Contents of this document
- Launch of support services for the introduction of physical AI and robots
- Launch of a website for business-specific AI agent services
- Launch of the Neuron ES desknet's NEO integration option and business partnership with Neo Japan
- Concentration of R&D resources in the AI agent and physical AI fields
- Software revenue¥945 millionYear on year against the same period last year+14.8%
- Software revenue ratio66 %
- Stock licenses487 bottlesYear on year against the same period last yearFlat
- User companies372 companiesYear on year against the same period last year9 more than at the end of the previous fiscal year
- Monthly churn rate (4Q)1.2 %
- EBITDA¥469 millionYear on year against the same period last year+22.1%
- EBITDA margin32.8 %Year on year against the same period last year+2.2pt
- New purchased licenses in 4Q37 bottles
- Net increase in stock licenses in 4Q7 bottles
- Average purchase priceYoY +49.7
- Companies purchasing multiple licenses72 companies
- Average number of licenses purchased by companies purchasing multiple licenses4 licenses/company
| Item | Details |
|---|---|
| Document type | Earnings presentation |
| Fiscal Period Covered | Fiscal year ending July 2026 |
| Net Sales | ¥1,433 million (YoY +14.1%) |
| Operating profit | ¥250 million (YoY +50.9%) |
| Ordinary income | ¥255 million (YoY +53.0%) |
| Net income | ¥192 million (YoY +44.2%) |
| Operating profit margin | 17.5 % |
| Results for the three months of the current quarter | Operating profit ¥118 million / Operating profit margin 26.7 % |
| Full-year earnings forecast | Net Sales ¥1,707 million / Operating profit ¥250 million / Ordinary income ¥255 million / Net income for the current fiscal year ¥173 million |
| Self-assessment against the plan | Revenue fell short of plan, while profit at each stage exceeded plan |
| Key KPIs | Indicator name Software revenue / Value ¥945 million / Year on year against the same period last year ¥14.8 million, Indicator name Software revenue ratio / Value 66 % / Year on year against the same period last year Not disclosed, Indicator name Stock licenses / Value 487 bottles / Year on year against the same period last year Flat, Indicator name User companies / Value 372 companies / Year on year against the same period last year 9 more than at the end of the previous fiscal year, Indicator name Monthly churn rate (4Q) / Value 1.2 % / Year on year against the same period last year Not disclosed, Indicator name EBITDA / Value ¥469 million / Year on year against the same period last year ¥22.1 million, Indicator name EBITDA margin / Value 32.8 % / Year on year against the same period last year +2.2pt |
| Unit price and quantity metrics | Indicator name New purchased licenses in 4Q / Value 37 bottles, Indicator name Net increase in stock licenses in 4Q / Value 7 bottles, Indicator name Average purchase price / Value YoY +49.7, Indicator name Companies purchasing multiple licenses / Value 72 companies, Indicator name Average number of licenses purchased by companies purchasing multiple licenses / Value 4 licenses/company |
| Number of employees | Number of Employees 70 People / Change during the period 3 fewer people than at the end of the previous fiscal year / Hiring plan Promote the recruitment and retention of specialized talent |
| Medium-term management plan targets | 3-Year Revenue CAGR 20%+ (estimated 19.4%) / Period Covered FY25-FY27 |
| New initiatives | Launch of support services for the introduction of physical AI and robots, Launch of a website for business-specific AI agent services, Launch of the Neuron ES desknet's NEO integration option and business partnership with Neo Japan, Concentration of R&D resources in the AI agent and physical AI fields |
Items this document does not state (16)
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.Large purchased licenses drove revenue, and the average purchase price of purchased licenses increased. On the profit side, costs were reduced due to factors including the postponement of an office relocation and a decrease in headcount, while research and development investment in physical AI and AI agents, communication expenses associated with the expanded use of generative AI, and travel expenses associated with expanded development and implementation activities at customer sites increased.