Contents of this document
- Derivative Valuation Losses¥-21,226 thousand
- Equity-method investment loss¥-55,243 thousand
- Transition from the AI Solutions business to the AI Platform business
- Reorganization into three segments: Enterprise AI Solutions, AI Workflow Engineering, and DATA & AI Engine
- Announcement of SyncLect Data Intelligence
- Launch of an improvement-cycle model supporting the conversion of conventional SaaS into AI agents
- Strengthening of context engineering
- Number of projects (Enterprise AI Solutions)193 Engagements
- Number of projects (AI Workflow Engineering)40 Engagements
- Revenue per project (Enterprise AI Solutions)5,742 Thousand yen/project
- Revenue per project (AI Workflow Engineering)6,163 Thousand yen/project
- Number of employees401 peopleYear on year against the same period last year+148 people year on year
- Revenue per employee¥1,118 thousand
- Customer Base147 companies
- Revenue per customer¥8,588 thousand
- Revenue per project (Enterprise AI Solutions)5,742 Thousand yen/project
- Number of projects (Enterprise AI Solutions)193 Engagements
- Revenue per project (AI Workflow Engineering)6,163 Thousand yen/project
- Number of projects (AI Workflow Engineering)40 Engagements
- Revenue per customer¥8,588 thousand
- Customer Base147 companies
- Enterprise AI SolutionsNet Sales¥1,108,299 thousand (YoY +156.3%)Operating profit¥116,731 thousand
- AI Workflow EngineeringNet Sales¥246,516 thousand (YoY +255.8%)Operating profit¥17,778 thousand
- DATA & AI Engine
- Intersegment TransactionsNet Sales¥-92,415 thousandOperating profit¥783 thousand
| Item | Details |
|---|---|
| Document type | Supplementary materials to the earnings report |
| Fiscal Period Covered | First quarter of the fiscal year ending December 2026 |
| Net Sales | ¥1,262,400 thousand (YoY +170.8%) |
| Operating profit | ¥135,293 thousand |
| Ordinary income | ¥52,075 thousand |
| Net income | ¥12,449 thousand |
| Gross Profit Margin | Rate 44.9 / Year-on-year change (points) 4.6 |
| Operating profit margin | Rate 10.7 / Year-on-year change (points) Not disclosed |
| Selling, general and administrative expenses | ¥431,632 thousand |
| Results for the three months of the current quarter | Net Sales ¥1,262,400 thousand / Operating profit ¥135,293 thousand / Ordinary income ¥52,075 thousand / Net income ¥12,449 thousand |
| Full-year earnings forecast | Net Sales ¥8,555,000 thousand / Operating profit ¥650,332 thousand / Ordinary income Not disclosed / Net income Not disclosed |
| Progress against full-year forecast | Net Sales 14.8 / Operating profit 18 / Ordinary income 8.4 / Net income 3.2 / Enterprise AI Solutions revenue 20.1 / AI Workflow Engineering revenue 9.3 |
| Segment results | Segment Enterprise AI Solutions / Net Sales ¥1,108,299 thousand (YoY +156.3%) / Operating profit ¥116,731 thousand, Segment AI Workflow Engineering / Net Sales ¥246,516 thousand (YoY +255.8%) / Operating profit ¥17,778 thousand, Segment DATA & AI Engine / Net Sales Not disclosed / Operating profit Not disclosed, Segment Intersegment Transactions / Net Sales ¥-92,415 thousand / Operating profit ¥783 thousand |
| Breakdown of Factors Affecting the Change | Factors Derivative Valuation Losses / Amount ¥-21,226 thousand, Factors Equity-method investment loss / Amount ¥-55,243 thousand |
| Key KPIs | Indicator name Number of projects (Enterprise AI Solutions) / Value 193 Engagements / Year on year against the same period last year Not disclosed, Indicator name Number of projects (AI Workflow Engineering) / Value 40 Engagements / Year on year against the same period last year Not disclosed, Indicator name Revenue per project (Enterprise AI Solutions) / Value 5,742 Thousand yen/project / Year on year against the same period last year Not disclosed, Indicator name Revenue per project (AI Workflow Engineering) / Value 6,163 Thousand yen/project / Year on year against the same period last year Not disclosed, Indicator name Number of employees / Value 401 people / Year on year against the same period last year +148 people year on year, Indicator name Revenue per employee / Value ¥1,118 thousand / Year on year against the same period last year Not disclosed, Indicator name Customer Base / Value 147 companies / Year on year against the same period last year Not disclosed, Indicator name Revenue per customer / Value ¥8,588 thousand / Year on year against the same period last year Not disclosed |
| Unit price and quantity metrics | Indicator name Revenue per project (Enterprise AI Solutions) / Value 5,742 Thousand yen/project, Indicator name Number of projects (Enterprise AI Solutions) / Value 193 Engagements, Indicator name Revenue per project (AI Workflow Engineering) / Value 6,163 Thousand yen/project, Indicator name Number of projects (AI Workflow Engineering) / Value 40 Engagements, Indicator name Revenue per customer / Value ¥8,588 thousand, Indicator name Customer Base / Value 147 companies |
| Number of employees | Number of Employees 401 people / Change during the period Net increase of 12 people from the previous quarter and 148 people from the same quarter of the previous year / Hiring plan Net increase of 100 people |
| New initiatives | Transition from the AI Solutions business to the AI Platform business, Reorganization into three segments: Enterprise AI Solutions, AI Workflow Engineering, and DATA & AI Engine, Announcement of SyncLect Data Intelligence, Launch of an improvement-cycle model supporting the conversion of conventional SaaS into AI agents, Strengthening of context engineering |
Items this document does not state (13)
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.Revenue increased as the Company captured demand for AI agents, raised average revenue per sale by deepening its loyal-client strategy, expanded adoption of AI-driven development, and undertook more large-scale projects. For operating profit, the Company concentrated resources by specializing in industries such as financial services and manufacturing.