ESG data collection
Environment
CO₂ emissions [Scope 1 + 2] (global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |||
Scope1+2 | total | 67.6 | 68.8 | 80.2 | 80.4 | 84.7 | |
breakdown | Scope1 | total | 16.4 | 16.5 | 17.7 | 19.3 | 19.1 |
Japan | 11.6 | 11.6 | 12.0 | 13.0 | 13.8 | ||
Overseas | 4.8 | 4.9 | 5.7 | 6.2 | 5.2 | ||
Scope2 | total | 51.2 | 52.3 | 62.5 | 61.1 | 65.6 | |
Japan | 20.2 | 20.6 | 21.3 | 21.8 | 24.7 | ||
Overseas | 31.0 | 31.7 | 41.3 | 39.3 | 40.9 |
*: From fiscal year 2023, we have calculated non-energy origin greenhouse gas emissions and recorded 0.2 thousand t-CO2 in Scope 1.
CO₂ per unit of sales[Scope1+Scope2](global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |
Consolidated sales | 0.32 | 0.32 | 0.34 | 0.28 | 0.24 |
CO₂ emissions [Scope 3] (global)
FY2021 | FY2022 | FY2023 | ||
Scope3 | 3,394.3 | 3,382.6 | 3,895.8 | |
breakdown | Category 1 Purchased goods and services | 1,779.6 | 1,885.0 | 2,258.2 |
Category 2 Capital goods | 68.0 | 59.0 | 70.8 | |
Category 3 Fuel-and energy-related activities (not included in scope 1 or scope 2) |
12.0 | 12.2 | 13.2 | |
Category 4 Upstream transportation and distribution | 82.6 | 90.2 | 77.9 | |
Category 5 Waste generated in operations | 2.3 | 1.8 | 2.1 | |
Category 6 Business travel | 0.8 | 0.8 | 0.9 | |
Category 7 Employee commuting | 5.8 | 5.7 | 6.5 | |
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 | 1,412.9* | 1,295.4* | 1,431.8* | |
Category12 End-of-life treatment of sold products | 14.0 | 14.0 | 16.1 | |
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 | 16.4 | 18.5 | 18.2 |
*Figures for fiscal year fiscal year 2021 were revised due to the addition of overseas bases.
*Calculation only of internal products (products designed internally).
Supply chain emissions (global)
FY2021 | FY2022 | FY2023 | ||
Total(Scope1+Scope2+Scope3) | 3,474.6 | 3,463.0 | 3,980.5 | |
Scope1 | 17.7 | 19.3 | 19.1 | |
Scope2 | 62.5 | 61.1 | 65.6 | |
Scope3 | 3,394.3 | 3,382.6 | 3,895.8 |
《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)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Energy consumption | total | 649 | 673 | 760 | 789* | 827 |
Japan | 344 | 355 | 357 | 398 | 426 | |
Overseas | 306 | 317 | 402 | 403 | 401 |
*There are errors in historical data and they have been corrected.
Raw material usage (global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Raw material usage | total | - | - | 524,068 | 671,688 | 732,131 |
steel | - | - | 515,053 | 665,408 | 715,921 | |
aluminium | - | - | 9,015 | 6,280 | 16,210 |
Waste emissions (global)
unit | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Waste emissions (excluding valuable waste) |
total | ton | 1,586 | 2,938 | 3,355 | 2,644 | 3,264 |
recycle *1 | ton | 1,087 | 1,303 | 1,086 | 971 | 1,336 | |
non-recycle | ton | 499 | 1,635 | 2,269 | 1,673 | 1,928 | |
recycle rate | % | 68.5 | 44.3 | 32.4 | 36.7 | 40.9 | |
Japan | ton | 1,586 | 1,457 | 1,357 | 1,258 | 1,540 | |
Overseas *2 | ton | - | 1,480 | 1,998 | 1,386 | 1,724 |
*The figures for fiscal year 2019 to fiscal year 2023 exclude valuables.
*1 Including thermal recycling.
*2 Overseas bases will start in fiscal year 2020.
Environmental Impact of Other Production Activities (global)
unit | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Water withdrawal (global) | total | m³ | 58,010 | 185,803 | 173,780 | 185,085 | 201,094 |
Japan | m³ | 58,010 | 58,741 | 51,484 | 62,878 | 70,533 | |
Overseas*1 | m³ | - | 127,062 | 122,296 | 122,207 | 130,561 | |
BOD emissions into water bodies*2 | total | ton | - | - | - | - | 0.2 |
COD emissions into water bodies*2 | total | ton | - | - | - | - | 3.6 |
NOx emissions*3 | total | ton | - | - | 2.6 | 2.9 | 3.0 |
SOx emissions*3 | total | ton | - | - | 1.6 | 1.8 | 1.8 |
Quantity of substances subject to PRTR handled |
Japan | ton | 35 | 29 | 27 | 26 | 24 |
*1 Overseas bases from fiscal year 2020.
*2 Total number of locations requiring measurements, from fiscal year 2023.
*3 Subject: Stationary facilities
《Reference CO2 emissions intensity》National Institute for Environmental Studies, Japan "Fixed Sources NOx,SOx,PM Emission Factor Database"
Environmental fines (global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Environmental fines and penalties | total | - | - | - | - | 0 |
Japan | - | - | - | - | 0 | |
Overseas | - | - | - | - | 0 |
Human resources
Number of employees (global)
unit | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |||
Number of consolidated employees | people | 5,546 | 6,098 | 5,959 | 6,402 | 6,834 | ||
breakdown | Number of employees in Japan | total | people | 2,737 | 2,763 | 2,691 | 2,795 | 2,714 |
Male | people | - | - | - | - | 2,497 | ||
Female | people | - | - | - | - | 217 | ||
Percentage of female | % | - | - | - | - | 8.0 | ||
Number of employees overseas | total | people | 2,809 | 3,335 | 3,268 | 3,607 | 4,120 | |
Female | people | - | - | - | - | 459* | ||
Percentage of female | % | - | - | - | - | 25.0* |
*Gender breakdown and percentage of women were added beginning in FY2023.
(U.S. locations are excluded from the number of women and the percentage of women because their gender is unidentified from the perspective of gender equality.)
Number of employees (Japan Domestic Group)
unit | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |||
Full-time employee | The number of people | total | people | 2,737 | 2,763 | 2,691 | 2,795 | 2,714 |
Male | people | - | - | - | - | 2,497 | ||
Female | people | - | - | - | - | 217 | ||
Quasi employees, contract employees, etc. |
The number of people |
people | - | - | - | - | 471 | |
Job leavers | Number of job leavers |
people | - | - | - | - | 210 | |
New graduate | Number of new graduate employees |
people | - | - | - | - | 68 | |
Manager | Number of managers |
total | people | - | - | - | - | 344 |
male | people | - | - | - | - | 341 | ||
Female | people | - | - | - | - | 3 | ||
employees with disabilitie |
Number of employees with disabilities |
people | - | - | - | - | 51 | |
users of rehiring system |
Retirees | people | - | - | - | - | 43 | |
Number of users of rehiring system |
people | - | - | - | - | 39 | ||
employees taking childcare leave |
Number of employees taking childcare leave |
people | - | - | - | - | 47 |
Number of employees (non-consolidated)
unit | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |||
Full-time employee | The number of people | total | people | 1,535 | 1,597 | 1,563 | 1,508 | 1,504 |
Male | people | 1,441 | 1,497 | 1,461 | 1,406 | 1,399 | ||
Female | people | 94 | 100 | 102 | 102 | 105 | ||
years of service |
whole | year | 14.4 | 14.5 | 14.9 | 15.5 | 15.6 | |
Male | year | 14.8 | 14.9 | 15.3 | 15.9 | 15.9 | ||
Female | year | 8.8 | 9.1 | 9.6 | 10.5 | 11.0 | ||
Average age | whole | age | 37.7 | 38.0 | 38.6 | 39.1 | 39.5 | |
Male | age | 38.0 | 38.3 | 39.0 | 39.3 | 39.6 | ||
Female | age | 33.8 | 34.3 | 35.2 | 36.5 | 37.4 | ||
Quasi employees, contract employees, etc. |
The number of people |
total | people | 211 | 166 | 175 | 188 | 245 |
Job leavers | Number of job leavers | people | 73 | 93 | 114 | 106 | 62 | |
job-leaving rate | % | 4.8 | 5.8 | 7.3 | 7.0 | 4.1 | ||
New graduate | Number of new graduate employees |
total | people | 58*1 | 79 | 41*1 | 37 | 32 |
Male | people | 52*1 | 72 | 35*1 | 31 | 28 | ||
Female | people | 6 | 7 | 6 | 6 | 4 | ||
Female ratio | % | 10.3*1 | 8.9 | 14.6*1 | 16.2 | 12.5 | ||
Hired-mid-career | Hired-mid-career ratio*2 | % | 47.3 | 20.2 | 35.9 | 40.3*3 | 66.3 | |
Manager | Number of managers |
total | people | 179 | 180 | 194 | 183 | 196 |
Male | people | 176 | 178 | 192 | 181 | 193 | ||
Female | people | 3 | 2 | 2 | 2 | 3 | ||
Ratio of female managers | % | 1.7 | 1.1 | 1.0 | 1.1 | 1.5 | ||
Number of hired-mid-career | people | 41 | 42 | 56 | 54 | 63 | ||
foreign managers | people | 2 | 2 | 1 | 1 | 1 | ||
employees with disabilitie |
Number of employees with disabilities |
people | 37 | 39 | 38 | 38 | 44 | |
employment ratio | % | 2.1 | 2.1 | 2.0 | 2.1 | 2.4 | ||
users of rehiring system |
Retirees | people | 27 | 11 | 29 | 27 | 26 | |
Number of users of rehiring system |
people | 21 | 10 | 23 | 25 | 22 | ||
Rate of use of the system | % | 77.8 | 90.9 | 79.3 | 92.6 | 84.6 | ||
Rate of taking of paid leave | % | 54.4 | 53.6 | 61.3 | 61.7 | 64.5 | ||
employees taking childcare leave |
Number of employees taking childcare leave |
total | people | 9 | 10 | 15 | 13 | 20 |
Male | people | 1 | 3 | 8 | 9 | 18 | ||
Female | people | 8 | 7 | 7 | 4 | 2 | ||
acquisition rate |
Male | % | - | - | - | 20 | 41.9 | |
Female | % | 100 | 100 | 100 | 80 | 100 | ||
rate or return from childcare leave |
% | 100 | 100 | 100 | 100 | 100 | ||
Total annual hours worked per regular employee | hours/year | 2,224 | 2,098 | 2,098 | 2,099 | 2,176 | ||
Training | Training expenses | 1 million yen | 18.1 | 15.7 | 17.7 | 17.0 | 18.4 | |
Training expenses per employee |
yen/people | 11,792 | 9,831 | 11,324 | 11,273 | 12,231 | ||
Training hours | hours/year | - | - | - | - | 9,663 | ||
Training hours per employee |
hours/people | - | - | - | - | 6 | ||
Labor union membership as a percentage of all employees |
% | 90.4 | 90.4 | 89.8 | 88.8 | 91.5 |
*1:The number of male hires was corrected (Sep. 29, 2023).
*2:Percentage of mid-career hires was announced on September 29, 2023.
*3:Corrected mid-career recruitment ratio for fiscal year 2022 (2024/07/10).
Male-female wage differences
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Topre | All workers | - | - | - | 64.3 | 65.0 |
Full-time employees |
- | - | - | 76.8 | 77.9 | |
Contract employees, etc |
- | - | - | 46.5 | 40.0 | |
Topre Kyushu |
All workers | - | - | - | 69.6 | 52.5 |
Full-time employees |
- | - | - | 76.6 | 79.7 | |
Contract employees, etc |
- | - | - | 74.7 | 11.4 | |
Topre Tokai |
All workers | - | - | - | 73.5 | 77.8 |
Full-time employees |
- | - | - | 74.7 | 77.9 | |
Contract employees, etc |
- | - | - | 62.8 | 43.5 |
Safety and health
Occupational accident (Japan Domestic Group)
CY2019 | CY2020 | CY2021 | CY2022 | CY2023 | |||
Fatal accidents | Cases | 0 | 0 | 0 | 0 | 0 | |
Occupational accident |
Number of occurrences |
Cases | 21 | 24 | 22 | 22 | 22 |
Occupational accident rate |
- | 1.65 | 1.90 | 1.77 | 1.88 | 1.82 | |
Accident severity rate | - | 0.00 | 0.01 | 0.03 | 0.03 | 0.01 | |
Number of commuting accidents | Cases | 30 | 20 | 17 | 20 | 20 |
* The value for each year is the number of occurrences from January 1st to December 31st.
* The number of occurrences was partially corrected.
(Addition of non-manufacturing divisions, correction of counting errors)
Lost-time accidents(non-consolidated)
CY2019 | CY2020 | CY2021 | CY2022 | CY2023 | |||
Number of accidents resulting in time off work *3 | Major disaster *2 | cases | 0 | 0 | 0 | 0 | 0 |
Lost-time accidents | cases | 0 | 1 | 4 | 4 | 4 | |
Lost-time injury frequency rate *3 *4 |
target *5 | - | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | actual results | - | 0.00 | 0.26 | 1.03 | 1.16 | 1.08 |
All Industries *6 | - | 1.80 | 1.95 | 2.09 | 2.06 | 2.14 | |
Manufacturing Industries *6 | - | 1.20 | 1.21 | 1.31 | 1.25 | 1.29 | |
Transportation machinery and equipment manufacturing Industries *6 | - | 0.50 | 0.48 | 0.45 | 0.56 | 0.60 |
*The values for each year are from January 1st to December 31st.
*2 Major disaster: Fatal work-related accidents, work-related accidents resulting in physical disabilities, work-related accidents resulting in three or more simultaneous injuries, and accidents resulting in explosions, fires, ruptures, collapses, or large-scale leakage of hazardous substances.
*3 Including temporary and dispatched employees
*4 Lost-time injury frequency rate = Number of people lost time due to workplace injuries ÷ Total actual working hours × 1 million hours
*5 The target frequency rate of lost-time injuries will remain at 0.00 even after CY2024
*6 Source: Quoted from the Ministry of Health, Labor and Welfare's "Survey on Industrial Accident Trends (Calendar Year)"
Social contribution activities (global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Expenses for social contribution activities |
Total | 1,758 | 12,109 | 14,166 | 10,817*2 | 14,021 |
Japan | 1,758 | 2,555 | 4,865 | 3,500*2 | 6,960 | |
Overseas*1 | - | 9,554 | 9,301 | 7,317 | 7,061 |
*1:Overseas bases from fiscal year 2020.
*2:Revised domestic expenses for fiscal year 2022.
Compliance (Japan Domestic Group)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
Number of cases of discipline or dismissal related to corruption |
Cases | 0 | 0 | 0 | 0 | 0 |
Number of persons of discipline or dismissal related to corruption |
people | 0 | 0 | 0 | 0 | 0 |
Fines and settlement costs related to corruption |
million yen | 0 | 0 | 0 | 0 | 0 |
Political contributions | million yen | 0 | 0 | 0 | 0 | 0 |
Intellectual property activities (global)
FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |||
Numbers of patent, utility model and design applications, and rights held |
Numbers of application |
Japan | 11 | 11 | 8 | 8 | 6 |
Overseas | 25 | 15 | 8 | 4 | 14 | ||
Numbers of rights held |
Japan | 115 | 116 | 123 | 113 | 104 | |
Overseas | 91 | 101 | 113 | 119 | 114 |
Last updated:March 12, 2025