ESG data collection
Environment
CO₂ emissions [Scope 1 + 2] (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | |||
| Scope1+2 | Total | 71.6 | 83.2 | 83.3 | 87.2 | 81.0 | |
| Breakdown | Scope1 | Total | 16.5 | 17.7 | 19.3 | 19.1 | 20.2 |
| Japan | 11.6 | 12.0 | 13.0 | 13.8 | 14.1 | ||
| Overseas | 4.9 | 5.7 | 6.2 | 5.2 | 6.1 | ||
| Scope2 | Total | 55.0 | 65.5 | 64.0 | 68.1 | 60.8 | |
| Japan | 20.7 | 21.3 | 21.8 | 24.7 | 21.9 | ||
| Overseas | 34.4 | 44.2 | 42.2 | 43.4 | 38.9 | ||
*From fiscal year 2023, we have calculated greenhouse gas emissions other than CO₂ from energy and recorded them in Scope 1.
*Values from fiscal year 2020 onward have been retrospectively revised in line with the addition of consolidated subsidiary Guangzhou Mitsuike.
Breakdown of greenhouse gases other than CO₂ from energy sources (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Greenhouse gases other than CO2 from energy sources | - | - | - | 216 | 200 | |
| Breakdown | Carbon dioxide | - | - | - | 137 | 139 |
| Fluorocarbon gas | - | - | - | 28 | 4 | |
| CH₄ | - | - | - | 7 | 7 | |
| N₂O | - | - | - | 44 | 50 | |
Ministry of the Environment "List of calculation methods and emission factors under the calculation, reporting and disclosure system"
CO₂ per Unit of sales[Scope1+Scope2](global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | |
| Consolidated sales | 0.33 | 0.36 | 0.29 | 0.25 | 0.22 |
CO₂ emissions [Scope 3] (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Scope3 | 3,307.4 | 3,394.3 | 3,382.6 | 3,895.1 | 3,928.3 | |
| Breakdown | Category 1 Purchased goods and services | 1,585.3 | 1,779.6 | 1,885.0 | 2,258.2 | 2,064.3 |
| Category 2 Capital goods | 116.2 | 68.0 | 59.0 | 70.8 | 82.0 | |
| Category 3 Fuel-and energy-related activities (not included in scope 1 or scope 2) |
10.5 | 12.0 | 12.2 | 13.2 | 13.7 | |
| Category 4 Upstream transportation and distribution | 109.9 | 82.6 | 90.2 | 77.9 | 91.5 | |
| Category 5 Waste generated in operations | 1.9 | 2.3 | 1.8 | 2.1 | 1.9 | |
| Category 6 Business travel | 0.8 | 0.8 | 0.8 | 0.9 | 0.9 | |
| Category 7 Employee commuting | 5.5 | 5.8 | 5.7 | 5.8 | 5.9 | |
| Category 8 Upstream leased assets | Excluded from calculation (Recorded under Scope 1 and 2) | |||||
| Category 9 Downstream transportation and distribution | Excluded from calculation (Reasonable calculation is not possible) | |||||
| Category10 Processing of sold products | Excluded from calculation (Reasonable calculation is not possible) | |||||
| Category11 Use of sold products | 1,425.4* | 1,412.9* | 1,295.4* | 1,431.8* | 1,663.1* | |
| Category12 End-of-life treatment of sold products | 14.2 | 14.0 | 14.0 | 16.1 | 18.9 | |
| Category13 Downstream leased assets | Excluded from calculation (There is no external leasing of assets) | |||||
| Category14 Franchises | Excluded from calculation (There is no franchising) | |||||
| Category15 Investment | 37.7 | 16.4 | 18.5 | 18.2 | 16.0 | |
*Values for fiscal year 2021 have been revised in line with the addition of overseas bases.
*Calculation only of internal products (products designed internally).
Supply chain emissions (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Total(Scope1+Scope2+Scope3) | 3,378.9 | 3,477.6 | 3,465.9 | 3,982.3 | 4,009.3 | |
| Breakdown | Scope1 | 16.5 | 17.7 | 19.3 | 19.1 | 20.2 |
| Scope2 | 55.0 | 62.5 | 64.0 | 68.1 | 60.8 | |
| Scope3 | 3,307.4 | 3,394.3 | 3,382.6 | 3,895.1 | 3,928.3 | |
《Reference CO2 emissions intensity》
Scope1:Ministry of the Environment, “List of Calculation Methods and Emission Factors for Calculation, Reporting, and Publication Systems”.
Scope2:Domestic: Ministry of the Environment, “Emission Factor by Electric Utility Operator” Overseas: Factors published by local governments, IGES List, etc.
Scope3:IDEA v2.3 and Ministry of the Environment “Emissions Intensity Database”.
Energy consumption (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Energy consumption | Total | 686 | 773 | 803 | 840 | 870 |
| Japan | 356 | 358 | 387 | 426 | 427 | |
| Overseas | 329 | 415 | 416 | 414 | 443 | |
Electricity consumption (global)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Electricity consumption | Total | MWh | - | 132,459 | 133,485 | 147,511 | 150,817 |
| Renewable energy ratio | % | - | 0.0 | 0.2 | 2.8 | 9.2 | |
| Non-renewable energy | MWh | - | 132,459 | 133,226 | 143,329 | 136,904 | |
| Renewable energy (Private power generation) | MWh | - | 0 | 113 | 2,468 | 5,523 | |
| Renewable energy (PPA) | MWh | - | 0 | 146 | 1,547 | 4,337 | |
| Renewable energy electricity switchover | MWh | - | 0 | 0 | 97 | 3,805 | |
| Non-fossil certificates | MWh | - | 0 | 0 | 70 | 249 | |
Raw materials consumption (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Raw materials consumption | Total | - | 524,068 | 671,688 | 732,131 | 760,937 |
| Steel | - | 515,053 | 665,408 | 715,921 | 750,107 | |
| Aluminum | - | 9,015 | 6,280 | 16,210 | 10,831 | |
Amount of waste discharged (global)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Amount of waste discharged (non-hazardous waste) |
Total | ton | 2,938 | 3,355 | 2,644 | 3,264 | 3,119 |
| Recycled*1 | ton | 1,303 | 1,086 | 971 | 1,336 | 1,109 | |
| Non-recycled | ton | 1,635 | 2,269 | 1,673 | 1,928 | 2,010 | |
| Recycling ratio | % | 44.3 | 32.4 | 36.7 | 40.9 | 35.5 | |
| Japan | ton | 1,457 | 1,357 | 1,258 | 1,540 | 1,377 | |
| Overseas | ton | 1,480 | 1,998 | 1,386 | 1,724 | 1,741 | |
*The figures for fiscal year 2019 to fiscal year 2023 exclude valuables.
*1 Including thermal recycling.
Other environmental impact from production activities (global)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Water withdrawal (global) | Total | m³ | 185,803 | 173,780 | 185,085 | 189,266 | 192,886 |
| Japan | m³ | 58,741 | 51,484 | 62,878 | 70,533 | 70,454 | |
| Overseas | m³ | 127,062 | 122,296 | 122,207 | 118,733 | 122,432 | |
| BOD discharge in water areas *1 |
Total | ton | - | - | - | 0.2 | 0.9 |
| COD discharge in water areas *1 |
Total | ton | - | - | - | 3.6 | 4.4 |
| NOx (nitrogen oxide) emissions *2 |
Total | ton | - | 2.6 | 2.9 | 3.0 | 3.1 |
| SOx (sulfur oxide) emissions *2 |
Total | ton | - | 1.6 | 1.8 | 1.8 | 1.9 |
| VOC atmospheric emissions | Total | ton | - | - | - | 4.5 | 4.5 |
| Quantity of substances subject to PRTR handled | Japan | ton | 29 | 27 | 26 | 24 | 28 |
*1 Total of bases that require measurement (from fiscal year 2023)
*2 Subject: Fixed facilities
《Reference CO₂ emissions intensity》 National Institute for Environmental Studies “Fixed Source NOx, SOx, PM Emissions Factor Database”
Environmental fines (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Environmental fines and penalties | Total | - | - | - | 0 | 1,354 |
| Japan | - | - | - | 0 | 0 | |
| Overseas | - | - | - | 0 | 1,354 | |
Human resources
Employee data (global)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||||
| Consolidated employees | Total | People | 6,098 | 5,959 | 6,402 | 6,834 | 6,938 | ||
| Female | People | - | - | - | 676※ | 740※ | |||
| Female ratio | % | - | - | - | 9.9※ | 10.7※ | |||
| Breakdown | Employees in Japan | Total | People | 2,763 | 2,691 | 2,795 | 2,714 | 2,780 | |
| Male | People | - | - | - | 2,497 | 2,544 | |||
| Female | People | - | - | - | 217 | 236 | |||
| Female ratio | % | - | - | - | 8.0 | 8.5 | |||
| Employees overseas | Total | People | 3,335 | 3,268 | 3,607 | 4,120 | 4,158 | ||
| Female | People | - | - | - | 459※ | 504※ | |||
| Female ration | % | - | - | - | 25.0※ | 26.4※ | |||
| Management positions | Number of management positions | Total | People | - | - | - | 489 | 473 | |
| Male | People | - | - | - | 452 | 435 | |||
| Female | People | - | - | - | 37※ | 38※ | |||
| Ratio of female managers | % | - | - | - | 9.0※ | 9.9※ | |||
※Added the breakdown between men and women and the proportion of women from fiscal year 2023.
(Excludes U.S. bases because gender is not grasped from the perspective of gender equality)
Employee data (domestic group)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | |||
| Full-time employee | The number of People | Total | People | 2,763 | 2,691 | 2,795 | 2,714 | 2,714 |
| Male | People | - | - | - | 2,497 | 2,544 | ||
| Female | People | - | - | - | 217 | 236 | ||
| Quasi employees, contract employees, etc. |
The number of People | People | - | - | - | 471 | 419 | |
| Employees who resigned for personal reasons | Number of employees who resigned | People | - | - | - | 210 | 174 | |
| New graduate | Number of hires | People | - | - | - | 68 | 82 | |
| Management positions | Number of management positions | Total | People | - | - | - | 344 | 318 |
| male | People | - | - | - | 341 | 315 | ||
| Female | People | - | - | - | 3 | 3 | ||
| Ratio of female mangers | % | - | - | - | 0.9 | 0.9 | ||
| Employment of people with disabilities |
Number of people hired | People | - | - | - | 51 | 60 | |
| Use of the rehiring system |
Retirees | People | - | - | - | 43 | 67 | |
| Number of users of the system |
People | - | - | - | 39 | 67 | ||
| Childcare leave | Number of people taking leave |
People | - | - | - | 29 | 35 | |
Number of employees (non-consolidated)
| Unit | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | |||
| Full-time employee | Number of People | Total | People | 1,597 | 1,563 | 1,508 | 1,504 | 1,544 |
| Male | People | 1,497 | 1,461 | 1,406 | 1,399 | 1,429 | ||
| Female | People | 100 | 102 | 102 | 105 | 115 | ||
| Years of service |
Overall | Year | 14.5 | 14.9 | 15.5 | 15.6 | 15.1 | |
| Male | Year | 14.9 | 15.3 | 15.9 | 15.9 | 15.4 | ||
| Female | Year | 9.1 | 9.6 | 10.5 | 11.0 | 10.7 | ||
| Average age | Overall | Age | 38.0 | 38.6 | 39.1 | 39.5 | 39.3 | |
| Male | Age | 38.3 | 39.0 | 39.3 | 39.6 | 39.5 | ||
| Female | Age | 34.3 | 35.2 | 36.5 | 37.4 | 36.9 | ||
| Quasi employees, contract employees |
Number of People |
Total | People | 166 | 175 | 188 | 245 | 280 |
| Employees who resigned for personal reasons |
Number of employees who resigned for personal reasons |
People | 93 | 114 | 106 | 62 | 52 | |
| Turnover rate for personal reasons |
% | 5.8 | 7.3 | 7.0 | 4.1 | 3.4 | ||
| New graduate hires | Number of hires | Total | People | 79 | 41 | 37 | 32 | 57 |
| Male | People | 72 | 35 | 31 | 28 | 47 | ||
| Female | People | 7 | 6 | 6 | 4 | 10 | ||
| Female ratio | % | 8.9 | 14.6 | 16.2 | 12.5 | 17.5 | ||
| Mid-career hires | Mid-career ratio | % | 20.2 | 35.9 | 40.3 | 66.3 | 55.5 | |
| Management positions | Number of management positions |
Total | People | 180 | 194 | 183 | 196 | 188 |
| Male | People | 178 | 192 | 181 | 193 | 185 | ||
| Female | People | 2 | 2 | 2 | 3 | 3 | ||
| Ratio of female managers | % | 1.1 | 1.0 | 1.1 | 1.5 | 1.6 | ||
| Number of mid-career hires | People | 42 | 56 | 54 | 63 | 63 | ||
| Number of non-Japanese | People | 2 | 1 | 1 | 1 | 1 | ||
| Employment of people with disabilities |
Number of people hired |
People | 39 | 38 | 38 | 44 | 53 | |
| Employment ratio | % | 2.1 | 2.0 | 2.1 | 2.4 | 2.8 | ||
| Use of the rehiring system |
Retirees | People | 11 | 29 | 27 | 26 | 38 | |
| Number of users of the system |
People | 10 | 23 | 25 | 22 | 26 | ||
| Rate of use of the system |
% | 90.9 | 79.3 | 92.6 | 84.6 | 68.4 | ||
| Rate of taking of paid leave | % | 53.6 | 61.3 | 61.7 | 64.5 | 59.8 | ||
| Childcare leave | Number of people taking leave |
Total | People | 10 | 15 | 13 | 20 | 22 |
| Male | People | 3 | 8 | 9 | 18 | 18 | ||
| Female | People | 7 | 7 | 4 | 2 | 4 | ||
| Rate of taking leave |
Male | % | - | - | 20 | 41.9 | 47.4 | |
| Female | % | 100 | 100 | 80 | 100 | 100 | ||
| Rate of return | % | 100 | 100 | 100 | 100 | 100 | ||
| Annual hours worked per regular employee | Hours/Year | 2,098 | 2,098 | 2,099 | 2,176 | 2,184 | ||
| Training | Training expenses | 1 million yen | 15.7 | 17.7 | 17.0 | 18.4 | 21.9 | |
| Training expenses per employee |
Yen/People | 9,831 | 11,324 | 11,273 | 12,231 | 14,184 | ||
| Training time | Hours/Year | - | - | - | 9,663 | 27,321 | ||
| Training time per employee |
Hours/People | - | - | - | 6 | 18 | ||
| Labor union membership as a percentage of all employees |
% | 90.4 | 89.8 | 88.8 | 91.5 | 91.0 | ||
| Total number of discriminatory incidents during the reporting period |
Cases | - | - | 0 | 0 | 0 | ||
Male-female wage differences
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Topre | All workers | - | - | 64.3 | 65.0 | 66.7 |
| Full-time employees | - | - | 76.8 | 77.9 | 77.2 | |
| Contract employees, etc | - | - | 46.5 | 40.0 | 45.7 | |
| Topre Kyushu | All workers | - | - | 69.6 | 52.5 | 55.7 |
| Full-time employees | - | - | 76.6 | 79.7 | 85.3 | |
| Contract employees, etc | - | - | 74.7 | 11.4 | 2.4 | |
| Topre Tokai | All workers | - | - | 73.5 | 77.8 | 65.4 |
| Full-time employees | - | - | 74.7 | 77.9 | 61.6 | |
| Contract employees, etc | - | - | 62.8 | 43.5 | 67.1 | |
Safety and health
Occupational accidents (domestic group)
| CY2020 | CY2021 | CY2022 | CY2023 | CY2024 | |||
| Number of accidents resulting in death | Cases | 0 | 0 | 0 | 0 | 0 | |
| Occupational accident |
Number of incidents | Cases | 24 | 27 | 22 | 22 | 22 |
| Accidents accompanied by lost worktime |
Cases | 1 | 8 | 9 | 6 | 7 | |
| Accidents not accompanied by lost worktime |
Cases | 8 | 19 | 13 | 16 | 15 | |
| Lost worktime accident rate |
- | 0.14 | 1.14 | 1.35 | 0.82 | 0.90 | |
| Occupational accident rate |
- | 3.43 | 3.84 | 3.31 | 3.02 | 2.83 | |
| Accident severity rate | - | 0.02 | 0.05 | 0.06 | 0.02 | 0.05 | |
| Number of commuting accidents | Cases | 20 | 17 | 20 | 17 | 27 | |
* he value for each year is the number of occurrences from January 1 to December 31
* The number of occurrences was partially corrected.
(Addition of non-manufacturing divisions, correction of counting errors)
Accidents accompanied by lost worktime (non-consolidated)
| CY2020 | CY2021 | CY2022 | CY2023 | CY2024 | |||
| Number of accidents accompanied by lost worktime *3 | Severe accidents *2 | Cases | 0 | 0 | 0 | 0 | 0 |
| Accidents accompanied by lost worktime | Cases | 1 | 5 | 4 | 4 | 2 | |
| Lost worktime accident rate *3 *4 |
Topre (target) *5 | - | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | Topre (actual) | - | 0.24 | 1.24 | 1.11 | 1.04 | 0.48 |
| All Industries *6 | - | 1.95 | 2.09 | 2.06 | 2.14 | 2.10 | |
| Manufacturing Industries *6 | - | 1.21 | 1.31 | 1.25 | 1.29 | 1.30 | |
| Metal products manufacturing industry *6 | - | 1.28 | 1.20 | 1.32 | 1.38 | 1.23 | |
*The value for each year is the number of occurrences from January 1 to December 31
*2 Serious accidents: Work-related accidents involving death, physical disabilities, three or more injuries, explosions, fires, ruptures, collapses, or large-scale leakage of hazardous materials.
*3 Includes temporary and dispatch employees
*4 Accidents accompanied by lost worktime frequency rate = Number of persons affected by accidents accompanied by lost worktime owing to work-related accidents ÷ total actual work hours × 1 million hours
*5 The target for the accidents accompanied by lost worktime frequency rate has been 0.00 since fiscal year 2024
*6 Source: Cited from the Ministry of Health, Labour and Welfare’s “Survey on Industrial Accidents (calendar year)”
Safety and health education (domestic group)
| Unit | CY2020 | CY2021 | CY2022 | CY2023 | CY2024 | ||
| Number of people taking safety and health education |
Internal education | People | 255 | 200 | 274 | 358 | 1,671 |
| External education | People | 5 | 52 | 53 | 35 | 137 | |
Social contribution activities (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Social contribution activity expenses | Total | 12,109 | 14,166 | 10,817* | 14,021 | 19,562 |
| Japan | 2,555 | 4,865 | 3,500* | 6,960 | 4,930 | |
| Overseas | 9,554 | 9,301 | 7,317 | 7,061 | 14,632 | |
*Domestic expenses for fiscal year 2022 have been revised.
Compliance (domestic group)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | ||
| Number of cases of disciplinary treatment or firing related to corruption | Cases | 0 | 0 | 0 | 0 | 0 |
| Number of people subject to disciplinary treatment or firing related to corruption |
People | 0 | 0 | 0 | 0 | 0 |
| Fine and settlemaent expenses related to corruption |
1 million yen | 0 | 0 | 0 | 0 | 0 |
| Political donations | 1 million yen | 0 | 0 | 0 | 0 | 0 |
Intellectual property activities (global)
| FY2020 | FY2021 | FY2022 | FY2023 | FY2024 | |||
| Numbers of patent, utility model and design applications, and rights held |
Numbers of application |
Japan | 11 | 8 | 8 | 6 | 2 |
| Overseas | 15 | 8 | 4 | 14 | 3 | ||
| Number held | Japan | 116 | 123 | 113 | 104 | 107 | |
| Overseas | 101 | 113 | 119 | 114 | 117 | ||
Last updated:October 22, 2025
