Financial Results Presentation for the Fiscal Year Ending June 2026 | GRID Inc. (5582) timely disclosure

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52Recurring

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Direction

Improvement

Direction inferred from the company’s description.

Scale

1055

¥ million (year-on-year increase in net sales)

Wording

Definitive

How definitive the wording is.

Contents of this document

Financial results presentationFull fiscal year ending June 20269 items taken from the company’s own explanation

Financial Results Figures (The key points of this material are explained below)

Net Sales¥3,119 million+51.2%

Operating profit¥459 million+7.3%

Ordinary income¥466 million+8.9%

Net income¥345 million+15.7%

Operating profit margin14.7%, down 1.0 percentage point year on year

Results for the three months of the current quarter

Company-wide revenue

¥1,167 million

Consolidated operating profit

¥149 million

AI business revenue

¥575 million

AI business operating profit

¥150 million

Infrastructure asset business revenue

¥592 million

Infrastructure asset business operating profit

¥130 million

Corporate expenses

¥-131 million

Full-year earnings forecast

Net Sales

¥4,500 million

AI business revenue

¥3,000 million

Infrastructure asset business revenue

¥1,500 million

Operating profit

¥600 million

Ordinary income

¥610 million

Net income for the current fiscal year

¥400 million

What the company explained in this material

Self-assessment against the planThe company's self-assessment against its own plan.

Both operating profit and the operating margin met the plan, with results exceeding the plan

Breakdown of Factors Affecting the ChangeReasons cited by the Company for the change in the figures.

Revenue
Change in amount1,055
Engineering personnel expenses
Change in amount151
Software-related expenses
Change in amount47
Outsourcing costs
Change in amount538
Sales and administrative personnel expenses
Change in amount109
Recruitment costs
Change in amount36
Advertising expenses
Change in amount13
Rent and relocation costs
Change in amount86
Other
Change in amount40

New initiatives

Beginning with the fiscal year ended June 2026, disclose the infrastructure asset business as an independent segment
Expand the AI business into the urban and transportation field, including railways and aviation
Implement natural-language conversational AI in ReNom Apps
Expand the infrastructure asset business by combining AI and optimization software with battery storage systems
Change disclosures from order intake and order backlog to a focus on the project pipeline

Key KPIsA metric the company considers important as a management benchmark.

Revenue per AI business engineer¥30.1 million
Revenue per AI business employee¥26 million
New customers10 companies
Customer repeat rate75 %
Year on year against the same period last yearIncreased for the second consecutive fiscal year, up 5.0 percentage points year on year
Revenue repeat rate85 % or higher
Year on year against the same period last yearMaintained at 85% or higher for the third consecutive fiscal year
Subscription revenue ratio27.1 %
Year on year against the same period last year+1.6%
Average revenue per customer¥60.5 million
Year on year against the same period last year+9.2%
Number of business partners39 companies
Year on year against the same period last year0.0%
Number of projects76 Engagements
Year on year against the same period last year-5.0%

Unit price and quantity metricsThese figures show sales broken down by price and volume.

Average revenue per customer¥60.5 million
Year on year against the same period last year+9.2%
Revenue per AI business engineer¥30.1 million
Revenue per AI business employee¥26 million

Segment results

AI Business
Net Sales¥2,362 million
Year-on-year change in revenue17.9
Profit¥848 million
Year-on-year change in profit12.5
Infrastructure Asset Business
Net Sales¥756 million
Year-on-year change in revenue1,173.9
Profit¥100 million
Year-on-year change in profit164.7
Corporate expenses
Profit¥-489 million
Year-on-year change in profit-34.3

Market Size / Share

TAM for the AI business¥3.84 trillion 2025
TAM for the AI business¥6.25 trillion 2030
Rate of increase62.8
Investment in power transmission and distribution networks6～7through 2050

Orders received and order backlog

Orders received

¥1,671 million

Order backlog

¥1,101 million

Number of employees

Average number of AI business employees during the period90.9 people

Hiring planContinue active recruitment

Number of optimization engineersMore than 70

Contents of this document
Item	Details
Document type	Financial results presentation
Fiscal Period Covered	Full fiscal year ending June 2026
Net Sales	¥3,119 million (YoY +51.2%)
Operating profit	¥459 million (YoY +7.3%)
Ordinary income	¥466 million (YoY +8.9%)
Net income	¥345 million (YoY +15.7%)
Operating profit margin	14.7%, down 1.0 percentage point year on year
Results for the three months of the current quarter	Company-wide revenue ¥1,167 million / Consolidated operating profit ¥149 million / AI business revenue ¥575 million / AI business operating profit ¥150 million / Infrastructure asset business revenue ¥592 million / Infrastructure asset business operating profit ¥130 million / Corporate expenses ¥-131 million
Full-year earnings forecast	Net Sales ¥4,500 million / AI business revenue ¥3,000 million / Infrastructure asset business revenue ¥1,500 million / Operating profit ¥600 million / Ordinary income ¥610 million / Net income for the current fiscal year ¥400 million
Self-assessment against the plan	Both operating profit and the operating margin met the plan, with results exceeding the plan
Segment results	Segment AI Business / Net Sales ¥2,362 million / Year-on-year change in revenue 17.9 / Profit ¥848 million / Year-on-year change in profit 12.5, Segment Infrastructure Asset Business / Net Sales ¥756 million / Year-on-year change in revenue 1,173.9 / Profit ¥100 million / Year-on-year change in profit 164.7, Segment Corporate expenses / Net Sales Not disclosed / Profit ¥-489 million / Year-on-year change in profit -34.3
Breakdown of Factors Affecting the Change	Factors Revenue / Change in amount ¥1,055 million, Factors Engineering personnel expenses / Change in amount ¥151 million, Factors Software-related expenses / Change in amount ¥47 million, Factors Outsourcing costs / Change in amount ¥538 million, Factors Sales and administrative personnel expenses / Change in amount ¥109 million, Factors Recruitment costs / Change in amount ¥36 million, Factors Advertising expenses / Change in amount ¥13 million, Factors Rent and relocation costs / Change in amount ¥86 million, Factors Other / Change in amount ¥40 million
Key KPIs	Indicator name Revenue per AI business engineer / Value ¥30.1 million / Year on year against the same period last year Not disclosed, Indicator name Revenue per AI business employee / Value ¥26 million / Year on year against the same period last year Not disclosed, Indicator name New customers / Value 10 companies / Year on year against the same period last year Not disclosed, Indicator name Customer repeat rate / Value 75 % / Year on year against the same period last year Increased for the second consecutive fiscal year, up 5.0 percentage points year on year, Indicator name Revenue repeat rate / Value 85 % or higher / Year on year against the same period last year Maintained at 85% or higher for the third consecutive fiscal year, Indicator name Subscription revenue ratio / Value 27.1 % / Year on year against the same period last year 1.6 %, Indicator name Average revenue per customer / Value ¥60.5 million / Year on year against the same period last year ¥9.2 million, Indicator name Number of business partners / Value 39 companies / Year on year against the same period last year 0 companies, Indicator name Number of projects / Value 76 Engagements / Year on year against the same period last year -5 Engagements
Unit price and quantity metrics	Indicator name Average revenue per customer / Value ¥60.5 million / Year on year against the same period last year ¥9.2 million, Indicator name Revenue per AI business engineer / Value ¥30.1 million / Year on year against the same period last year Not disclosed, Indicator name Revenue per AI business employee / Value ¥26 million / Year on year against the same period last year Not disclosed
Number of employees	Average number of AI business employees during the period 90.9 people / Hiring plan Continue active recruitment / Number of optimization engineers More than 70
Orders received and order backlog	Orders received ¥1,671 million / Order backlog ¥1,101 million
Market Size / Share	TAM for the AI business ¥3.84 trillion (2025), TAM for the AI business ¥6.25 trillion (2030), Investment in power transmission and distribution networks 6～7
New initiatives	Beginning with the fiscal year ended June 2026, disclose the infrastructure asset business as an independent segment, Expand the AI business into the urban and transportation field, including railways and aviation, Implement natural-language conversational AI in ReNom Apps, Expand the infrastructure asset business by combining AI and optimization software with battery storage systems, Change disclosures from order intake and order backlog to a focus on the project pipeline

Items this document does not state (13)

Gross Profit MarginSelling, general and administrative expensesProgress against full-year forecastNumber of stores and locationsAssumptions 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 the AI business, growth in the power domain, expansion in the urban and transportation domain centered on railway planning, a high customer repeat rate, and entry into new areas contributed to results. In the infrastructure asset business, battery storage facility development moved into full-scale operation. Operating expenses, including upfront investments, outsourcing costs, and costs related to the head office relocation, increased, but were absorbed by higher revenue and improved productivity.

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