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Earnings presentation materials3679ZIGExN Co.,Ltd.Information and Communications, Services and Others

Financial Results Presentation Materials for the Second Quarter of the Fiscal Year Ending March 2027

In the second quarter of the fiscal year ending March 2027, revenue and operating profit, among other items, exceeded the year-earlier period, reaching record highs for a second quarter. The full-year forecast remains unchanged, while the company advances growth initiatives including its generative AI and ZMA strategies, M&A, and the travel and automotive businesses.

Worth reading
78Important
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
16
Year-on-year change (revenue, %)
Wording
Conditional
How definitive the wording is.

Contents of this document

Earnings presentation materialsSecond quarter of the fiscal year ending March 202713 items taken from the company’s own explanation
Financial Results Figures (The key points of this material are explained below)
Net Sales¥16,001 million+16.0%
Operating profit¥3,181 million+12.0%
Net income¥2,125 million+7.0%
Operating profit margin19.3 %
Results for the three months of the current quarter
Revenue
¥8,193 million+17.0%
EBITDA
¥2,033 million+10.0%
Operating profit
¥1,580 million+10.0%
Full-year earnings forecast
Revenue
¥33,500 million
Vertical HR revenue
¥15,500 million
Life Service revenue
¥18,000 million
EBITDA
¥8,320 million
Operating profit
¥6,430 million
Profit attributable to owners of the parent
¥4,390 million
Basic earnings per share
¥44.09
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。
Revenue48%
Vertical HR revenue50%
Life Service revenue46%
EBITDA48%
Operating profit49%
Profit attributable to owners of the parent48%
Basic earnings per share49%
What the company explained in this material
Self-assessment against the planThe company's self-assessment against its own plan.
Progressing smoothly against the earnings forecast, taking seasonality into account
Assumptions Underlying the Business OutlookThe assumptions used by the company in preparing its forecast.
Lead Time from Placement to Start Date2–6 months (approximately 3 months on average)
Domestic Vertical AI Market Size in FY2040Approximately ¥35 trillion
New initiatives
  • Vertical AI strategy through ZIGExN Matching Agent (ZMA)
  • AI agent for finding used cars in the automotive sector, “Kuruma AI”
  • AI-powered automatic quotation feature in the travel sector, “AI quosys”
  • Strategic partnership with Miki Tourist
  • Strategic partnership with NOL Universe
  • Full-scale operation of the virtual company system
  • Operational efficiency initiatives led by the AX/AI and Security Promotion Office
  • Revision of M&A investment criteria
Key KPIsA metric the company considers important as a management benchmark.
  • Number of corporate customers22,165 companies-5.6%
  • Average spend per corporate customer¥142 10,000+23.6%
  • Used-car media UUCVYoY +158%+158.0%
  • BOJ Tankan: DI for large manufacturers24 DI
Unit price and quantity metricsThese figures show sales broken down by price and volume.
  • Number of corporate customers22,165 companies-5.6%
  • Average spend per corporate customer¥142 10,000+23.6%
  • Vertical HR customer count14,499 companies
  • Vertical HR average revenue per customer¥1,012 thousand
  • Life Service customer count7,666 companies
  • Life Service average revenue per customer¥2,188 thousand
Segment results
Vertical HR
Revenue
¥7,695 million+36.0%
Operating profit before allocation of common expenses
¥1,854 million+4.0%
Life Service
Revenue
¥8,306 million+2.0%
Operating profit before allocation of common expenses
¥1,827 million+15.0%
Medium-term management plan targets
Target fiscal yearFY2031/3
RevenueMore than ¥50 billion
EBITDAMore than ¥12 billion
ROEApproximately 20%
Financial targets
ROEApproximately 20% (FY2031/3 target)
Equity ratio attributable to owners of the parent55.8% (actual as of September 2026)
Goodwill-to-equity ratio0.6x (actual as of September 2026)
Market Size / Share
  • Domestic vertical AI marketApproximately ¥35 trillion
  • Global hotel B2B (bedbank) marketApproximately ¥20 trillion
  • MEAPAC hotel B2B (bedbank) marketApproximately ¥5 trillion
  • Japan hotel B2B (bedbank) marketApproximately ¥2 trillion
  • Combined share of leading hotel B2B playersIn the 10% range
Orders received and order backlog
Order Backlog in the Recruitment Placement BusinessGraph included (specific figures cannot be read)
Annual Dividend
¥13.5
Payout ratio
Approximately 30%
Acquisition of treasury shares
¥0 million equivalent
PeriodNot scheduled for implementation in the fiscal year ending March 2027
Contents of this document
ItemDetails
Document typeEarnings presentation materials
Fiscal Period CoveredSecond quarter of the fiscal year ending March 2027
Net Sales¥16,001 million (YoY +16.0%)
Operating profit¥3,181 million (YoY +12.0%)
Net income¥2,125 million (YoY +7.0%)
Operating profit margin19.3 %
Results for the three months of the current quarterRevenue ¥8,193 million (YoY +17.0%) / EBITDA ¥2,033 million (YoY +10.0%) / Operating profit ¥1,580 million (YoY +10.0%)
Full-year earnings forecastRevenue ¥33,500 million / Vertical HR revenue ¥15,500 million / Life Service revenue ¥18,000 million / EBITDA ¥8,320 million / Operating profit ¥6,430 million / Profit attributable to owners of the parent ¥4,390 million / Basic earnings per share ¥44.09
Progress against full-year forecastRevenue 48% / Vertical HR revenue 50% / Life Service revenue 46% / EBITDA 48% / Operating profit 49% / Profit attributable to owners of the parent 48% / Basic earnings per share 49%
Self-assessment against the planProgressing smoothly against the earnings forecast, taking seasonality into account
Segment resultsVertical HR Revenue ¥7,695 million (YoY +36.0%) / Operating profit before allocation of common expenses ¥1,854 million (YoY +4.0%) / Life Service Revenue ¥8,306 million (YoY +2.0%) / Operating profit before allocation of common expenses ¥1,827 million (YoY +15.0%)
Key KPIsNumber of corporate customers 22,165 companies (YoY -5.6%), Average spend per corporate customer ¥142 10,000 (YoY +23.6%), Used-car media UUCV YoY +158% (YoY +158.0%), BOJ Tankan: DI for large manufacturers 24 DI
Unit price and quantity metricsNumber of corporate customers 22,165 companies (YoY -5.6%), Average spend per corporate customer ¥142 10,000 (YoY +23.6%), Vertical HR customer count 14,499 companies, Vertical HR average revenue per customer ¥1,012 thousand, Life Service customer count 7,666 companies, Life Service average revenue per customer ¥2,188 thousand
Assumptions Underlying the Business OutlookLead Time from Placement to Start Date 2–6 months (approximately 3 months on average) / Domestic Vertical AI Market Size in FY2040 Approximately ¥35 trillion
Medium-term management plan targetsTarget fiscal year FY2031/3 / Revenue More than ¥50 billion / EBITDA More than ¥12 billion / ROE Approximately 20%
Financial targetsROE Approximately 20% (FY2031/3 target) / Equity ratio attributable to owners of the parent 55.8% (actual as of September 2026) / Goodwill-to-equity ratio 0.6x (actual as of September 2026)
Annual Dividend¥13.5
Payout ratioApproximately 30%
Acquisition of treasury sharesAmount ¥0 million equivalent / Period Not scheduled for implementation in the fiscal year ending March 2027
Orders received and order backlogOrder Backlog in the Recruitment Placement Business Graph included (specific figures cannot be read)
Market Size / ShareDomestic vertical AI market Approximately ¥35 trillion, Global hotel B2B (bedbank) market Approximately ¥20 trillion, MEAPAC hotel B2B (bedbank) market Approximately ¥5 trillion, Japan hotel B2B (bedbank) market Approximately ¥2 trillion, Combined share of leading hotel B2B players In the 10% range
New initiativesVertical AI strategy through ZIGExN Matching Agent (ZMA), AI agent for finding used cars in the automotive sector, “Kuruma AI”, AI-powered automatic quotation feature in the travel sector, “AI quosys”, Strategic partnership with Miki Tourist, Strategic partnership with NOL Universe, Full-scale operation of the virtual company system, Operational efficiency initiatives led by the AX/AI and Security Promotion Office, Revision of M&A investment criteria
Items this document does not state (9)
Ordinary incomeGross Profit MarginSelling, general and administrative expensesBreakdown of Factors Affecting the ChangeNumber of stores and locationsNumber of employeesRisk amount incorporated into the outlookCapital 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.

Growth in existing businesses such as Ties and the effects of M&A contributed to Vertical HR, while growth in the travel and automotive businesses contributed to Life Service. In addition, improvements in conversion rates and operating productivity through the use of AI, as well as portfolio optimisation, supported profitability.

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