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Non-Financial Summary

TIS Inc., and consolidated subsidiaries
Compilation period: April 1 to March 31 of each year or the base date

Employee-related data

(Note 1) * Averages are calculated as simple combined averages orweighted averages.


Scope of data collection Fiscal 2021 Fiscal 2022 Fiscal 2023 Fiscal 2024 Fiscal 2025
Number of employees (Note 2) A - 21,796 21,916 22,062 21,951
  Employee Composition by Nationality: Japan(persons) A - 19,319 19,399 19,823 19,913
  Employee Composition by Nationality: Thailand(persons) A - 2,038 2,085 1,805 1,607
  Employee Composition by Nationality: China(persons) A - 252 250 260 276
  Employee Composition by Nationality: Others(persons) A - 187 182 174 155
Number of employees B - 19,498 19,573 20,010 20,132
  Number of male employees B - 14,017 13,959 14,200 14,185
  Number of female employees B - 5,481 5,614 5,810 5,947
  Percentage of female employees B - 28.1 28.7 29.0 29.5
  Percentage of mid-career hires B - 24.0 23.2 24.2 24.4
  Age composition: younger than 18 (persons) B - 0 0 0 0
  Age composition: 18-24 (persons) B - 1,368 1,297 1,329 1,341
  Age composition: 25-29 (persons) B - 3,013 3,175 3,420 3,476
  Age composition: 30-34 (persons) B - 2,089 2,005 2,031 2,221
  Age composition: 35-39 (persons) B - 2,938 2,811 2,662 2,356
  Age composition: 40-44 (persons) B - 2,923 2,836 2,749 2,662
  Age composition: 45-49 (persons) B - 2,643 2,789 2,972 3,007
  Age composition: 50-54 (persons) B - 2,483 2,396 2,294 2,291
  Age composition: 55-59 (persons) B - 1,752 1,882 2,082 2,167
  Age composition: 60 and older (persons) B - 289 382 471 611
  Average age of employees B - 40.1 40.3 40.4 40.5
    Average age of male employees B - 41.3 41.5 41.6 41.7
    Average age of female employees B - 37.1 37.3 37.5 37.8
  Average length of service of employees (years) B - 14.2 14.0 14.2 14.4
  Average length of service of male employees (years) B - 15.1 15.1 15.3 15.4
  Average length of service of female employees (years) B - 11.9 11.4 11.6 11.9
  Difference between average length of service of male and female employees (years) B - 3.2 3.7 3.6 3.5
Number of employees in management positions (Note 3) B - 4,454 4,570 4,470 4,726
  Number of male employees in management positions B - 3,997 4,067 3,942 4,114
  Number of female employees in management positions B - 457 503 528 612
  Percentage of female employees in management positions B - 10.3 11.0 11.8 12.9
  Number of employees at department manager level or above B - 564 599 593 593
    Number of male employees at department manager level or above B - 533 567 565 553
    Number of female employees at department manager level or above B - 31 32 28 40
    Percentage of female employees at department manager level or above B - 5.5 5.3 4.7 6.7
  Number of employees at section manager level B - 3,890 3,971 3,877 4,133
    Number of male employees at section manager level B - 3,464 3,500 3,377 3,561
    Number of female employees at section manager level B - 426 471 500 572
    Percentage of female employees at section manager level B - 11.0 11.9 12.9 13.8
  Number of employees in management positions in revenue-generating functions B - 3,652 3,797 3,781 4,035
    Number of male employees in management positions in revenue-generating functions B - 3,318 3,428 3,391 3,575
    Number of female employees in management positions in revenue-generating functions B - 334 369 390 460
    Percentage of  female employees in management positions in revenue-generating functions B - 9.1 9.7 10.3 11.4
Number of newly appointed employees in management positions (Note 3) B - - - - 347
  Number of newly appointed male employees in management positions B - - - - 272
  Number of newly appointed female employees in management positions B - - - - 75
  Percentage of newly appointed female employees in management positions  B - - - - 21.6
  Number of newly appointed young employees in management positions (Note 4) B - - - - 49
Number of employees in STEM-related positions (Note 5) B - 12,285 12,354 12,318 12,748
  Number of male employees in STEM-related positions B - 9,295 9,282 9,232 9,480
  Number of female employees in STEM-related positions (Note 5) B - 2,990 3,072 3,086 3,268
  Percentage of female employees in STEM-related positions (Note 5) B - 24.3 24.9 25.1 25.6
Number of consultants B 250 300 420 510 545
Number of  IT architects B - - - - 270
Number of  high-level marketing talents B - - - - 262
Percentage of employees with a disability (Note 6) F 2.35 2.40 2.30 2.18 2.43
  Number of new graduate recruits B 861 821 806 836 851
  Number of new male graduate recruits B 551 503 522 539 549
  Number of new female graduate recruits B 310 318 284 297 302
  Percentage of new female graduate recruits B 36.0 38.7 35.2 35.5 35.5
Number of mid-career hires B 363 322 312 368 384
  Number of male mid-career hires B 257 220 218 246 254
  Number of female mid-career hires B 106 102 94 122 130
  Percentage of female mid-career hires B 29.2 31.7 30.1 33.2 33.9
Turnover Rate (Note 7) B - - - 5.4 5.5
Voluntary Turnover Rate (Note 8) B 3.4 4.0 4.0 4.1 4.0
Retention rate for new graduates after 3 years  B - 85.4 85.2 84.3 86.8
Retention rate for new graduates after 5 years  B - - - 73.1 70.4
Retention rate for mid-career hires after 3 years B - - - 79.0 77.7
Retention rate for mid-career hires after 5 years B - - - 63.5 61.3
Job satisfaction (Note 9) B - 51 52 52 56
Job Contentment (Note 10) B - 37 39 39 43
Absenteeism (Note 11) B - 1.0 1.0 1.0 0.9
Presenteeism (Note 12) B - - - - 22.1
Average monthly working hours B - 156.2 162.7 165.8 163.9
Average monthly overtime hours B - 14.0 14.9 13.6 14.0
Number of employees whose average monthly non-statutory working hours are 45 hours or more  B - 698 795 577 517
Percentage of employees whose average monthly non-statutory working hours are 45 hours or more B - 3.6 4.1 2.9 2.6
Number of employees whose average monthly non-statutory working hours are 60 hours or more  B - 49 24 34 28
Percentage of annual paid leave taken B - 63.2 68.2 68.5 66.0
Average number of days of annual paid leave taken B - - - 13.1 12.5
Number of male employees taking long-term childcare leave (Note 13) B - 126 135 160 178
Percentage of male employees taking long-term childcare leave B - - 43.4 49.8 60.5
Number of male employees taking short- or long-term childcare leave (Note 13,14) B - - 236 257 244
Percentage of male employees taking short- or long-term childcare leave B - - 75.9 80.1 83.0
Number of female employees taking long-term childcare leave (Note 13) B - - 164 224 195
Percentage of female employees taking long-term childcare leave B - - 91.6 106.7 115.4
Number of employees taking shortened working hours for childcare B - 746 734 744 759
  Number of male employees taking shortened working hours for childcare B - 17 12 22 21
  Number of female employees taking shortened working hours for childcare B - - 722 722 738
Number of  employees taking long-time nursing care leave B - 23 13 20 18
  Number of male employees taking long-time nursing care leave B - - 7 8 9
  Number of female employees taking long-time nursing care leave B - - 6 12 9
Number of  employees taking shortened working hours for nursing care B - 4 4 3 6
  Number of male employees taking shortened working hours for nursing care B - - 3 2 3
  Number of female employees taking shortened working hours for nursing care B - - 1 1 3
Spending on  training and development for employee (million yen) B - 2,052 2,259 2,378 2,400
Spending on training and development for employee per person per annum (yen) B - 105,254 115,401 118,835 119,228
Number of days spent on learning and research per person per annum B - 11.7 12.5 12.1 12.4
Average annual salary (thousands of yen) I 7,174 7,410 7,517 8,032 8,067
Basic salary increase (%) (Note 15) I - 2.6 2.2 8.3 2.6
Mean gender pay gap in employees (%) I - - 79.3 80.5 81.4
Mean gender pay gap in management positions (%) I - - 91.9 91.0 91.7
Mean gender pay gap in non-management positions (%) I - - 91.3 92.6 93.6
Median gender pay gap in employees (%) I - - 79.4 81.1 81.7
Mean bonus gap in employees (%) I - - 73.7 76.8 78.8
Median bonus gap in employees (%) I - - 79.8 85.2 86.6
Absenteeism (%) (Note 16) I 0.9 1.1 1.1 1.4 1.4
Presenteeism (%) (Note 17) I 30.1 25.8 28.3 22.8 22.5
Absent rate (%) I - - 0.4 0.7 0.7
Occupational Accident Frequency Rate (%) I  - 0.0 0.2 0.1 0.4
Regular health checkup rate (%) I 100.0 100.0 100.0 100.0 100.0
Regular health checkup reexamination rate (%) I 28.2 42.0 59.4 68.4 65.7

TIS Officer Data

Officer attributes (Note18) Scope of data collection Fiscal 2021 Fiscal 2022 Fiscal 2023 Fiscal 2024 Fiscal 2025
Number of officers (Note 19) I 46 46 45 43 45
Number of male officers I 43 42 40 37 38
Number of female officers I 3 4 5 6 7
Percentage of female officers I 6.5 8.7 11.1 14.0 15.6
Number of directors I 9 9 9 9 9
Number of male directors I 8 8 8 8 7
Number of female directors I 1 1 1 1 2
Percentage of female directors I 11.1 11.1 11.1 11.1 22.2
Number of external directors I 3 3 3 3 3
Percentage of external directors I 33.3 33.3 33.3 33.3 33.3
Number of Audit & Supervisory Board members I 5 5 5 5 5
Number of male Audit & Supervisory Board members I 4 4 3 3 3
Number of female Audit & Supervisory Board members I 1 1 2 2 2
Percentage of female Audit & Supervisory Board members I 20.0 20.0 40.0 40.0 40.0
Number of executive officers I 25 26 25 24 26
Number of male executive officers I 24 24 23 21 23
Number of female executive officers I 1 2 2 3 3
Percentage of female executive officers I 4 8 8 13 12
Remuneration: Directors (excluding external directors) (Millions of yen) I 261 232 249 235 406
Remuneration: Audit & Supervisory Board members (excluding external auditors) (Millions of yen) I 41 41 41 29 28
Remuneration:External directors and external auditors (Millions of yen) I 60 61 61 61 61

Environmental data


Scope of data collection Fiscal 2021 Fiscal 2022 Fiscal 2023 Fiscal 2024 Fiscal 2025
Scope 1 GHG emissions (t-CO2) (Note 20) D 760 513 481 444 1,070
Scope 2 GHG emissions (t-CO2) (Note 20) D 65,867 64,157 53,076 25,572 21,560
Scope 3 GHG emissions (t-CO2) (Note 21) C 441,687 418,761 465,226 511,036 539,183
- Category 1 (purchased goods and services) C 323,087 333,379 386,392 444,540 464,868
- Category 2 (capital goods) C 90,068 57,694 48,317 38,135 43,842
- Category 3 (fuel-and energy-related activities) C 10,106 10,269 9,026 4,624 3,313
- Category 4 (upstream transport and delivery) C 7,433 8,215 11,392 12,523 16,032
- Category 5 (waste generated in operations) C 361 703 580 805 772
- Category 6 (business travel) C 2,549 2,449 2,752 2,751 2,762
- Category 7 (employee commuting) C 8,083 6,052 6,766 7,658 7,595
Energy consumption (Electricity: MWh) D 141,620 139,560 143,909 138,511 130,482
Energy consumption (Fuel oil: kL) D 21 25 27 27 39
Energy consumption (Light oil: kL) D 0 0 0 0 0
Energy consumption (City gas: km3) D 313 199 188 170 461
Energy consumption (Liquefied petroleum gas: km3) D - 0 0 0 2
Energy consumption (Kerosene: kL) D 1 0 0 0 0
Energy consumption (Steam: GJ) D 1,301 19,116 19,807 3,343 3,501
Renewable energy consumption (MWh) (Note 22) D - - - 78,544 83,614
Renewable energy utilization rate (%) D - - - 56.7 64.1
Industrial waste (ton) E 290 472 188 291 914

Other non-financial data


Scope of data collection Fiscal 2021 Fiscal 2022 Fiscal 2023 Fiscal 2024 Fiscal 2025
Social contribution expenses (millions of yen) I 80 70 77 85 91
Social contribution expenses (millions of yen) A - - 89 139 139
Political contributions (10 thousands of yen) I 0 0 0 0 0
Political contributions (10 thousands of yen) B 0 27 32 26 61
Number of serious information security incidents B - 0 0 0 0
Number of employees receiving regular training on information security B - 18,542 25,369 27,188 25,254
Number of reports of leaks, etc. to supervisory authorities of the Personal Information Protection Law B - 0 4 2 0
Number of requests for disclosure of information related to personal information from Government and related organizations B - 1 3 1 0
Number of helpline calls: Calls received I 8 13 4 9 10
  those related to harassment I - - - 2 4
  those related to bribery I - - - 0 0
Number of helpline calls: Cases investigated I 8 12 4 9 10
  those related to harassment I - - - 2 4
  those related to bribery I - - - 0 0
Number of helpline calls: Case involving corrective action I 4 8 3 6 5
  those related to harassment I - - - 2 4
  those related to bribery I - - - 0 0
Number of harassment consultation cases (excluding those via the helpline) I - - - - 12
Development loss (millions of yen) A 1,938 1,845 404 4,002 2,644
Development loss rate A 0.8 0.7 0.1 1.4 0.9
Client/service satisfaction(%) G  - 55.9 54.2 54.0 58.5
Results of customer satisfaction surveys  (%) I 69.0 71.7 69.6 85.6 74.5
Business partner satisfaction (%) H - - - 77 74
Sales from data centers with 100% renewable energy adoption H - 4,401 15,570 29,441 29,366

Income tax by region: Scope of data collection A (consolidated basis)
Based on the consolidated financial statements for each years. Including regional performance and consolidation adjustments in Japan

(Millions of Yen)

Country or regions Net sales
(millions of yen)
Income before income taxes
(millions of yen)
Income taxes current
(millions of yen)
Income taxes paid
(millions of yen)
Number of employees
Japan Fiscal 2022 457,709 60,626 27,809 14,183 19,397
Fiscal 2023 478,314 77,446 21,196 29,203 19,450
Fiscal 2024 512,405 66,208 18,090 22,501 20,002
Fiscal 2025 532,585 72,363 19,235 15,452 19,952
Overseas Fiscal 2022 24,838 855 265 180 2,312
Fiscal 2023 30,086 4,045 356 509 2,496
Fiscal 2024 36,599 2,984 186 1,134 1,970
Fiscal 2025 39,101 1,783 297 381 1,813
Amount reported on the consolidated financial statements Fiscal 2022 482,547 61,481 28,074 14,363 21,709
Fiscal 2023 508,400 81,492 21,552 29,712 21,946
Fiscal 2024 549,004 69,193 18,277 23,636 21,972
Fiscal 2025 571,687 74,147 19,533 15,834 21,765

Scope of data collection:

  1. TIS INTEC Group (consolidated basis)
  2. TIS and consolidated subsidiaries in Japan. However, some data except for the data which has received independent practitioner's assurance, may not be included data of companies that became consolidated subsidiaries during the collection period depending on when they became consolidated subsidiaries.
  3. TIS, consolidated subsidiaries in Japan, MFEC Public(from April 2022), Business Application(from April 2022), Motif Technology Public(from April 2022), Hongson(from April 2022 to March 2023), MISO Digital(from April 2022 ), Prain Fintech(from April 2022), Msyne Innovations(from April 2022), Playtorium Solutions(from April 2022 to September 2024), and Data Café(from April 2022 to June 2022)
  4. [Fiscal 2025] TIS INTEC Group (consolidated basis) [from Fiscal 2021 to Fiscal 2024] TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, TIS System Service, TIS Tohoku, TIS Nagano, TIS West Japan, TIS Hokkaido, TIS Business Service (Company name have changed from TIS Total Services in April 2022), SorunPure, Chuo system(to November 2021), NEOAXIS (to March 2021), MFEC Public(from April 2022), Business Application(from April, 2022), Motif Technology Public(from April 2022), Hongson (from April 2022 to March 2023), MISO Digital(from April 2022 ), Prain Fintech(from April 2022), Msyne Innovations(from April 2022), Playtorium Solutions(from April 2022 to September 2024), and Data Café(from April 2022 to June 2022)
  5. TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, and TIS System Service
  6. TIS, QUALICA (from fiscal 2025),TIS Solution Link, TIS System Service, SorunPure, Miotsukushi Analytics (from fiscal 2025),and TIS Business Service
  7. TIS, INTEC, AGREX, QUALICA, AJS, and TIS Solution Link
  8. TIS, and INTEC
  9. TIS

Notes:

  1. Figures for fiscal 2021, fiscal 2022, fiscal 2023, fiscal 2024 and fiscal 2025 are based respectively on April 1, 2021; March 31, 2022; March 31, 2023, March 31, 2024, and March 31, 2025. Averages are calculated as simple combined averages or weighted averages. Covers regular employees (including those seconded to other companies), excluding non-regular employees and employees seconded from other companies,unless otherwise noted.
  2. The number of employees refers to the number of full-time employees as of the end of the fiscal period. This definition differs from that used in the Securities Report as stipulated by the Financial Services Agency of Japan.
  3. An employee at section manager level or above is defined as employee in management position.
  4. Percentage of regular employees aged 35 and under who have been promoted from non-management positions to management positions during the fiscal year.
  5. Employees in STEM-related positions consist of System engineers and programmers.
  6. Figures for fiscal 2021, fiscal 2022, fiscal 2023, fiscal 2024, and fiscal 2025 are based respectively on June 1, 2020; June 1, 2021, June 1, 2022, June 1, 2023, and June 1, 2024.
  7. Including company-initiated terminations.
  8. Excluding company-initiated terminations.
  9. Percentage of respondents who gave a positive response to the statement "Generally, the company is a good place to work." Weighted average of domestic consolidated operating companies excluding special subsidiary SorunPure.
  10. Average percentage of employees who gave a positive response to the statements “My work has special significance and goes beyond a mere job” and “My work is connected to the vision the organization is aiming to achieve” in the Employee Awareness Survey.
  11. Percentage of employees who have taken at least 30 consecutive days of leave due to injury or illness as at the fiscal year-end.
  12. Situation in which employees are present at work but their work performance has declined due to a health issue. Measured using the University of Tokyo’s Single-Item Presenteeism Question.
  13. The number of employees taking long-term childcare leave after fiscal 2023 was calculated in accordance with the Act on Childcare Leave, Caregiver Leave, and Other Measures for the Welfare of Workers Caring for Children or Other Family Members. The number of employees taking long-term childcare leave in or before fiscal 2022 represents the number of employees taking long-term leave (including annual leave and accumulated leave but excluding congratulatory leave) during that fiscal year regardless of the fiscal year in which the child was born.
  14. Includes employees taking congratulatory leave and special childbirth leave when their partner gives birth. Also includes those who make use of the short- or long-term leave system for employees raising a child through to the child entering elementary school.
  15. The basic salary includes allowances such as position allowances and sales allowances, which are based on the respective roles.
  16. Percentage of employees who have taken at least 30 consecutive days of leave due to injury or illness as at the fiscal year-end.
  17. Situation in which employees are present at work but their work performance has declined due to a health issue. Measured using the University of Tokyo’s Single-Item Presenteeism Question.
  18. Figures for fiscal 2021, fiscal 2022, fiscal 2023, fiscal 2024 and fiscal 2025 are based respectively on July 1, 2020; July 1, 2021; July 1, 2022; July 1, 2023; and July 1, 2024.
  19. Total number of directors, Audit & Supervisory Board members, executive officers, and executive fellows.
  20. Scopes 1 and 2 GHG emissions are calculated using the following formulas:
    Scope 1 GHG emissions: Fuel consumption × Heating value per unit × CO2 emission factor. The CO2 emission factor is based on the Act on Promotion of Global Warming Countermeasures. Scope 1 emissions increased compared to the previous fiscal year due to an expansion of the scope of data collection.(Fiscal 2023: 21companies→Fiscal 2024:41companies)
    Scope 2 GHG emissions: Consumption of electricity and steam × CO2 emission factor. The CO2 emission factor is based on the Act on Rationalizing Energy Use. For overseas electricity, however, we use the country-specific emission factors for GHG accounting published by the United Nations Framework Convention on Climate Change. Scope 2 emissions have decreased compared to the previous fiscal year due to the increased adoption of renewable energy.
  21. Scope 3 GHG emissions are calculated in accordance with the Ministry of the Environment’s Basic Guidelines on Accounting for Greenhouse Gas Emissions throughout the Supply Chain (Ver. 2.7). Past figures for Scope 3 GHG emissions have been recalculated to reflect the impact of key acquisitions and other events in accordance with “Chapter 5: Tracking Emissions Over Time” of The Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard.
  22. Renewable energy consumption is calculated by consumption of electricity distributed as green electricity from energy suppliers. Renewable energy utilization rate (%) is calculated using the following formula, rounded to the first decimal place. Renewable energy utilization rate (%): Renewable energy consumption (Mwh) ÷ Energy consumption (Electricity: MWh) × 100

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Update : September 30, 2025, 16:04