is situated outdoors. In this test, SoftBank is conducting various trials using more than 100 terminals to confirm the RAN’s stability and high connectivity, which are necessary for a carrier-grade service. Going forward, SoftBank plans to evaluate spatial multiplexing technologies, such as Massive MIMO, and AI for RAN, a technology that enables the enhancement of RAN performance with AI.

SoftBank Corp. expected to report Q3 2025 results on February 7, 2025. This event was calculated by S&P Global (Created on November 8, 2024).

SoftBank Corp., Q2 2025 Earnings Call, Nov 08, 2024

SoftBank Corp., ¥ 4.30, Cash Dividend, Mar-28-2025

SoftBank Corp., Q2 2025 Earnings Call, Nov 08, 2024

SoftBank Corp. announced that they will report Q2, 2025 results on Nov 08, 2024

SoftBank Corp. and Intelsat signed a groundbreaking collaboration agreement that will lead to the launch of a single “Ubiquitous Network” enabling customers to stay connected everywhere they go. SoftBank and Intelsat will jointly lead research and development of seamless 5G connections between terrestrial mobile networks and satellite communications networks. In a society where everyone and everything is increasingly dependent on staying connected, convenient, and always-on, telecommunications are essential. However, despite the coming realization of autonomous mobility with automobiles, ships, drones and other vehicles, many areas are still without ground-based mobile network coverage and require separate devices and accounts to connect to non-terrestrial networks. Through the new collaboration, SoftBank and Intelsat plan to jointly develop a hybrid communication solution that allows users to stay connected via available networks, whether terrestrial or satellite, anywhere in the world with the convenience of one device and one account. The solution will build on the same standard architectures, interfaces and processes that enable roaming of devices between terrestrial cellular networks and will help make the commercial adoption of mobility solutions based on new 3GPP 5G standards for non-terrestrial networks a reality much sooner. One of the key goals of the collaboration is to develop a universal device that will always stay connected regardless of where in the world it goes. For example, a future connected vehicle equipped with such a device will be able to seamlessly switch to a non-terrestrial satellite communication network when outside of terrestrial mobile network coverage. The targeted solution is expected to have wide commercial applicability, including in land mobile, maritime, and disaster response and recovery. Design, development, field testing and commercialization of new hybrid network products between Intelsat and SoftBank will be conducted in phases, aligned with the development of the new 3GPP 5G non-terrestrial network standards. The resulting hybrid solutions will allow for existing satellite terminals to be used in the near term and newer 5G-based terminals as they become available.

SoftBank Corp. (TSE:9434) is in talks to invest about JPY 100 billion ($684 million) in electronics maker Sharp Corporation (TSE:6753), but the feasibility of the deal remains unclear, Kyodo news agency reported on August 22, 2024. SoftBank's investment plan emerged amid its negotiations to acquire part of Sharp's Sakai plant to build an AI data centre, but the two companies are seen disagreeing over the terms, Kyodo said.

SoftBank Corp., Q1 2025 Earnings Call, Aug 06, 2024

The company closed its plan on July 31, 2024.

From April 25, 2024 to July 31, 2024, the company has repurchased 5,625,000 shares, for ¥4,950 million. With this, the company has completed the repurchase of 5,625,000 shares, for ¥4,950 million under the buyback announced on April 25, 2024.

Foresight Autonomous Holdings Ltd. announced that its wholly owned subsidiary, Eye-Net Mobile Ltd. (“Eye-Net”), has signed a three-way multi-phase agreement for a paid proof of concept (POC) project with SoftBank Corp. and a Japanese vehicle manufacturer. SoftBank will provide the required cellular network infrastructure and support for the project. The project is part of a multi-phase plan to be initiated during the third quarter of 2024. The initial phase will consist of an evaluation of Eye-Net™ Sense demonstration kit in a standalone mode. Upon successful evaluation, the parties may engage in the second phase of integrating Eye-Net Sense into the vehicle manufacturer’s infotainment systems. Successful completion of the first two phases could lead to the integration of the Eye-Net Sense solution into the manufacturer’s advanced driver assistance systems (ADAS), potentially leading to full commercial deployment in the manufacturer’s vehicles.

avatarin Inc. announced that it has received ¥3.7 billion in a equity round of funding on July 18, 2024. The transaction included participation from new investors OVC II Investment Limited Partnership, a fund managed by Omron Ventures Co., Ltd., Fuyo General Lease Co., Ltd., Mizuho Bank, Ltd., San-Ai Obbli Co., Ltd., Sumitomo Mitsui Trust Bank, Limited, SoftBank Corp. The company has raised a total of ¥7.7 billion in funding till date. The company has raised money through third-party allotment of new shares.

SoftBank Corp., ¥ 43.0, Cash Dividend, Sep-27-2024