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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 2018 Fiscal 2019 Fiscal 2020 Fiscal 2021 Fiscal 2022 Fiscal 2023
Number of employees A 19,877 19,483 19,744 21,817 21,709 21,946
Number of employees E 15,638 15,948 16,109 17,497 17,265 16,998
Number of male employees E 11,435 11,529 11,560 12,342 12,142 12,018
Number of female employees E 4,203 4,419 4,549 5,155 5,123 4,980
Percentage of female employees E 26.9% 27.7% 28.2% 29.5% 29.7% 29.3%
Number of non-Japanese employees E 156 155 155 1,161 1,379 1,430
Number of employees B - - - - 19,498 19,573
Number of male employees B - - - - 14,017 13,959
Number of female employees B - - - - 5,481 5,614
Percentage of female employees B - - - - 28.1% 28.7%
Percentage of mid-career hires B - - - - 24.0% 23.2%
Age composition: 24 and younger (persons) B - - - - - 1,297
Age composition: 25–29 (persons) B - - - - - 3,175
Age composition: 30–34 (persons) B - - - - - 2,005
Age composition: 35–39 (persons) B - - - - - 2,811
Age composition: 40–44 (persons) B - - - - - 2,836
Age composition: 45–49 (persons) B - - - - - 2,789
Age composition: 50–54 (persons) B - - - - - 2,396
Age composition: 55–59 (persons) B - - - - - 1,882
Age composition: 60 and older (persons) B - - - - - 382
Average age F 38.7 38.9 39.1 39.2 40.0 40.1
Average age of male employees F 39.9 40.0 40.3 40.5 41.3 41.4
Average age of female employees F 35.6 35.9 36.0 36.1 37.0 36.8
Average age B - - - - 40.1 40.3
Average age of male employees B - - - - 41.3 41.5
Average age of female employees B - - - - 37.1 37.3
Average length of service (years) F 14.4 12.9 12.8 13.3 14.2 14.3
Average length of service of male employees (years) F 15.5 13.7 14.0 14.2 15.0 15.2
Average length of service of female employees (years) F 11.5 10.8 11.0 11.2 12.2 12.1
Average length of service (years) B - - - - 14.2 14.0
Average length of service of male employees (years) B - - - - 15.1 15.1
Average length of service of female employees (years) B - - - - 11.9 11.4
Difference between average length of service of male and female employees (years) B - - - - 3.2 3.7
Number of employees in management positions F 3,328 3,443 3,609 3,782 3,836 3,887
Number of male employees in management positions F 3,056 3,147 3,278 3,410 3,440 3,465
Number of female employees in management positions F 272 296 331 372 396 422
Percentage of female employees in management positions F 8.2% 8.6% 9.2% 9.8% 10.3% 10.9%
Number of employees in management positions B - - - - 4,454 4,570
Number of male employees in management positions B - - - - 3,997 4,067
Number of female employees in management positions B - - - - 457 503
Percentage of female employees in management positions B - - - - 10.3% 11.0%
Percentage of employees with a disability (Note 2) G 1.97% 2.14% 2.28% 2.35% 2.40% 2.30%
Number of new graduate recruits F 521 700 663 720 679 679
Percentage of new female graduate recruits F 33.2% 34.4% 32.4% 36.5% 39.0% 35.2%
Number of new graduate recruits B - - - - 821 806
Number of new male graduate recruits B - - - - 503 522
Number of new female graduate recruits B - - - - 318 284
Percentage of new female graduate recruits B - - - - 38.7% 35.2%
Number of mid-career hires F 266 339 386 271 233 236
Percentage of female mid-career hires F 38.3% 35.1% 29.0% 31.0% 30.5% 26.7%
Number of mid-career hires B - - - - 322 312
Number of male mid-career hires B - - - - 220 218
Number of female mid-career hires B - - - - 102 94
Percentage of female mid-career hires B - - - - 31.7% 30.1%
Turnover rate F 4.6% 4.8% 5.0% 3.3% 3.7% 3.9%
Turnover rate B - - - - 4.0% 4.0%
Results of employee awareness surveys (Note 3) F - - 38% 46% 51% 52%
Absenteeism (Note 4) F - - - - 1.0% 1.0%
Absenteeism (Note 4) B - - - - 1.0% 1.0%
Presenteeism (Note 5) F - - - - - 23.3%
Average total working hours per month F 168.4 166.4 162.6 162.9 164.0 164.7
Average total working hours per month B - - - - 156.2 162.7
Average monthly overtime hours F - - - - 17.5 18.5
Average monthly overtime hours B - - - - 16.4 17.3
Average monthly overtime hours exceeding 45 hours (persons) F - - - - 931 1,019
Average monthly overtime hours exceeding 45 hours (persons) B - - - - 994 1,113
Average monthly overtime hours exceeding 60 hours (persons) B - - - - - 24
Percentage of annual paid leave taken F 67.6% 73.0% 75.7% 66.3% 64.4% 69.0%
Percentage of annual paid leave taken B - - - - 63.2% 68.2%
Number of employees taking long-term childcare leave (Note 6) F 463 447 467 537 589 248
Number of male employees taking long-term childcare leave (Note 6) F 27 38 53 80 106 110
Number of employees taking long-term childcare leave (Note 6) B - - - - 659 299
Number of male employees taking long-term childcare leave (Note 6) B - - - - 126 135
Percentage of male employees taking long-term childcare leave B - - - - - 43.4%
Number of male employees taking short- or long-term childcare leave (Note 6) B - - - - - 236
Percentage of male employees taking short- or long-term childcare leave B - - - - - 75.9%
Number of female employees taking long-term childcare leave (Note 6) B - - - - - 164
Percentage of female employees taking long-term childcare leave B - - - - - 91.6%
Number of employees taking shortened working hours for childcare F 670 681 679 638 677 633
Number of male employees taking shortened working hours for childcare F 12 9 10 9 13 9
Number of employees taking shortened working hours for childcare B - - - - 746 734
Number of male employees taking shortened working hours for childcare B - - - - 17 12
Number of female employees taking shortened working hours for childcare B - - - - - 722
Number of employees taking long-term nursing care leave E 13 13 19 9 19 10
Number of employees taking long-term nursing care leave B - - - - 23 13
Number of male employees taking long-term nursing care leave B - - - - - 7
Number of female employees taking long-term nursing care leave B - - - - - 6
Number of employees taking shortened working hours for nursing care F 3 3 6 6 2 2
Number of employees taking shortened working hours for nursing care B - - - - 4 4
Number of male employees taking shortened working hours for nursing care B - - - - - 3
Number of female employees taking shortened working hours for nursing care B - - - - - 1
Spending on learning and research (millions of yen) F 1,702 1,805 1,915 1,534 1,863 2,059
Number of days spent on learning and research per person per annum F - 8.1 10.8 11.2 13.3 14.2
Number of days spent on learning and research per person per annum B - - - - 11.7 12.5

Environmental data


Scope of data collection Fiscal 2018 Fiscal 2019 Fiscal 2020 Fiscal 2021 Fiscal 2022 Fiscal 2023
Scope 1 GHG emissions (t-CO2) (Note 7) D 958 885 745 760 513 481
Scope 2 GHG emissions (t-CO2) (Note 7) D 78,125 71,096 64,488 65,867 64,157 53,076
Scope 3 GHG emissions (t-CO2) (Note 8) C - - 428,977 441,687 418,761 465,226
- Category 1 (purchased goods and services) C - - 339,133 323,087 333,379 386,392
- Category 2 (capital goods) C - - 59,103 90,068 57,694 48,317
- Category 3 (fuel-and energy-related activities) C - - 10,165 10,106 10,269 9,026
- Category 4 (upstream transport and delivery) C - - 8,488 7,433 8,215 11,392
- Category 5 (waste generated in operations) C - - 1,162 361 703 580
- Category 6 (business travel) C - - 2,465 2,549 2,449 2,752
- Category 7 (employee commuting) C - - 8,461 8,083 6,052 6,766
Energy consumption (Electricity: MWh) D 157,623 149,523 143,383 141,620 139,560 143,909
Energy consumption (Fuel oil: kL) D 28 32 25 21 25 27
Energy consumption (Light oil: kL) D 11 10 0 0 0 0
Energy consumption (City gas: km3) D 379 343 302 313 199 188
Energy consumption (Liquefied petroleum gas: km3) D - - - - 0 0
Energy consumption (Kerosene: kL) D - - - 1 0 0
Energy consumption (Steam: GJ) D - - - 1,301 19,116 19,807
Industrial waste (ton) F - - 1,035 290 472 188

Other non-financial data


Scope of data collection Fiscal 2018 Fiscal 2019 Fiscal 2020 Fiscal 2021 Fiscal 2022 Fiscal 2023
Social contribution expenses (millions of yen) H 115 143 99 80 70 77
Social contribution expenses (millions of yen) A - - - - - 89
Political contributions (10 thousands of yen) H 0 0 0 0 0 0
Political contributions (10 thousands of yen) B 0 0 0 0 27 32
Number of serious information security incidents B - - - - 0 0
Number of employees receiving regular training on information security B - - - - 18,542 25,369
Number of reports of leaks, etc. to supervisory authorities of the Personal Information Protection Law B - - - - 0 4
Number of requests for disclosure of information related to personal information B - - - - 1 3
Number of helpline calls: Calls received H - - 7 8 13 4
Number of helpline calls: Cases investigated H - - 7 8 12 4
Number of helpline calls: Case involving corrective action H - - 4 4 8 3
Development loss rate A 0.9% 0.9% 0.6% 0.8% 0.7% 0.1%
Results of customer satisfaction surveys H 69.1% 68.2% 72.7% 69.0% 71.7% 69.6%
Number of directors (note 9) H 10 9 9 9 9 9
Number of female directors (Note 9) H 0 1 1 1 1 1
Percentage of female directors (Note 9) H 0.0% 11.1% 11.1% 11.1% 11.1% 11.1%
Number of external directors (Note 9) H 3 3 3 3 3 3
Percentage of external directors (Note 9) H 30.0% 33.3% 33.3% 33.3% 33.3% 33.3%

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 (including regional performance and consolidation adjustments in 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
Overseas Fiscal 2022 24,838 855 265 180 2,312
Fiscal 2023 30,086 4,045 356 509 2,496
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

Scope of data collection:

  1. TIS INTEC Group (consolidated basis)
  2. TIS and consolidated subsidiaries in Japan
  3. TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, TIS System Service, IUK, INTEC Solution Power, ULTRA(from May 2022), KOUSHI INTEC, TIS Chiyoda systems(from October 2020), TIS Tohoku, TIS Nagano, TIS West Japan, TIS Hokkaido, Registration Network, Nexway, Hokkoku INTEC Service, MicroMates, Miotsukushi Analytics(from August 2020), SKY INTEC, TIS Business Service, SorunPure, MFEC Public(from April 2022), Business Application(from April, 2022), Motif Technology Public(from April 2022), Hongson(from April 2022), MISO Digital(from April 2022 ), Prain Fintech(from April, 2022), Msyne Innovations(from April, 2022), Playtorium Solutions(from April 2022), and Data Café(from April, 2022 to June, 2022)
  4. TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, TIS System, TIS Tohoku, TIS Nagano, TIS West Japan, TIS Hokkaido, TIS Business Service, SorunPure, MFEC Public(from April 2022), Business Application(from April, 2022), Motif Technology Public(from April 2022), Hongson(from April 2022), MISO Digital(from April 2022 ), Prain Fintech(from April, 2022), Msyne Innovations(from April, 2022), Playtorium Solutions(from April 2022), and Data Café(from April, 2022 to June, 2022)
  5. TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, TIS System Service, and MFEC Public(from Fiscal 2021)
  6. TIS, INTEC, AGREX, QUALICA, AJS, , TIS Solution Link, and TIS System Service
  7. TIS, SorunPure, TIS Solution Link, TIS System Service, and TIS Business Service
  8. TIS

Notes:

  1. Figures for fiscal 2018, fiscal 2019, fiscal 2020, fiscal 2021, fiscal 2022, and fiscal 2023 are based respectively on April 1, 2018; April 1, 2019; April 1, 2020; April 1, 2021; March 31, 2022, and March 31, 2023.
  2. Figures for fiscal 2018, fiscal 2019, fiscal 2020, fiscal 2021, fiscal 2022, and fiscal 2023 are based respectively on June 1, 2017; June 1, 2018; June 1, 2019; June 1, 2020, June 1, 2021, and June 1, 2022.
  3. Percentage of respondents who gave a positive response to the statement "Generally, the company is a good place to work."
  4. Percentage of employees who have taken at least 30 consecutive days of leave due to injury or illness as at the fiscal year-end.
  5. 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.
  6. The number of employees taking long-term childcare leave in 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.
  7. 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 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 released by the United Nations Framework Convention on Climate Change.
  8. 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. 2.4). 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.
  9. Figures for fiscal 2018, fiscal 2019, fiscal 2020, fiscal 2021, fiscal 2022, and fiscal 2023 are based respectively on June 30, 2017; June 30, 2018; June 30, 2019; June 30, 2020; June 30, 2021, and June 30, 2022.

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Update : October 17, 2023, 14:53