SUSTAINABILITY DATABASE

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JAPANESE

We introduce the sustainability database, which includes information on the environment, human capital, work-life balance, and governance of JIA.

NEWS

2026.03.27

We have registered "Environmental Data/Energy consumption and GHG emissions data, Human Capital Data, Work-Life Balance Data, and Governance Data" for the fiscal year ending December 2025.

Environmental Data

Energy consumption and GHG emissions data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Energy consumption Gasoline consumption ℓ 6,211 8,249 9,028 12,108
Electricity consumption kWh 141,038 149,107 156,047 161,175
Average number of employees Average at end of quarter Person 154.0 160.8 180.8 215.0
GHG emissions Scope1,2 Total t-co2 75.8 84.5 89.0 96.7
Per Person
Scope1+2 Total		 t-co2 0.49 0.53 0.49 0.45
Scope1 t-co2 14.8 19.8 20.7 28.8
Scope2 t-co2 61.0 64.7 68.3 67.9
Scope1+2+3 Total t-co2 - - 8,249.5 10,327.86
Per Person
Scope1+2+3 Total		 t-co2 - - 45.6 48.0
Scope3 t-co2 - - 8,160.5 10,231.2
Products and services purchased
(3-1)		 t-co2 - - 8,037,7 10,019.3
Acquisition of fixed assets
(3-2)		 t-co2 - - 55.3 131.46
Business trip
(3-6)		 t-co2 - - 23.6 28.0
Employer commuting
(3-7)		 t-co2 - - 43.9 52.4
(Reference) Green purchasing ratio (office supplies, etc.) % 58.4 72.9 72.4 69.9
  • Note: [Subject corporation] Both Scope 1 and 2 are Japan Investment Adviser Co., Ltd. and JP Lease Products & Services Co., Ltd.
  • Note: [calculation method] Both Scope 1 and 2 are calculated based on the "Basic Guidelines for Calculating Greenhouse Gas Emissions through Supply Chains" formulated by the Ministry of Economy, Trade and Industry and the Ministry of the Environment. Emission intensity is calculated using the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".
  • Note: [Scope 1 data] Greenhouse gas (GHG) emissions from business activities, mainly from gasoline consumption..
  • Note: [Scope 2 data] CO2 emissions from business activities, mainly from purchased electricity Greenhouse gas (GHG) emissions
  • Note: [Scope 2 emission factor] Calculated based on the location standard using the national average emission factor of the "List of Emission Factors by Electric Utility" disclosed by the Ministry of the Environment for each fiscal year. (However, the market standard is also the same value.)
  • Note: [Scope -(3-1) emission factor] Emission intensity is calculated using the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains". In addition, the "input-output table-based" and "value-based" calculation methods are used.
  • Note: [Scope -(3-6) emission factor] Emission intensity is calculated using "Emissions intensity per employee" in the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".
  • Note: [Scope -(3-7) emission factor] Emission intensity is calculated using " Emissions intensity per number of employees and days worked" in the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".

Human Capital Data

Employee Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of full-time employees Total Person 159 164 198 230
Male Person 117 121 143 167
Female Person 42 43 55 63
(Percentage of female) % 26.4 26.2 27.8 27.4
Number of non-full-time employees Total Person 15 13 13 21
Male Person 14 11 10 18
Female Person 1 2 3 3
(Percentage of female) % 6.7 15.4 23.1 14.3
Number of managers Total Person 49 51 52 61
Female Person 3 6 4 5
(Percentage of female) % 6.1 11.8 7.7 8.2
Rate of employment for the disabled % 1.23 1.10 1.00 The data will be compiled at the end of June.
Average years of full-time employees service Total Year 3.3 3.5 3.5 3.6
Male Year 3.2 3.4 3.4 3.5
Female Year 3.5 3.8 3.6 3.9
Average age of employees Total Age 47.9 47.7 47.5 48.1
Male Age 51.6 51.1 51.1 51.4
Female Age 37.7 38.0 38.3 39.3
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] As of December 31 of each fiscal year (Employees who retired as of December 31 of each fiscal year are included in the number of employees at the end of the fiscal year.)
  • Note: [Method of calculating] Any fraction of less than one person in the calculation results is rounded off to one decimal place.
  • Note： [Rate of employment for the disabled] As of 1 June each fiscal year.

Wage data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Wage Differentials between Male and Female All employees % 57.8 55.4 55.3 53.8
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)
  • Note: [Wage calculation method] Includes base salary, allowances for overtime work, bonuses, etc., but excludes commuting allowances.
  • Note: [wage differential] The wage differentials between male and female represents the ratio of the average annual wage for female to the average annual wage for male.
  • Note: Wages do not differ by sex or for the same work, but by employment category, qualifications, and experience. Thus, the difference in wages between male and female workers is primarily due to the difference in years of experience, which is reflected in the difference in average age. (Reference: Average male age: 51.4 years, average female age: 39.3 years as FY2025)

Recruitment data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of new graduates hired as full-time employees Total Person 0 0 0 0
Male Person 0 0 0 0
Female Person 0 0 0 0
(Percentage of female) % - - - -
Number of full-time mid-career hires Total Person 37 31 52 56
Male Person 33 23 36 44
Female Person 4 8 16 12
(Percentage of female) % 10.8 25.8 30.8 21.4
Number of non-full employees promoted to full-time employees Total Person 1 2 0 1
Male Person 1 0 0 0
Female Person 0 2 0 1
(Percentage of female) % - 100.0 - 100.0
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time employees
  • Note: [Period] Total for each fiscal year (From January to December)

Retirement Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of retirees Total Person 32 23 18 22
Number of employees who left for voluntary quit Person 32 23 18 22
Number of employees who left for involuntary quit Person 0 0 0 0
Male Person 27 16 14 19
Female Person 5 7 4 3
Job turnover rate Numbers of retiree divided by Numbers of employees % 20.1 14.0 9.1 9.6
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time employee
  • Note: [Period] Total for each fiscal year (From January to December)

Work-Life Balance Data

Vacation Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of days of paid vacation granted Total Day 18.1 18.1 16.4 17.7
Male Day 17.9 17.9 16.5 17.7
Female Day 18.6 18.9 16.1 17.9
Number of paid vacations aquire Total Day 12.3 13.4 12.9 12.4
Male Day 11.9 12.6 12.2 11.6
Female Day 13.5 15.7 14.8 14.4
Acquisition rate of paid vacations Total % 68.3 74.0 78.6 69.8
Male % 66.8 70.6 73.6 65.9
Female % 72.3 83.2 91.9 80.3
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Working hours data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Total annual hours worked
per person		 Total Hour 2,001 2,008 1,992 1,986
Male Hour 1,984 1,997 1,979 1,971
Female Hour 2,048 2,039 2,026 2,024
Average overtime hours per person Total Hour 9.5 9.3 9.1 8.5
Male Hour 10.5 12.6 11.4 9.4
Female Hour 8.8 7.2 7.6 7.9
Average overtime work per person Total Yen 24,114 27,624 28,364 28,397
Male Yen 25,300 40,227 38,423 33,917
Female Yen 23,177 19,343 22,105 24.855
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Data related to employees workers' childcare, childbirth, and nursing care

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of maternity leave acqire Female Person 5 5 3 3
Number of childcare leave or time off Total Person 9 7 5 8
Male Person 1 1 2 4
Female Person 8 6 3 4
Rate of taking childcare leave or time off Total % 100.0 100.0 100.0 100.0
Male % 100.0 100.0 100.0 100.0
Female % 100.0 100.0 100.0 100.0
Number of employees using the shortened working hour system for childcare Total Person 3 6 6 9
Male Person 1 0 0 1
Female Person 2 6 6 8
Number of employees returning to work after childcare leave Total Person 3 4 2 1
Male Person 1 0 0 0
Female Person 2 4 2 1
Return to work rate for childcare leave
Calculation method: Number of employees returning to work on childcare leave divided by Total number of employees whose childcare leave has ended		 Total % 100.0 100.0 100.0 100.0
Male % 100.0 - - -
Female % 100.0 100.0 100.0 100.0
Number of nursing leave Total Person 0 0 4 20
Male Person 0 0 3 16
Female Person 0 0 1 4
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (January-December)

Health Care Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Rate of medical check‐up Total % 99.4 100.0 97.4 The data will be compiled at the end of March.
Male % 99.2 100.0 97.8 The data will be compiled at the end of March.
Female % 100.0 100.0 96.2 The data will be compiled at the end of March.
Mental Health Leave Total Person 0 0 1 1
Male Person 0 0 1 0
Female Person 0 0 0 1
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Governance Data

Directors Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of Directors Total Person 8 8 8 8
Male Person 8 8 7 7
Female Person 0 0 1 1
Number of Outside Directors Person 4 4 5 5
(Ratio of Outside Directors) % 50.0 50.0 62.5 62.5
Number of Board Meetings and Attendance Number of Board of Directors Time 14 13 13 13
(Attendance rate of all Directors) % 100.0 98.1 99.0 100.0
(Attendance rate of Outside Directors) % 100.0 96.2 98.4 100.0
Terms of Directors Year 2 2 2 2
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Attendance is during the tenure of office in each fiscal year (From January to December)

Audit & Supervisory data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Number of Audit & Supervisory Total Person 3 3 3 3
Male Person 3 3 3 3
Female Person 0 0 0 0
Number of Outside Audit & Supervisory Person 2 2 2 3
(Rate of Outside Audit & Supervisory) % 66.6 66.6 66.6 100.0
Nunber of Audit & Supervisory board
Attendance		 Nunber of Audit & Supervisory board Times 13 13 14 14
(Attendance rate of outside Audit & Supervisory) % 100.0 92.3 100.0 100.0
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Attendance is during the tenure of office in each fiscal year (From January to December)

Nominating and Compensation Advisory Committee Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Nominating and Compensation Advisory Committee
Number of members		 Total Person 3 3 3 3
Number of Outside Directors Person 1 1 1 1
(Composition of Outside Directors) % 33.3 33.3 33.3 33.3
Chairman Inside Director Inside Director Inside Director Inside Director
Nominating and Compensation Advisory Committee
Status of the event		 Total Times 2 1 1 1
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Number of events is the total for the period in each fiscal year (From January to December).

Board members Compensation Data

Item Breakdown Unit FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.		 FY2025
Ended Dec.
Board members Compensation Directors Million Yen 187 180 160 165
Of which, Outside Directors Million Yen 22 22 25 27
Audit & Supervisory Million Yen 12 12 12 14
Of which, outside Audit & Supervisory Million Yen 7 6 7 12
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: Remuneration for executives is fixed remuneration only, with no performance-linked or non-monetary remuneration