Worth reading
64In focus
Scored from 5 of 6 sectionsDirection
Improvement
Direction inferred from the company’s description.Scale
90.3
Year-on-year change in operating profit (%)Wording
Conditional
How definitive the wording is.Contents of this document
Earnings presentationFirst 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 Sales¥1,544 million+23.8%
Operating profit¥535 million+90.3%
Ordinary income¥538 million+90.9%
Net income¥369 million+101.1%
Operating profit margin34.7 %
Selling, general and administrative expenses¥591 million
Results for the three months of the current quarterRevenue: ¥1,544 million; gross profit: ¥1,127 million; selling, general and administrative expenses: ¥591 million; operating profit: ¥535 million; ordinary profit: ¥538 million; net profit: ¥369 million
What the company explained in this material
Self-assessment against the planThe company's self-assessment against its own plan.
Progress in line with planBreakdown of Factors Affecting the ChangeReasons cited by the Company for the change in the figures.
- Increase in gross profit¥170 million
- Personnel expenses¥66 million
- Outsourcing costs¥18 million
- Promotional expenses¥-2 million
- System-related expenses¥-7 million
- Operating expenses¥-4 million
- Other¥11 million
New initiatives
- Building an AI-ready data platform
- Promoting the use of general-purpose LLMs in business divisions
- Developing and deploying dedicated tools using LLMs
- Expanding the use of AI into peripheral operations related to contract administration
- Platform initiatives in the moving industry, including joint procurement, trunk transportation and personnel matching
Key KPIsA metric the company considers important as a management benchmark.
- Subleased units57,987 unitsYear on year against the same period last year+20.6%
- Number of corporate clients4,147 companiesYear on year against the same period last year+8.9%
- Number of major support cases541 ten thousand itemsYear on year against the same period last year+15.6%
- Number of users among real estate companies82,787 people
- Number of users among corporate enterprises18,743 people
- Number of moving companies158 companies
- Number of services used666 Service
- Transaction value for corporate enterprises¥9,611 millionYear on year against the same period last year+21.8%
Unit price and quantity metricsThese figures show sales broken down by price and volume.
- Number of users82,787 peopleServiceFor real estate companies
- Average revenue per user¥9,781ServiceFor real estate companies
- Number of users18,743 peopleServiceFor corporate enterprises
- Average revenue per user¥53,393ServiceFor corporate enterprises
Segment results
- For real estate companiesNet Sales¥706 million (YoY +24.8%)Gross profit¥370 million (YoY +8.0%)
- For corporate enterprisesNet Sales¥734 million (YoY +26.6%)Gross profit¥669 million (YoY +26.3%)
- For moving companiesNet Sales¥102 million (YoY +2.6%)Gross profit¥87 million (YoY +6.5%)
Market Size / Share
- Market SizeApproximately 1,800
- Employee relocation marketApproximately 109
- Market size multiple: general market to employee relocation market17 times
Orders received and order backlog
Potential units: 30,900 units. The value of orders received and the order backlog were Not disclosed.Number of stores and locations
398 locations nationwide (as of the end of March 2026). The number of locations opened and closed during the period was Not disclosed.Number of employees
Number of Employees201 people
Gross profit
¥1,127 million+18.0%
| Item | Details |
|---|---|
| Document type | Earnings presentation |
| Fiscal Period Covered | First quarter of the fiscal year ending December 2026 |
| Net Sales | ¥1,544 million (YoY +23.8%) |
| Operating profit | ¥535 million (YoY +90.3%) |
| Ordinary income | ¥538 million (YoY +90.9%) |
| Net income | ¥369 million (YoY +101.1%) |
| Gross profit | ¥1,127 million (YoY +18.0%) |
| Operating profit margin | 34.7 % |
| Selling, general and administrative expenses | ¥591 million |
| Results for the three months of the current quarter | Revenue: ¥1,544 million; gross profit: ¥1,127 million; selling, general and administrative expenses: ¥591 million; operating profit: ¥535 million; ordinary profit: ¥538 million; net profit: ¥369 million |
| Self-assessment against the plan | Progress in line with plan |
| Segment results | Segment For real estate companies / Net Sales ¥706 million (YoY +24.8%) / Gross profit ¥370 million (YoY +8.0%), Segment For corporate enterprises / Net Sales ¥734 million (YoY +26.6%) / Gross profit ¥669 million (YoY +26.3%), Segment For moving companies / Net Sales ¥102 million (YoY +2.6%) / Gross profit ¥87 million (YoY +6.5%) |
| Breakdown of Factors Affecting the Change | Factors Increase in gross profit / Amount ¥170 million, Factors Personnel expenses / Amount ¥66 million, Factors Outsourcing costs / Amount ¥18 million, Factors Promotional expenses / Amount ¥-2 million, Factors System-related expenses / Amount ¥-7 million, Factors Operating expenses / Amount ¥-4 million, Factors Other / Amount ¥11 million |
| Key KPIs | Indicator name Subleased units / Value 57,987 units / Year on year against the same period last year 20.6 units, Indicator name Number of corporate clients / Value 4,147 companies / Year on year against the same period last year 8.9 companies, Indicator name Number of major support cases / Value 541 ten thousand items / Year on year against the same period last year 15.6 ten thousand items, Indicator name Number of users among real estate companies / Value 82,787 people / Year on year against the same period last year Not disclosed, Indicator name Number of users among corporate enterprises / Value 18,743 people / Year on year against the same period last year Not disclosed, Indicator name Number of moving companies / Value 158 companies / Year on year against the same period last year Not disclosed, Indicator name Number of services used / Value 666 Service / Year on year against the same period last year Not disclosed, Indicator name Transaction value for corporate enterprises / Value ¥9,611 million / Year on year against the same period last year ¥21.8 million |
| Unit price and quantity metrics | Service For real estate companies / Indicator Number of users / Value 82,787 people, Service For real estate companies / Indicator Average revenue per user / Value ¥9,781, Service For corporate enterprises / Indicator Number of users / Value 18,743 people, Service For corporate enterprises / Indicator Average revenue per user / Value ¥53,393 |
| Number of stores and locations | 398 locations nationwide (as of the end of March 2026). The number of locations opened and closed during the period was Not disclosed. |
| Number of employees | Number of Employees 201 people / Change during the period Not disclosed / Hiring plan Not disclosed |
| Orders received and order backlog | Potential units: 30,900 units. The value of orders received and the order backlog were Not disclosed. |
| Market Size / Share | Item Market Size / Value Approximately 1,800, Item Employee relocation market / Value Approximately 109, Item Market size multiple: general market to employee relocation market / Value 17 times |
| New initiatives | Building an AI-ready data platform, Promoting the use of general-purpose LLMs in business divisions, Developing and deploying dedicated tools using LLMs, Expanding the use of AI into peripheral operations related to contract administration, Platform initiatives in the moving industry, including joint procurement, trunk transportation and personnel matching |
Items this document does not state (12)
Gross Profit MarginFull-year earnings forecastProgress against full-year forecastAssumptions Underlying the Business OutlookRisk amount incorporated into the outlookMedium-term management plan targetsFinancial targetsAnnual DividendPayout ratioAcquisition of treasury sharesCapital expendituresKey points of the Q&A
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 higher revenue from growth in the real estate and corporate business segments, the structural reduction in personnel expenses through the use of AI and productivity improvements contributed to the increase in operating profit.
How to read this page
This is not the documentKomori reads the disclosure the company filed and writes this summary. Figures are as stated by the company and are not audited.
Weight is not a verdictIt measures how much this changes what the company had already told the market. It is not a view on the shares.
Corrections happenIf the company reissues this disclosure, the page is rebuilt from the corrected version and the revision number moves up.