Worth reading
62In focus
0–100. This measures how worthwhile something is to read, not how good or bad the company is.Direction
Improvement
Direction inferred from the company’s description.Scale
3500
¥10,000Wording
Avoiding a definitive answer
How definitive the wording is.Contents of this document
Earnings briefing transcriptSecond quarter of the fiscal year ending December 202611 items taken from the company’s own explanation
Financial Results Figures (The key points of this material are explained below)
Net Sales19.91 Hundred millions of yen+24.2%
Operating profit9.46 Hundred millions of yen+20.1%
Gross Profit Margin76.1 %
Operating profit margin47.5 %
Results for the three months of the current quarter
Cloud services revenue
8.86 Hundred millions of yen+20.4%
BPaaS revenue
1.47 Hundred millions of yen+36.8%
Full-year earnings forecast
Net Sales
42.77 Hundred millions of yen
Operating profit
19.27 Hundred millions of yen
Progress against full-year forecast 通期の予想に対して、いまどこまで進んだかの割合です。
Net Sales46.6 %
Operating profit49.1 %
What the company explained in this material
Self-assessment against the planThe company's self-assessment against its own plan.
Progress is ahead of the earnings forecast, and the company is on track to achieve its full-year profit plan after reaching the midpoint of the fiscal yearKey points of the Q&AKey questions raised by investors at the briefing and the company's answers
- The price of the AI home-visit nursing scoring service will be considered with reference to consulting fees of approximately ¥30,000–¥50,000 per month. The expected number of users has not been determined.
- Revenue from AI home-visit nursing scoring is not included in the current medium-term management plan and is positioned as an upside factor.
- The company basically aims for NRR of 110% or higher.
- The company aims to have approximately 400 contracts for AI visit scheduling and routing by the end of the fiscal year.
- Price revisions, including the services subject to revision and the timing, will be considered by year-end.
- Growth investment will focus on AI development, personnel, and the customer success and sales organizations.
Assumptions Underlying the Business OutlookThe assumptions used by the company in preparing its forecast.
Second-half assumptionsAssumes revenue from AI visit scheduling and routing, as well as the impact of upselling the new service
Expected year-end contracts for AI visit scheduling and routing400 Approximately contracts
New initiatives
- Start of billing for AI visit scheduling and routing
- Development, advance rollout and planned monetization of AI home-visit nursing scoring
- Start of disclosure of NRR as a key KPI
- Upselling and growth support by customer category
- Exhibition at the Nikkei–Tokyo Stock Exchange IR Fair 2026
Key KPIsA metric the company considers important as a management benchmark.
- NRR108 %
- Number of stations using AI services1,600 Stations+
- Number of healthcare professionals using AI services23,670 people
- Number of contracted stations3,736 EngagementsYear on year against the same period last year+13.7%
- Net additions in the second quarter103 Engagements
- New contracts171 Engagements
- Number of cancellations64 EngagementsYear on year against the same period last year59 contracts in the year-earlier period
- Account churn rate1.76 %Year on year against the same period last year-0.1%
- Revenue churn rate0.2 %
- Share18.6 %
Unit price and quantity metricsThese figures show sales broken down by price and volume.
Average monthly revenue per customer
¥9.09 10,000
Year on year against the same period last year+5.2%
Factors driving higher customer pricingAdoption of AI services and BPaaS
Visit volume growth rate
Stations using AI services116.7 %
Stations not using AI services111 %
Change5.7 %
Segment results
Cloud Services
Net Sales
8.86 Hundred millions of yen
Year on year against the same period last year+20.4%
BPaaS
Net Sales
1.47 Hundred millions of yen
Year on year against the same period last year+36.8%
Gross Profit Margin
65.2 %
Medium-term management plan targets
2028 revenueOver ¥6 billion
2040 market share50%
Market Size / Share
Number of home-visit nursing stations nationwideMore than 20,000 home-visit nursing stations nationwide
Company share18.6 %
Number of employees
Headcount at fiscal year-end118 people
Change during the periodUnchanged from the end of the first quarter
Hiring planDeploying personnel to areas of need and strengthening recruitment
Acquisition of treasury shares
The amount, number of shares and period of repurchases were Not disclosed. To be considered in the future as a flexible measure| Item | Details |
|---|---|
| Document type | Earnings briefing transcript |
| Fiscal Period Covered | Second quarter of the fiscal year ending December 2026 |
| Net Sales | 19.91 Hundred millions of yen (YoY +24.2%) |
| Operating profit | 9.46 Hundred millions of yen (YoY +20.1%) |
| Gross Profit Margin | 76.1 % |
| Operating profit margin | 47.5 % |
| Results for the three months of the current quarter | Cloud services revenue 8.86 Hundred millions of yen (YoY +20.4%) / BPaaS revenue 1.47 Hundred millions of yen (YoY +36.8%) |
| Full-year earnings forecast | Net Sales 42.77 Hundred millions of yen / Operating profit 19.27 Hundred millions of yen |
| Progress against full-year forecast | Net Sales 46.6 % / Operating profit 49.1 % |
| Self-assessment against the plan | Progress is ahead of the earnings forecast, and the company is on track to achieve its full-year profit plan after reaching the midpoint of the fiscal year |
| Segment results | Cloud Services Net Sales 8.86 Hundred millions of yen / Year on year against the same period last year 20.4 / BPaaS Net Sales 1.47 Hundred millions of yen / Year on year against the same period last year 36.8 / Gross Profit Margin 65.2 % |
| Key KPIs | Indicator name NRR / Value 108 % / Year on year against the same period last year Not disclosed, Indicator name Number of stations using AI services / Value 1,600 Stations+ / Year on year against the same period last year Not disclosed, Indicator name Number of healthcare professionals using AI services / Value 23,670 people / Year on year against the same period last year Not disclosed, Indicator name Number of contracted stations / Value 3,736 Engagements / Year on year against the same period last year 13.7 Engagements, Indicator name Net additions in the second quarter / Value 103 Engagements / Year on year against the same period last year Not disclosed, Indicator name New contracts / Value 171 Engagements / Year on year against the same period last year Not disclosed, Indicator name Number of cancellations / Value 64 Engagements / Year on year against the same period last year 59 contracts in the year-earlier period, Indicator name Account churn rate / Value 1.76 % / Year on year against the same period last year -0.09 %, Indicator name Revenue churn rate / Value 0.2 % / Year on year against the same period last year Not disclosed, Indicator name Share / Value 18.6 % / Year on year against the same period last year Not disclosed |
| Unit price and quantity metrics | Average monthly revenue per customer ¥9.09 10,000 / Factors driving higher customer pricing Adoption of AI services and BPaaS / Visit volume growth rate Stations using AI services 116.7 % / Stations not using AI services 111 % / Change 5.7 % |
| Number of employees | Headcount at fiscal year-end 118 people / Change during the period Unchanged from the end of the first quarter / Hiring plan Deploying personnel to areas of need and strengthening recruitment |
| Assumptions Underlying the Business Outlook | Second-half assumptions Assumes revenue from AI visit scheduling and routing, as well as the impact of upselling the new service / Expected year-end contracts for AI visit scheduling and routing 400 Approximately contracts |
| Medium-term management plan targets | 2028 revenue Over ¥6 billion / 2040 market share 50% / Comparison with actual results Not disclosed |
| Acquisition of treasury shares | The amount, number of shares and period of repurchases were Not disclosed. To be considered in the future as a flexible measure |
| Market Size / Share | Number of home-visit nursing stations nationwide More than 20,000 home-visit nursing stations nationwide / Company share 18.6 % |
| Key points of the Q&A | The price of the AI home-visit nursing scoring service will be considered with reference to consulting fees of approximately ¥30,000–¥50,000 per month. The expected number of users has not been determined., Revenue from AI home-visit nursing scoring is not included in the current medium-term management plan and is positioned as an upside factor., The company basically aims for NRR of 110% or higher., The company aims to have approximately 400 contracts for AI visit scheduling and routing by the end of the fiscal year., Price revisions, including the services subject to revision and the timing, will be considered by year-end., Growth investment will focus on AI development, personnel, and the customer success and sales organizations. |
| New initiatives | Start of billing for AI visit scheduling and routing, Development, advance rollout and planned monetization of AI home-visit nursing scoring, Start of disclosure of NRR as a key KPI, Upselling and growth support by customer category, Exhibition at the Nikkei–Tokyo Stock Exchange IR Fair 2026 |
Items this document does not state (11)
Ordinary incomeNet incomeSelling, general and administrative expensesBreakdown of Factors Affecting the ChangeNumber of stores and locationsRisk amount incorporated into the outlookFinancial targetsAnnual DividendPayout ratioCapital expendituresOrders received and order backlog
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 company released the materials voluntarily to further deepen the understanding of investors and others. The company attributed its performance to winning new contracts, upselling to existing customers, and operations focused on cost-effectiveness, particularly for selling, general and administrative expenses.
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