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 2020 | Fiscal 2021 | Fiscal 2022 | Fiscal 2023 | Fiscal 2024 |
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Number of employees (Note 2) | A | 19,744 | 21,817 | 21,709 | 21,946 | 21,972 |
Number of non-Japanese employees | A | - | - | 2,477 | 2,517 | 2,239 |
Number of employees | B | - | - | 19,498 | 19,573 | 20,010 |
Number of male employees | B | - | - | 14,017 | 13,959 | 14,200 |
Number of female employees | B | - | - | 5,481 | 5,614 | 5,810 |
Percentage of female employees | B | - | - | 28.1% | 28.7% | 29.0% |
Percentage of mid-career hires | B | - | - | 24.0% | 23.2% | 24.2% |
Age composition: younger than 18 (persons) | B | - | - | 0 | 0 | 0 |
Age composition: 18–24 (persons) | B | - | - | 1,368 | 1,297 | 1,329 |
Age composition: 25–29 (persons) | B | - | - | 3,013 | 3,175 | 3,420 |
Age composition: 30–34 (persons) | B | - | - | 2,089 | 2,005 | 2,031 |
Age composition: 35–39 (persons) | B | - | - | 2,938 | 2,811 | 2,662 |
Age composition: 40–44 (persons) | B | - | - | 2,923 | 2,836 | 2,749 |
Age composition: 45–49 (persons) | B | - | - | 2,643 | 2,789 | 2,972 |
Age composition: 50–54 (persons) | B | - | - | 2,483 | 2,396 | 2,294 |
Age composition: 55–59 (persons) | B | - | - | 1,752 | 1,882 | 2,082 |
Age composition: 60 and older (persons) | B | - | - | 289 | 382 | 471 |
Average age | B | - | - | 40.1 | 40.3 | 40.4 |
Average age of male employees | B | - | - | 41.3 | 41.5 | 41.6 |
Average age of female employees | B | - | - | 37.1 | 37.3 | 37.5 |
Average length of service (years) | B | - | - | 14.2 | 14.0 | 14.2 |
Average length of service of male employees (years) | B | - | - | 15.1 | 15.1 | 15.3 |
Average length of service of female employees (years) | B | - | - | 11.9 | 11.4 | 11.6 |
Difference between average length of service of male and female employees (years) | B | - | - | 3.2 | 3.7 | 3.6 |
Number of employees in management positions (Note 3) | B | - | - | 4,454 | 4,570 | 4,470 |
Number of male employees in management positions | B | - | - | 3,997 | 4,067 | 3,942 |
Number of female employees in management positions | B | - | - | 457 | 503 | 528 |
Percentage of female employees in management positions | B | - | - | 10.3% | 11.0% | 11.8% |
Number of employees at department manager level or above | B | - | - | 564 | 599 | 593 |
Number of male employees at department manager level or above | B | - | - | 533 | 567 | 565 |
Number of female employees at department manager level or above | B | - | - | 31 | 32.0 | 28 |
Percentage of female employees at department manager level or above | B | - | - | 5.50% | 5.30% | 4.70% |
Number of employees at section manager level | B | - | - | 3,890 | 3,971 | 3,877 |
Number of male employees at section manager level | B | - | - | 3,464 | 3,500 | 3,377 |
Number of female employees at section manager level | B | - | - | 426 | 471 | 500 |
Percentage of female employees at section manager level | B | - | - | 11.0% | 11.9% | 12.9% |
Number of employees in management positions in revenue-generating functions | B | - | - | 3,652 | 3,797 | 3,781 |
Number of male employees in management positions in revenue-generating functions | B | - | - | 3,318 | 3,428 | 3,391 |
Number of female employees in management positions in revenue-generating functions | B | - | - | 334 | 369 | 390 |
Percentage of female employees in management positions in revenue-generating functions | B | - | - | 9.1% | 9.7% | 10.3% |
Number of employees in STEM-related positions (Note 4) | B | - | - | 12,210 | 12,196 | 12,125 |
Number of male employees in STEM-related positions | B | - | - | 9,233 | 9,158 | 9,087 |
Number of female employees in STEM-related positions | B | - | - | 2,977 | 3,038 | 3,038 |
Parcentage of female employees in STEM-related positions | B | - | - | 24.4% | 24.9% | 25.1% |
Number of consultans | B | - | 250 | 300 | 420 | 510 |
Percentage of employees with a disability (Note5) | F | 2.28% | 2.35% | 2.40% | 2.30% | 2.18% |
Number of new graduate recruits | B | 773 | 861 | 821 | 806 | 836 |
Number of new male graduate recruits | B | 517 | 551 | 503 | 522 | 539 |
Number of new female graduate recruits | B | 256 | 310 | 318 | 284 | 297 |
Percentage of new female graduate recruits | B | 33.1% | 36.0% | 38.7% | 35.2% | 35.5% |
Number of mid-career hires | B | 465 | 363 | 322 | 312 | 368 |
Number of male mid-career hires | B | 322 | 257 | 220 | 218 | 246 |
Number of female mid-career hires | B | 143 | 106 | 102 | 94 | 122 |
Percentage of female mid-career hires | B | 30.8% | 29.2% | 31.7% | 30.1% | 33.2% |
Turnover rate | B | - | 3.40% | 4.0% | 4.0% | 4.1% |
Retention rate after 3 years of joining the company as a new graduate | B | - | - | 85.4% | 85.2% | 84.3% |
Job satisfaction (Note 6) | B | - | - | 51% | 52% | 52% |
Absenteeism (Note 7) | B | - | - | 1.0% | 1.0% | 1.0% |
Average total working hours per month | B | - | - | 156.2 | 162.7 | 165.8 |
Average monthly overtime hours | B | - | - | 16.4 | 17.3 | 17.2 |
Number of employees whose average monthly non-statutory working hours are 45 hours or more | B | - | - | 994 | 1,113 | 1,032 |
Percentage of employees whose average monthly non-statutory working hours are 45 hours or more | B | - | - | 5.1% | 5.7% | 5.2% |
Number of employees whose average monthly non-statutory working hours are 60 hours or more | B | - | - | 48 | 24 | 34 |
Percentage of annual paid leave taken | B | - | - | 63.2% | 68.2% | 68.5% |
Average number of days of paid leave taken | B | - | - | - | - | 13.1 |
Number of male employees taking long-term childcare leave (Note 8) | B | - | - | 126 | 135 | 160 |
Percentage of male employees taking long-term childcare leave | B | - | - | - | 43.4% | 49.8% |
Number of male employees taking short- or long-term childcare leave (Note 8, 9) | B | - | - | - | 236 | 257 |
Percentage of male employees taking short- or long-term childcare leave | B | - | - | - | 75.9% | 80.1% |
Number of female employees taking long-term childcare leave (Note 8) | B | - | - | - | 164 | 224 |
Percentage of female employees taking long-term childcare leave | B | - | - | - | 91.6% | 106.7% |
Number of employees taking shortened working hours for childcare | B | - | - | 746 | 734 | 744 |
Number of male employees taking shortened working hours for childcare | B | - | - | 17 | 12 | 22 |
Number of female employees taking shortened working hours for childcare | B | - | - | - | 722 | 722 |
Number of employees taking long-time nursing care leave | B | - | - | 23 | 13 | 20 |
Number of male employees taking long-time nursing care leave | B | - | - | - | 7 | 8 |
Number of female employees taking long-time nursing care leave | B | - | - | - | 6 | 12 |
Number of employees taking shortened working hours for nursing care | B | - | - | 4 | 4 | 3 |
Number of male employees taking shortened working hours for nursing care | B | - | - | - | 3 | 2 |
Number of female employees taking shortened working hours for nursing care | B | - | - | - | 1 | 1 |
Spending on training and development for employee (milion yen) | B | - | - | 2,052 | 2,259 | 2,378 |
Spending on training and development for employee per person per annum (yen) | B | - | - | 105,254 | 115,401 | 118,835 |
Number of days spent on learning and research per person per annum | B | - | - | 11.7 | 12.5 | 12.1 |
Environmental data
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Scope of data collection | Fiscal 2020 | Fiscal 2021 | Fiscal 2022 | Fiscal 2023 | Fiscal 2024 |
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Scope 1 GHG emissions (t-CO2) (Note 10) | D | 745 | 760 | 513 | 481 | 444 |
Scope 2 GHG emissions (t-CO2) (Note10) | D | 64,488 | 65,867 | 64,157 | 53,076 | 25,572 |
Scope 3 GHG emissions (t-CO2) (Note 11) | C | 428,977 | 441,687 | 418,761 | 465,226 | 511,036 |
- Category 1 (purchased goods and services) | C | 339,133 | 323,087 | 333,379 | 386,392 | 444,540 |
- Category 2 (capital goods) | C | 59,103 | 90,068 | 57,694 | 48,317 | 38,135 |
- Category 3 (fuel-and energy-related activities) | C | 10,165 | 10,106 | 10,269 | 9,026 | 4,624 |
- Category 4 (upstream transport and delivery) | C | 8,488 | 7,433 | 8,215 | 11,392 | 12,523 |
- Category 5 (waste generated in operations) | C | 1,162 | 361 | 703 | 580 | 805 |
- Category 6 (business travel) | C | 2,465 | 2,549 | 2,449 | 2,752 | 2,751 |
- Category 7 (employee commuting) | C | 8,461 | 8,083 | 6,052 | 6,766 | 7,658 |
Energy consumption (Electricity: MWh) | D | 143,383 | 141,620 | 139,560 | 143,909 | 138,511 |
Energy consumption (Fuel oil: kL) | D | 25 | 21 | 25 | 27 | 27 |
Energy consumption (Light oil: kL) | D | 0 | 0 | 0 | 0 | 0 |
Energy consumption (City gas: km3) | D | 302 | 313 | 199 | 188 | 170 |
Energy consumption (Liquefied petroleum gas: km3) | D | - | - | 0 | 0 | 0 |
Energy consumption (Kerosene: kL) | D | - | 1 | 0 | 0 | 0 |
Energy consumption (Steam: GJ) | D | - | 1,301 | 19,116 | 19,807 | 3,343 |
Renewable energy consumption (MWh) (Note 12) | D | - | - | - | - | 78,544 |
Renewable energy utilization rate | D | - | - | - | - | 56.70% |
Industrial waste (ton) | E | 1,035 | 290 | 472 | 188 | 291 |
Other non-financial data
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Scope of data collection | Fiscal 2020 | Fiscal 2021 | Fiscal 2022 | Fiscal 2023 | Fiscal 2024 |
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Social contribution expenses (millions of yen) | H | 99 | 80 | 70 | 77 | 85 |
Social contribution expenses (millions of yen) | A | - | - | - | 89 | 139 |
Political contributions (10 thousands of yen) | H | 0 | 0 | 0 | 0 | 0 |
Political contributions (10 thousands of yen) | B | 0 | 0 | 27 | 32 | 26 |
Number of serious information security incidents | B | - | - | 0 | 0 | 0 |
Number of employees receiving regular training on information security | B | - | - | 18,542 | 25,369 | 27,188 |
Number of reports of leaks, etc. to supervisory authorities of the Personal Information Protection Law | B | - | - | 0 | 4 | 2 |
Number of requests for disclosure of information related to personal information | B | - | - | 1 | 3 | 1 |
Number of helpline calls: Calls received | H | 7 | 8 | 13 | 4 | 9 |
those related to harassment | H | - | - | - | - | 2 |
those related to bribery | H | - | - | - | - | 0 |
Number of helpline calls: Cases investigated | H | 7 | 8 | 12 | 4 | 9 |
those related to harassment | H | - | - | - | - | 2 |
those related to bribery | H | - | - | - | - | 0 |
Number of helpline calls: Case involving corrective action | H | 4 | 4 | 8 | 3 | 6 |
those related to harassment | H | - | - | - | - | 2 |
those related to bribery | H | - | - | - | - | 0 |
Development loss | A | 1,427 | 1,938 | 1,845 | 404 | 4,002 |
Development loss rate | A | 0.6% | 0.8% | 0.7% | 0.1% | 1.4% |
Results of customer satisfaction surveys | H | 72.7% | 69.0% | 71.7% | 69.6% | 85.6% |
Business partner satisfaction | G | - | - | - | - | 77% |
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 | 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 | |
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 | |
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 |
Scope of data collection:
- TIS INTEC Group (consolidated basis)
- 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.
- 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), 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 (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), 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, and TIS System Service
- TIS, SorunPure, TIS Solution Link, TIS System Service, and TIS Business Service
- TIS, and INTEC
- TIS
Notes:
- Figures for fiscal 2020, fiscal 2021, fiscal 2022, fiscal 2023 and fiscal 2024 are based respectively on April 1, 2020; April 1, 2021; March 31, 2022; March 31, 2023; and March 31, 2024. 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.
- The number of employees is based on the definition provided in the Securities Report stipulated by the Financial Services Agency, the Japanese Government.
- An employee at section manager level or above is defined as employee in management position.
- Employees in STEM-related positions consist of System engineers and programmers.
- Figures for fiscal 2020, fiscal 2021, fiscal 2022, fiscal 2023, and fiscal 2024 are based respectively on June 1, 2019; June 1, 2020; June 1, 2021; June 1, 2022; and June 1, 2023.
- 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.
- Percentage of employees who have taken at least 30 consecutive days of leave due to injury or illness as at the fiscal year-end.
- 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.
- 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.
- 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 2 emissions have decreased compared to the previous fiscal year due to the increased adoption of renewable energy. - 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. 2.6). 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. Category 1 increased compared to the previous fiscal year due to the increase in our sales and profits, category 2 decreased compared to the previous fiscal year due to changes in capital investments mainly in software, and category 3 decreased due to the progress in the introduction of renewable energy.
- 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