Contents of this document
- Personnel expenses and hiring-related costs¥166 million
- Sales expenses, mainly for new marketing initiatives¥125 million
- Sales expenses: commissions paid¥-8 million
- General and administrative expenses: outsourcing costs¥-11 million
- General and administrative expenses: temporary staffing costs¥-16 million
- General and administrative expenses: commissions paid¥-10 million
- General and administrative expenses: taxes and dues¥-17 million
- General and administrative expenses: other¥-6 million
- Transition to an AI-driven sales and marketing structure
- New initiative: Planning Path
- Launch of Open Training with AI
- AI-driven human capital development platform consulting
- Launch of LoLLL Build, an AI recruiting support service for regional companies
- Discussions on a capital and business alliance with SAAF Holdings
- Introduction of a Shareholder Benefit Program
- ARR¥3,101 millionYear on year against the same period last year+0.8%
- Net Revenue Churn Rate1.13 %
- ARPA¥118 thousand/monthYear on year against the same period last year+8.7%
- Number of contracted companies2,257 companiesYear on year against the same period last year-7.9%
- Third-quarter target achievement rate for companies using Planning Path154 %
- Participant satisfaction with Open Training with AI96.7 %
- ARPA¥118 thousand/monthYear on year against the same period last year+8.7%
- Number of contracted companies2,257 companiesYear on year against the same period last year-7.9%
- Corporate e-learning market1,293 Hundreds of millions of yen
- Corporate training services market6,130 Hundreds of millions of yen
- Human resources business market + HR technology marketOver ¥10 trillion
- Cumulative number of local governments that have adopted Schoo for Business90 Organization
| Item | Details |
|---|---|
| Document type | Presentation materials for financial results |
| Fiscal Period Covered | Q3 FY2026 |
| Net Sales | ¥2,583 million (YoY +3.6%) |
| Operating profit | ¥15 million (YoY -94.2%) |
| Ordinary income | ¥11 million (YoY -95.4%) |
| Net income | ¥13 million (YoY -90.7%) |
| Gross Profit Margin | 76.1%; year-on-year change: +1.2 percentage points |
| Operating profit margin | 0.6%; year-on-year change: not disclosed |
| Selling, general and administrative expenses | ¥1,948 million |
| Results for the three months of the current quarter | Revenue: ¥834 million (up 1.0% year on year); operating profit: ¥12 million (down 86.2% year on year) |
| Full-year earnings forecast | Net Sales ¥3,908 million / Operating profit ¥266 million / Ordinary income ¥263 million / Net income for the current fiscal year ¥223 million |
| Progress against full-year forecast | Net Sales 66.1% / Cost of sales 67.1% / Gross profit 65.8% / Selling, general and administrative expenses 71.6% / Operating profit 6.0% / Ordinary income 4.2% / Net income for the current fiscal year 6.1% |
| Self-assessment against the plan | Progress is behind the initial plan |
| Breakdown of Factors Affecting the Change | Factors Personnel expenses and hiring-related costs / Amount ¥166 million, Factors Sales expenses, mainly for new marketing initiatives / Amount ¥125 million, Factors Sales expenses: commissions paid / Amount ¥-8 million, Factors General and administrative expenses: outsourcing costs / Amount ¥-11 million, Factors General and administrative expenses: temporary staffing costs / Amount ¥-16 million, Factors General and administrative expenses: commissions paid / Amount ¥-10 million, Factors General and administrative expenses: taxes and dues / Amount ¥-17 million, Factors General and administrative expenses: other / Amount ¥-6 million |
| Key KPIs | Indicator name ARR / Value ¥3,101 million / Year on year against the same period last year +0.8%, Indicator name Net Revenue Churn Rate / Value 1.13 % / Year on year against the same period last year Not disclosed, Indicator name ARPA / Value ¥118 thousand/month / Year on year against the same period last year +8.7%, Indicator name Number of contracted companies / Value 2,257 companies / Year on year against the same period last year -7.9%, Indicator name Third-quarter target achievement rate for companies using Planning Path / Value 154 % / Year on year against the same period last year Not disclosed, Indicator name Participant satisfaction with Open Training with AI / Value 96.7 % / Year on year against the same period last year Not disclosed |
| Unit price and quantity metrics | Indicator name ARPA / Value ¥118 thousand/month / Year on year against the same period last year +8.7%, Indicator name Number of contracted companies / Value 2,257 companies / Year on year against the same period last year -7.9% |
| Market Size / Share | Item Corporate e-learning market / Value 1,293 Hundreds of millions of yen, Item Corporate training services market / Value 6,130 Hundreds of millions of yen, Item Human resources business market + HR technology market / Value Over ¥10 trillion, Item Cumulative number of local governments that have adopted Schoo for Business / Value 90 Organization |
| New initiatives | Transition to an AI-driven sales and marketing structure, New initiative: Planning Path, Launch of Open Training with AI, AI-driven human capital development platform consulting, Launch of LoLLL Build, an AI recruiting support service for regional companies, Discussions on a capital and business alliance with SAAF Holdings, Introduction of a Shareholder Benefit Program |
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.In addition to the accumulation of new customer wins expected in the third quarter falling short of assumptions, the company made strategic upfront investments in hiring, AI-related initiatives, the rollout of HR services for regional markets, and marketing. The company cites lower sales and marketing efficiency, stagnant service utilization, an increase in cancellations among smaller customers, and longer decision-making processes at large enterprises, together with insufficient response capabilities, as structural factors.