Contents of this document
- Strengthening the AI solutions business and establishing the FDE model
- Reorganizing the reporting segments into the DI business and AI business
- Shift of existing businesses toward AI
- Expanding the security business
- Developing AI platforms and new services using NewtonX
- Expanding Midori Cloud technology into other fields
- Recruiting and developing AI talent and reskilling existing personnel
- Phased increase in growth investment funded by approximately ¥2.7 billion in operating cash flow
- Change to a shareholder return policy based on the payout ratio
- Number of engineers (in-house and business partners)ValueFiscal year ending August 2026 3,295 people / Fiscal year ending August 2027 3,513 people / Fiscal year ending August 2029 3,956 people
- Number of security engineers (three-year target)300 people
- Number of new business partners acquiredAt least 100 companies annually
- Domestic demand for generative AI through 2030Approximately ¥1.8 trillion
- Compound annual growth rate of domestic generative AI demand47.2%
- Projected shortage of AI implementation personnel in 2030120,000 passengers
- Corporate adoption rate of generative AI (FY2025)44.0%
- Companies with generative AI integrated into their business processes (FY2025)11.9%
| Item | Details |
|---|---|
| Document type | Medium-Term Management Plan Presentation |
| Fiscal Period Covered | FY ending August 2027–FY ending August 2029 |
| Net Sales | value Fiscal year ending August 2026 ¥25.5 billion / Fiscal year ending August 2027 ¥28.3 billion / Fiscal year ending August 2029 ¥33 billion / yoy_pct Not disclosed |
| Operating profit | value Fiscal year ending August 2026 ¥2.86 billion / Fiscal year ending August 2027 ¥3.01 billion / Fiscal year ending August 2029 ¥4.50 billion / yoy_pct Not disclosed |
| Operating profit margin | Fiscal year ending August 2026 11.2% / Fiscal year ending August 2027 10.6% / Fiscal year ending August 2029 13.6% |
| Key KPIs | Indicator name Number of engineers (in-house and business partners) / Value Fiscal year ending August 2026 3,295 people / Fiscal year ending August 2027 3,513 people / Fiscal year ending August 2029 3,956 people / Year on year against the same period last year Not disclosed, Indicator name Number of security engineers (three-year target) / Value 300 people / Year on year against the same period last year Not disclosed, Indicator name Number of new business partners acquired / Value At least 100 companies annually / Year on year against the same period last year Not disclosed |
| Number of employees | Number of Employees 3,127 consolidated employees (as of 31 August 2026) / Changes during the period and hiring plan Not disclosed |
| Medium-term management plan targets | Target fiscal year Fiscal year ending August 2029 / Net Sales ¥33 billion / Operating profit ¥4.50 billion / Operating profit margin 13.6% / Number of engineers 3,956 people / Total payout ratio At least 33% / Comparison with actual results FY ended August 2026 actuals: revenue of ¥25.5 billion, operating profit of ¥2.86 billion, an operating margin of 11.2%, 3,295 engineers, and a total payout ratio of 36.5% |
| Financial targets | ROE 19.5% actual for the fiscal year ended August 2026 / ROIC Not disclosed / Debt-to-equity ratio Not disclosed / Equity ratio Not disclosed |
| Payout ratio | Plan for the fiscal year ending August 2027 Targeting a consolidated payout ratio of 15% for the fiscal year ending August 2027 / Plan for the fiscal year ending August 2029 Targeting a consolidated payout ratio of 15% for the fiscal year ending August 2027 / Total payout ratio Targeting at least 33% |
| Acquisition of treasury shares | Policy Implement flexibly after taking into account demand for growth investment, available funding capacity, and the share price level / Repurchase limit: amount, number of shares and period Not disclosed |
| Market Size / Share | Indicator Domestic demand for generative AI through 2030 / Value Approximately ¥1.8 trillion, Indicator Compound annual growth rate of domestic generative AI demand / Value 47.2%, Indicator Projected shortage of AI implementation personnel in 2030 / Value 120,000 passengers, Indicator Corporate adoption rate of generative AI (FY2025) / Value 44.0%, Indicator Companies with generative AI integrated into their business processes (FY2025) / Value 11.9% |
| New initiatives | Strengthening the AI solutions business and establishing the FDE model, Reorganizing the reporting segments into the DI business and AI business, Shift of existing businesses toward AI, Expanding the security business, Developing AI platforms and new services using NewtonX, Expanding Midori Cloud technology into other fields, Recruiting and developing AI talent and reskilling existing personnel, Phased increase in growth investment funded by approximately ¥2.7 billion in operating cash flow, Change to a shareholder return policy based on the payout ratio |
Items this document does not state (18)
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.The company aims to achieve sustainable growth and enhance corporate value by viewing advances in AI technology and expanding demand for AI as growth opportunities, transforming its business into a high-margin model through the use of AI, and entering new business areas.