Worth reading
49Recurring
0–100. This measures how worthwhile something is to read, not how good or bad the company is.Direction
Improvement
Direction inferred from the company’s description.Scale
128588
Millions of yen (increase in revenue from actual results for the fiscal year ending March 2026 to the forecast for the fiscal year ending March 2027)Wording
Avoiding a definitive answer
How definitive the wording is.Items stated in the management plan
Annual updateNet Sales+382.6%
基準 33,605Target162,193million
Operating profit+600.2%
基準 3,544Target24,815million
Net income for the current fiscal year+210.7%
基準 2,801Target8,704million
Each line is the climb from the baseline the document states to the target it sets. The slope is scaled against the largest climb in this document. The increase shown by the dotted line is calculated from the two reported figures because the company did not provide the amount of growth.
Total investment plan¥54,770 million (use of funds including capital expenditures and working capital for the AI data center business)
Investment amount by sectorField Funding for the development and construction of TAIZA, the AI cloud stack / Amount ¥1,000 million, Field Funding for the acquisition of AI data center-related equipment / Amount ¥709 million, Field Funding for the acquisition of a complete GPU server package / Amount ¥1,648 million, Field Working capital for recruitment expenses, personnel expenses, cash on hand and other purposes / Amount ¥700 million, Field Debt Repayment / Amount ¥600 million, Field Capital expenditures, working capital and other expenses for the AI data center business / Amount ¥54,770 million (of which ¥10,262 million has been allocated)
Key initiatives
01Develop TAIZA as a new AI cloud stack, with the aim of enhancing its functionality and expanding its offering.
02Build a strong partnership network spanning the upstream to downstream stages of the production process and supply chain.
03Expand new, state-of-the-art AI data center locations globally, with a focus on the Asia-Pacific region and Europe.
04Form business partnerships with Taiwanese suppliers to secure GPU servers even in a supply-constrained market.
05Globally launch OHMAI, an AI sidekick device.
06Going forward, promote large-scale deployments of B300 and GB200/300 in addition to B200, with the aim of building AI superclusters.
Plan assumptionsThe AI infrastructure market is forecast to exceed US$400 billion by 2033, with a CAGR of 27.53% from 2024 to 2033., The AI server market is forecast to grow from 2 million units in 2024 to 3.2 million units in 2027, with a CAGR of 24.7% from 2024 to 2027., The forecast for the fiscal year ending March 2027 includes the first data center projects in Japan, Australia and Thailand, and is based on revenue for the 8-month period from August 2026 to March 2027., The earnings forecast does not include revenue from M&A transactions or other AI infrastructure business pipeline projects.
Non-financial targetsIndicator name Number of GPUs operated by TAIZA / Target value 20,180 units / Timing As of 18 May 2026 (actual), Indicator name Number of GPUs deployed for Project A / Target value 5,000 B300 units / Timing 2026 project, Japan, contracted project, Indicator name Number of GPUs deployed for Project B / Target value 10,000 B300 units, to be expanded in stages to 30,000 units / Timing 2026 project, Australia, contracted project, Indicator name Number of GPUs deployed for Project C / Target value 5,000 B200 units / Timing 2026 project, Thailand, prospective project, Indicator name Number of GPUs deployed for Project D / Target value 70,000 GB200/300 units (scale of 1,000 racks) / Timing 2026 project, prospective project, Indicator name Number of GPUs deployed for Project E / Target value 100,000 GB200/300 units (scale of 1,500 racks) / Timing 2026 project, prospective project, Indicator name Number of GPUs deployed for Project F / Target value 30,000 B300 units / Timing 2026 project, location under discussion, prospective project, Indicator name Number of GPUs deployed for Projects G and H / Target value 5,000 B200 units each / Timing 2026 projects, Japan, prospective projects, Indicator name Number of GPUs deployed for Project I / Target value 70,000 B300 units / Timing 2026 project, UAE, prospective project
Size of the Target MarketMarket AI infrastructure market / Scale More than US$400 billion in 2033 / Growth rate CAGR of 27.53% from 2024 to 2033 / Source Precedence Research『Artificial Intelligence (AI) Infrastructure Market Size, Share, and Trends 2024 to 2033』, Market AI server market / Scale 2 million units in 2024 and 3.2 million units in 2027 / Growth rate CAGR of 24.7% from 2024 to 2027 / Source Market Intelligence & Consulting Institute『Taiwan Accounts for 90% Global AI Server Shipments with Two Major Growth Drivers Anticipated in 2024』
Risks identified by the company
Business investment (high)
Foreign exchange risk (medium)
Geopolitical risk (medium)
Securing human resources (medium)
| Item | Details |
|---|---|
| Plan name | Business Plan and Growth Potential |
| Progress against the plan | Annual update |
| Sales Target | ¥33,605 million → ¥162,193 million（+382.6%） |
| Operating profit target | ¥3,544 million → ¥24,815 million（+600.1%） |
| Net income target | ¥2,801 million → ¥8,704 million（+210.7%） |
| Total investment plan | ¥54,770 million (use of funds including capital expenditures and working capital for the AI data center business) |
| Investment amount by sector | Field Funding for the development and construction of TAIZA, the AI cloud stack / Amount ¥1,000 million, Field Funding for the acquisition of AI data center-related equipment / Amount ¥709 million, Field Funding for the acquisition of a complete GPU server package / Amount ¥1,648 million, Field Working capital for recruitment expenses, personnel expenses, cash on hand and other purposes / Amount ¥700 million, Field Debt Repayment / Amount ¥600 million, Field Capital expenditures, working capital and other expenses for the AI data center business / Amount ¥54,770 million (of which ¥10,262 million has been allocated) |
| Non-financial targets | Indicator name Number of GPUs operated by TAIZA / Target value 20,180 units / Timing As of 18 May 2026 (actual), Indicator name Number of GPUs deployed for Project A / Target value 5,000 B300 units / Timing 2026 project, Japan, contracted project, Indicator name Number of GPUs deployed for Project B / Target value 10,000 B300 units, to be expanded in stages to 30,000 units / Timing 2026 project, Australia, contracted project, Indicator name Number of GPUs deployed for Project C / Target value 5,000 B200 units / Timing 2026 project, Thailand, prospective project, Indicator name Number of GPUs deployed for Project D / Target value 70,000 GB200/300 units (scale of 1,000 racks) / Timing 2026 project, prospective project, Indicator name Number of GPUs deployed for Project E / Target value 100,000 GB200/300 units (scale of 1,500 racks) / Timing 2026 project, prospective project, Indicator name Number of GPUs deployed for Project F / Target value 30,000 B300 units / Timing 2026 project, location under discussion, prospective project, Indicator name Number of GPUs deployed for Projects G and H / Target value 5,000 B200 units each / Timing 2026 projects, Japan, prospective projects, Indicator name Number of GPUs deployed for Project I / Target value 70,000 B300 units / Timing 2026 project, UAE, prospective project |
| Plan assumptions | The AI infrastructure market is forecast to exceed US$400 billion by 2033, with a CAGR of 27.53% from 2024 to 2033., The AI server market is forecast to grow from 2 million units in 2024 to 3.2 million units in 2027, with a CAGR of 24.7% from 2024 to 2027., The forecast for the fiscal year ending March 2027 includes the first data center projects in Japan, Australia and Thailand, and is based on revenue for the 8-month period from August 2026 to March 2027., The earnings forecast does not include revenue from M&A transactions or other AI infrastructure business pipeline projects. |
| Key initiatives | Develop TAIZA as a new AI cloud stack, with the aim of enhancing its functionality and expanding its offering., Build a strong partnership network spanning the upstream to downstream stages of the production process and supply chain., Expand new, state-of-the-art AI data center locations globally, with a focus on the Asia-Pacific region and Europe., Form business partnerships with Taiwanese suppliers to secure GPU servers even in a supply-constrained market., Globally launch OHMAI, an AI sidekick device., Going forward, promote large-scale deployments of B300 and GB200/300 in addition to B200, with the aim of building AI superclusters. |
| Size of the Target Market | Market AI infrastructure market / Scale More than US$400 billion in 2033 / Growth rate CAGR of 27.53% from 2024 to 2033 / Source Precedence Research『Artificial Intelligence (AI) Infrastructure Market Size, Share, and Trends 2024 to 2033』, Market AI server market / Scale 2 million units in 2024 and 3.2 million units in 2027 / Growth rate CAGR of 24.7% from 2024 to 2027 / Source Market Intelligence & Consulting Institute『Taiwan Accounts for 90% Global AI Server Shipments with Two Major Growth Drivers Anticipated in 2024』 |
| Risks identified | Business investment (high), Foreign exchange risk (medium), Geopolitical risk (medium), Securing human resources (medium) |
| Publication date | 30 June 2026 |
Items this document does not state (12)
Plan periodOperating profit margin targetROE targetROIC targetPayout ratio / DOE policyTreasury share acquisition policyCost of capitalSelf-assessment of PBR and share priceSegment targetResults under the previous planReason for revision or withdrawalDate of board resolution
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Services in the AI infrastructure business will enter full-scale operation from the previous fiscal year, and revenue from the first data center projects in Japan, Australia and Thailand will be realized.
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