Contents of this document
- Volume-based fee revenue from financial infrastructure and the Data AI businessDetailsMain drivers of the increase in revenue
- Increase in volume-based fee revenueDetailsFactors behind the increase in revenue sharing
- Promoting AI adoptionDetailsFactors behind the increase in communications expenses
- Recognition of Deferred Tax AssetsDetailsFactors behind the recognition of income tax adjustments
- Deploying expertise gained from addressing frontier AI ahead of the curve as consulting and solution services for financial institutions
- Development support for the corporate sales support system “TNP Navi” for 東京海上日動パートナーズ
- Joint development with 住友生命 and アイリックコーポレーション of an AI sales-support solution for multi-company insurance agencies
- Support for Mizuho Securities' data infrastructure migration and the development of an AI-driven development environment
- Provision of Crest's receivables management module to freee Card Unlimited
- Crest's support for individual-item installment financing and its implementation in “subsclife by TOKYOROOMS”
- Provision of real estate registry data via MCP with TRUSTART
- Implementation of DataLens store development at Pronto Corporation and Komehyo
- EBITDA¥786 millionYear on year against the same period last year+52%
- EBITDA margin13 %Year on year against the same period last yearIncreased from 12% in the year-earlier period
- Number of financial infrastructure partners58 companiesYear on year against the same period last year+8 companies from the end of the previous fiscal year
- Volume-based fee revenue from financial infrastructure¥1,831 millionYear on year against the same period last year+77%
- Recurring revenue¥1,934 millionYear on year against the same period last year+29%
- Financial InfrastructureNet Sales¥3,751 millionYear-on-Year Change in Revenue (%)31
- Data AINet Sales¥1,732 millionYear-on-Year Change in Revenue (%)73
- Fintech ShiftNet Sales¥607 millionYear-on-Year Change in Revenue (%)3
- Financial InfrastructureOperating profit¥12 millionYear-on-year difference-315
| Item | Details |
|---|---|
| Document type | Earnings presentation materials |
| Fiscal Period Covered | FY2026 second quarter |
| Net Sales | ¥6,092 million (YoY +36.0%) |
| Operating profit | ¥530 million (YoY +46.0%) |
| Ordinary income | ¥506 million (YoY +45.0%) |
| Net income | ¥770 million (YoY +55.0%) |
| Gross Profit Margin | Rate 69 / Year-on-year change (points) +4 points |
| Operating profit margin | Rate 9 / Year-on-year change (points) +1 percentage point |
| Selling, general and administrative expenses | ¥3,407 million |
| Results for the three months of the current quarter | Revenue: ¥6,092 million; gross profit: ¥4,193 million; EBITDA: ¥786 million; operating income: ¥530 million; ordinary income: ¥506 million; net income attributable to owners of the parent: ¥770 million. All figures are for the second quarter alone. |
| Full-year earnings forecast | Net Sales ¥15,500 million / EBITDA ¥3,880 million / Profit attributable to owners of the parent ¥2,320 million |
| Progress against full-year forecast | Revenue: 39% (vs. plan). Progress rates for other line items: Not disclosed. |
| Self-assessment against the plan | Generally tracking at roughly the same level as in recent years |
| Segment results | Segment Financial Infrastructure / Net Sales ¥3,751 million / Year-on-Year Change in Revenue (%) 31, Segment Data AI / Net Sales ¥1,732 million / Year-on-Year Change in Revenue (%) 73, Segment Fintech Shift / Net Sales ¥607 million / Year-on-Year Change in Revenue (%) 3, Segment Financial Infrastructure / Operating profit ¥12 million / Year-on-year difference -315 |
| Breakdown of Factors Affecting the Change | Factors Volume-based fee revenue from financial infrastructure and the Data AI business / Details Main drivers of the increase in revenue, Factors Increase in volume-based fee revenue / Details Factors behind the increase in revenue sharing, Factors Promoting AI adoption / Details Factors behind the increase in communications expenses, Factors Recognition of Deferred Tax Assets / Details Factors behind the recognition of income tax adjustments |
| Key KPIs | Indicator name EBITDA / Value ¥786 million / Year on year against the same period last year +52%, Indicator name EBITDA margin / Value 13 % / Year on year against the same period last year Increased from 12% in the year-earlier period, Indicator name Number of financial infrastructure partners / Value 58 companies / Year on year against the same period last year +8 companies from the end of the previous fiscal year, Indicator name Volume-based fee revenue from financial infrastructure / Value ¥1,831 million / Year on year against the same period last year +77%, Indicator name Recurring revenue / Value ¥1,934 million / Year on year against the same period last year +29% |
| Medium-term management plan targets | New medium-term targets of ¥30 billion in revenue and ¥10 billion in EBITDA. Target fiscal year: Not disclosed. |
| Market Size / Share | The disclosure states that the market size that can be served will expand through Crest's support for individual-item installment financing, but the specific market size and share are Not disclosed. |
| New initiatives | Deploying expertise gained from addressing frontier AI ahead of the curve as consulting and solution services for financial institutions, Development support for the corporate sales support system “TNP Navi” for 東京海上日動パートナーズ, Joint development with 住友生命 and アイリックコーポレーション of an AI sales-support solution for multi-company insurance agencies, Support for Mizuho Securities' data infrastructure migration and the development of an AI-driven development environment, Provision of Crest's receivables management module to freee Card Unlimited, Crest's support for individual-item installment financing and its implementation in “subsclife by TOKYOROOMS”, Provision of real estate registry data via MCP with TRUSTART, Implementation of DataLens store development at Pronto Corporation and Komehyo |
Items this document does not state (12)
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.Volume-based fee revenue from financial infrastructure and the Data AI business drove revenue growth. EBITDA benefited from progress in flow-based revenue, primarily in the Data AI segment, while net income attributable to owners of the parent was affected by the income tax adjustment arising from the recognition of deferred tax assets.