Contents of this document
- Decrease in revenue
- Decrease in cost of sales120 million yen
- Decrease in SG&A expenses365 million yen
- Transition from the online assistant CASTER BIZ series to the AI assistant CASTER NEO series
- Launch of CASTER NEO Accounting
- Launch of CASTER NEO EC support
- Launch of CASTER NEO Assistant
- Transition to a hybrid BPaaS model combining AI and human services
- Strengthening collaboration with sales agents, referral partners and alliance partners
- Development of the AI reskilling training business
- Number of active client companies964 companiesYear on year against the same period last yearDown from 975 companies at the end of the same quarter of the previous fiscal year
- ARPU (average revenue per customer)¥28.9 10,000Year on year against the same period last yearDown from ¥290,000 in the same quarter of the previous fiscal year
- Theoretical productivity through AI assistants1.7 times
- Number of active client companies964 companies
- ARPU (average revenue per customer)¥28.9 10,000
- BPaaS businessNet Sales2,566 million yen (YoY -1.2%)Operating profit630 million yen (YoY +38.4%)
- HR BusinessNet Sales523 million yen (YoY -9.6%)Operating profit59 million yen (YoY -26.9%)
- AI Tech businessNet Sales269 million yen (YoY -0.8%)Operating profit37 million yen
| Item | Details |
|---|---|
| Document type | Earnings presentation |
| Fiscal Period Covered | FY ending August 2026, third quarter |
| Net Sales | 3,359 million yen (YoY -2.6%) |
| Operating profit | 35 million yen |
| Gross Profit Margin | Rate 38.7% / Year-on-year change (points) Improved by 2.0 percentage points (from 36.7% to 38.7%) |
| Operating profit margin | Rate 1.0% / Year-on-year change (points) Improved by 11.5 percentage points (from negative 10.5% to 1.0%) |
| Selling, general and administrative expenses | 1,263 million yen |
| Results for the three months of the current quarter | Net Sales 1,109 million yen / Operating profit 10 million yen / Gross profit 425 million yen / Selling, general and administrative expenses 414 million yen |
| Full-year earnings forecast | Net Sales 4,416 million yen / Operating profit 10 million yen / Ordinary income 1 million yen / Profit attributable to owners of the parent -26 million yen |
| Progress against full-year forecast | 76.1% (consolidated revenue) |
| Segment results | Segment BPaaS business / Net Sales 2,566 million yen (YoY -1.2%) / Operating profit 630 million yen (YoY +38.4%), Segment HR Business / Net Sales 523 million yen (YoY -9.6%) / Operating profit 59 million yen (YoY -26.9%), Segment AI Tech business / Net Sales 269 million yen (YoY -0.8%) / Operating profit 37 million yen |
| Breakdown of Factors Affecting the Change | Factors Decrease in revenue / Amount Not disclosed, Factors Decrease in cost of sales / Amount 120 million yen, Factors Decrease in SG&A expenses / Amount 365 million yen |
| Key KPIs | Indicator name Number of active client companies / Value 964 companies / Year on year against the same period last year Down from 975 companies at the end of the same quarter of the previous fiscal year, Indicator name ARPU (average revenue per customer) / Value ¥28.9 10,000 / Year on year against the same period last year Down from ¥290,000 in the same quarter of the previous fiscal year, Indicator name Theoretical productivity through AI assistants / Value 1.7 times / Year on year against the same period last year Not disclosed |
| Unit price and quantity metrics | Indicator name Number of active client companies / Value 964 companies, Indicator name ARPU (average revenue per customer) / Value ¥28.9 10,000 |
| Number of stores and locations | Number at period-end 4 Location / Number of store openings and closures during the period Not disclosed |
| Number of employees | Number of Employees 777 people / Reference date End of May 2026 / Changes during the period and hiring plan Not disclosed |
| Risk amount incorporated into the outlook | Amount 94 million yen / Details Potential receipt of subsidies associated with AI reskilling training for all employees. Not included in the earnings forecasts because the timing of the grant decision and receipt has not been determined. |
| Medium-term management plan targets | Previous plan The medium-term management plan, whose final fiscal year was the fiscal year ending August 2028, was withdrawn / New targets Not disclosed / 2030 target AI-related businesses to account for at least 50% of company-wide revenue |
| Financial targets | Equity ratio Value 34.1 % / Category Actual (at the end of the third quarter of the fiscal year ending August 2026) |
| Market Size / Share | Market size and share: not disclosed. For reference, the materials include a forecast that the working-age population will decline by approximately 940,000 people by 2040. |
| New initiatives | Transition from the online assistant CASTER BIZ series to the AI assistant CASTER NEO series, Launch of CASTER NEO Accounting, Launch of CASTER NEO EC support, Launch of CASTER NEO Assistant, Transition to a hybrid BPaaS model combining AI and human services, Strengthening collaboration with sales agents, referral partners and alliance partners, Development of the AI reskilling training business |
Items this document does not state (10)
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 increase in the number of active client companies in the BPaaS business was delayed, ARPU declined, and full-scale revenue generation from AI training in the AI Tech business was pushed back to the following fiscal year and beyond. In addition, the transition to the CASTER NEO business model resulted in significantly different assumptions and growth processes from those underlying the previous medium-term management plan, making it difficult to maintain consistency.