Contents of this document
- Revenue growth71 Millions of yen
- Reduction in personnel expenses16 Millions of yen
- Decrease in outsourcing expenses10 Millions of yen
- Reduction in advertising expenses28 Millions of yen
- Other8 Millions of yen
- Launch of the BiBi AI assistant
- Implementation of Big Advance by the National Federation of Credit Cooperatives and participation in Enmusu BA
- Made サンテル社 in Okayama Prefecture a subsidiary and launched a DX consulting service for local small and medium-sized businesses.
- Number of financial institutions using Big Advance72 companies
- Number of Big Advance member companies51,802 companies
- Total users219,107 people
- Average churn rate1.39 %
- Number of financial institutions using all services122 companies
- Thailand's small and medium-sized enterprise market300 10,000 companies
- ASEAN small and medium-sized enterprise market7,000 10,000 companies
| Item | Details |
|---|---|
| Document type | Financial results presentation |
| Fiscal Period Covered | Second quarter of the fiscal year ending March 2027 |
| Net Sales | 938 Millions of yen (YoY +8.3%) |
| Operating profit | 17 Millions of yen |
| Ordinary income | 17 Millions of yen |
| Net income | 11 Millions of yen |
| Gross Profit Margin | 51.8 |
| Operating profit margin | 1.9 |
| Results for the three months of the current quarter | Net Sales 456 Millions of yen (YoY +8.3%) / EBITDA 61 Millions of yen / Operating profit 9 Millions of yen |
| Full-year earnings forecast | Net Sales 2,000 Millions of yen / Gross profit 980 Millions of yen / EBITDA 280 Millions of yen / Operating profit 80 Millions of yen / Ordinary income 82 Millions of yen / Net income 50 Millions of yen |
| Breakdown of Factors Affecting the Change | Factors Revenue growth / Amount 71 Millions of yen, Factors Reduction in personnel expenses / Amount 16 Millions of yen, Factors Decrease in outsourcing expenses / Amount 10 Millions of yen, Factors Reduction in advertising expenses / Amount 28 Millions of yen, Factors Other / Amount 8 Millions of yen |
| Key KPIs | Indicator name Number of financial institutions using Big Advance / Value 72 companies / Year on year against the same period last year Not disclosed, Indicator name Number of Big Advance member companies / Value 51,802 companies / Year on year against the same period last year Not disclosed, Indicator name Total users / Value 219,107 people / Year on year against the same period last year Not disclosed, Indicator name Average churn rate / Value 1.39 % / Year on year against the same period last year Not disclosed, Indicator name Number of financial institutions using all services / Value 122 companies / Year on year against the same period last year Not disclosed |
| Number of employees | Number of Employees 131 people / Record date 30 September 2026 |
| Medium-term management plan targets | Target fiscal year Fiscal year ending March 2030 / Revenue CAGR 20% or higher / Operating profit margin 20% / Target market capitalization 1,500 / Target Market Capitalization Unit Millions of yen |
| Market Size / Share | Item Thailand's small and medium-sized enterprise market / Value 300 10,000 companies, Item ASEAN small and medium-sized enterprise market / Value 7,000 10,000 companies |
| New initiatives | Launch of the BiBi AI assistant, Implementation of Big Advance by the National Federation of Credit Cooperatives and participation in Enmusu BA, Made サンテル社 in Okayama Prefecture a subsidiary and launched a DX consulting service for local small and medium-sized businesses. |
Items this document does not state (15)
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.Steady performance by Big Advance, new implementations of BM Portal, SAF and WebFile/GrpMail, an improved approval rate for the subsidy consulting service, the completion of major investments in BIG ADVANCE GLOBAL, and productivity gains from using generative AI in operations.