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.
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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
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Scope of data collection | Fiscal 2018 | Fiscal 2019 | Fiscal 2020 | Fiscal 2021 | Fiscal 2022 | Fiscal 2023 |
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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
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Scope of data collection | Fiscal 2018 | Fiscal 2019 | Fiscal 2020 | Fiscal 2021 | Fiscal 2022 | Fiscal 2023 |
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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 | |
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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:
- TIS INTEC Group (consolidated basis)
- TIS and consolidated subsidiaries in Japan
- 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)
- 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)
- TIS, INTEC, AGREX, QUALICA, AJS, TIS Solution Link, TIS System Service, and MFEC Public(from Fiscal 2021)
- TIS, INTEC, AGREX, QUALICA, AJS, , TIS Solution Link, and TIS System Service
- TIS, SorunPure, TIS Solution Link, TIS System Service, and TIS Business Service
- TIS
Notes:
- 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.
- 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.
- Percentage of respondents who gave a positive response to the statement "Generally, the company is a good place to work."
- Percentage of employees who have taken at least 30 consecutive days of leave due to injury or illness as at the fiscal year-end.
- 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.
- 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.
- 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. - 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.
- 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.