Sustainability Data 2025
Overview of Chugai performance data for sustainability and DE & I
Social Area including DE&I
| 2023 | 2024 | 2025 | ||
|---|---|---|---|---|
| Full-time employees (Chugai Group)*1, *2 | Consolidated | 7,604 | 7,778 | 7,872 |
| Full-time employees (Chugai, non-consolidated)*1, *2 | Chugai | 4,903 | 5,026 | 5,104 |
| New hires (new graduates + mid-career)*1 | Chugai | 283 (new graduates:146 + mid-career:137) | 287 (new graduates:155 + mid-career:132) | 253 (new graduates:166 + mid-career:87) |
| Board of Directors*1 | Chugai | 9 (3 outside directors) (2 females) |
8 (3 outside directors) (2 females) |
9 (3 outside directors) (2 females) |
| Auditors*1 | Chugai | 5 (3 outside auditors) (1 female) |
5 (3 outside auditors) (2 females) |
5 (3 outside auditors) (2 females) |
| Executive Officers*1 *3 | Chugai | 12 (2 females) |
11 (1 female) |
9 (2 females) |
| Average age*1 | Chugai | 42 years, 8 months Male 44 years Female 39 years, 7 months |
42 years, 7 months Male 44 years Female 39 years, 8 months |
42 years, 7 months Male 43 years, 10 months Female 40 years, 1 months |
| Average service years*1 | Chugai | 15 years, 10 months |
15 years, 6 months |
15 years, 5 months |
| Percentage of female employees | Chugai/Domestic group | All workers 32.0% Managerial level*4 19.0% Managers*5 17.2% |
All workers 32.7% Managerial level*4 19.7% Managers*5 17.6% |
All workers 33.2% Managerial level*4 21.2% Managers*5 19.2% |
| Ratio of employees with disabilities*6 | Domestic group | 2.49% | 2.68% | 2.68% |
| Ratio of employees taking childcare leave*7 *8 | Chugai | Male 87.6% Female 100.0% |
Male 98.2% Female 101.8% |
Male 93.4% Female 104.9% |
| Employees who took family-care leave | Chugai | 5 | 4 | 2 |
| Gender pay gap*9 | All workers 78.7% Regular workers 78.6% Other workers 70.6% |
All workers 80.4% Regular workers 80.0% Other workers 75.2% |
All workers 81.4% Regular workers 81.2% Other workers 76.3% |
|
| Employees who took volunteer leave | Chugai | 0 | 0 | 0 |
| Employees who took volunteer holiday | Chugai | 4 | 12 | 14 |
| Inquiries to the Medical Information Department | Chugai | 46,252 | 39,797 | 36,594 |
| Information events for the media and institutional investors | Chugai | 31 | 31 | 28 |
| Number of individual meetings with domestic and overseas investors and securities analysts | Chugai | 663 | 819 | 986 |
| Briefings for individual investors and shareholders: | Chugai | 3 | 1 | 1 |
| Number of shareholders*1 | Chugai | 54,361 | 44,636 | 58,967 |
| Outstanding shares*1 | Chugai | 1,679,057,667 | 1,679,057,667 | 1,679,057,667 |
| Ratio of shares held by foreign investors*1 | Chugai | 77.49% | 78.43% | 77.88% |
| Ratio of shares held by “individual/other” shareholders*1 | Chugai | 3.47% | 3.06% | 3.18% |
- *1 Figures as of December 31.
- *2 “Employees” refers to permanent, full-time employees.
- *3 Excludes those who concurrently serve as directors.
- *4 based on employees of Chugai Pharmaceutical Co. Ltd. (Non-consolidated)
- *5 based on employees of Chugai Group companies in Japan (Chugai Pharmaceutical Co. Ltd. + affiliate companies in Japan)
- *6 As we have been certified for “Special Provision on Calculation for Corporate Groups” since 2021(Based on results as of December 1 and the calculation defined by the law)
- *7 The number of employees who gave birth in the relevant fiscal year is calculated as a parameter, and the number of employees who started long-term absence from work for child care is calculated as the number of the numerator. (For fiscal year 2023, any percentage exceeding 100% is indicated as “100.0%”)
- *8 From 2022 onwards, in accordance with revisions to the Child Care and Family Care Leave Act, only those taking childcare leave for the first time will be eligible
- *9 Ratio of the average annual salary of female employees to the average annual salary of male employees (In fiscal year 2024 and after, calculations exclude employees assigned overseas during the fiscal year, as well as new hires (mid-career hires, new graduates, and transferred employees))
<Major reasons for gender pay gap in regular workers>
- We have introduced a human resources system aimed at enabling everyone to play an active role regardless of age or background, with clear and differentiated evaluation and compensation tailored to their roles and performance. Compensation is the same for men and women, and any current salary gaps are due to differences in job duties, job grades, and age structure.
- For managers, the introduction of a job grading system means that salaries are determined based on position. As a result, the ratio of the annual average salary of female employees compared to male is minimal at 94.7%, with each level of managerial hierarchy maintaining a wage ratio exceeding 95%.
- To address one of the factors behind the gap, we set KPIs in 2022 for 2030 and are strengthening the appointment of female managers and support for career development. Specifically, we implemented a dialogue program “Naname Check-in” between young female employees and female managers outside their departments, providing 64 participants with opportunities to gain insights into career development and balancing work and childcare. In addition, we have introduced a “sponsorship system” in which all executive officers support the development and promotion of female successor candidates. Through these initiatives, feedback such as “I feel more positive about the role of manager” and “my career perspective has broadened” has been received, leading to increased motivation to take on challenges. As a result, the ratio of female managers increased from 15.9% in 2022 to 19.2% in 2025.
- Under the new human resources system introduced in 2025, we have combined the job grade system with a job posting framework to create an environment where employees can proactively build their careers regardless of age or background. The proportion of women among job posting applicants was 30.0%, and among successful candidates was 35.2%, which is at a level comparable to the overall proportion of female employees (33.9%), indicating that opportunities to take on challenges are secured regardless of gender.
- The main factors contributing to the gap among non-managerial level employees (85.3%) are differences in length of childcare leave and utilization ratio of shortened work hours for childcare, as well as limitations on overtime work due to life events. In particular, the impact is significant in G3 (87.6%), where there are more employees taking childcare leave and working shorter hours. As the rate of male employees taking childcare leave exceeds 90%, we have set targets for longer paternity leave and are continuously working to raise awareness and improve the workplace environment to establish a corporate culture in which both men and women participate in childcare. Through seminars by external lecturers and roundtable discussions with male employees who have taken long-term childcare leave, we shared the voices of employees, supervisors, and colleagues to promote understanding in the workplace. In addition, we held “couple seminars” that allow spouses from outside the company to participate, aiming to realize a society where both men and women can participate in childcare and thrive. As a result, the average number of days of paternity leave taken by male employees increased from 18.9 days in 2022 to 37.7 days in 2025.
- Through these initiatives, the gender pay gap improved from 77.7% in 2022 to 81.4% in 2025. Our goals and initiatives for promoting women’s participation in the workplace are detailed in “Section 2: Business Overview - 2. Approach and Initiatives on Sustainability.”
Social Performance Data
The Social Data are subjected to third-party assurance in order to increase their reliability. The data indicated with
for the year of 2025 have been independently assured by KPMG AZSA Sustainability Co., Ltd.
Independent Practitioner’s Limited Assurance Report [PDF 175KB]
1. Injury frequency rate, Occupational incidence severity and Occupational illness frequency rate
| 2021 | 2022 | 2023 | 2024 | 2025 | |||
|---|---|---|---|---|---|---|---|
| Injury Frequency rate (Employees/Contractor employees) | Lost-worktime | Number of accidents | 6 | 0 | 1 | 2 | 4 |
| Injury frequency rate | 0.40 | 0.00 | 0.07 | 0.13 | 0.25 |
||
| No lost-worktime | Number of accidents | 12 | 22 | 15 | 27 | 23 | |
| Injury frequency rate | 0.80 | 1.48 | 1.02 | 1.74 | 1.46 | ||
| Total | Number of accidents | 18 | 22 | 16 | 29 | 27 | |
| Injury frequency rate | 1.21 | 1.48 | 1.09 | 1.87 | 1.71 | ||
| Occupational incidence severity (Employees/Contractor employees) | Total lost-workdays | 69 | 0 | 7 | 103 | 256 | |
| Occupational incidence severity | 0.004 | 0.000 | 0.000 | 0.005 | 0.013 |
||
| Occupational Illness Frequency rate (Employees) | Number of accidents | 0 | 0 | 0 | 0 | 0 | |
| Occupational Illness Frequency rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
||
2. Fatalities (Employees, Contractor employees)
Number of Fatalities
| 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|
| Employees | 0 | 0 | 0 | 0 | 0 |
| Contractor employees | 0 | 0 | 0 | 0 | 0 |
Standards for Calculating Social Performance Indicators
<The boundary of calculation>
Chugai Group employees: Employees at all Group sites and facilities in Japan (including contract employees,
part-time employees, temporary employees, employees on loan to our group)
Contractor employees: Employees of contractors in Japan (dealing with equipment and equipment maintenance contractors, etc.) who
work together with Chugai Group employees at plants, research laboratories, and other business sites with
hazardous operations.
<Calculation period>
January - December 2025
Lost-worktime Injury Frequency rate, Occupational incidence severity and Occupational Illness Frequency rate
| Social performance indicator | Calculation method |
|---|---|
| Lost-worktime injury frequency rate | Number of people injured or killed in occupational accidents per 1 million work hours (resulting in
at least one work day off, and an application for accident compensation insurance, but excluding
accidents during commuting), showing the frequency of occurrence Injury frequency rate = number of people injured or killed in occupational accidents / total number of actual working hours*1 x 1,000,000 |
| Occupational incidence severity | Number of days of work lost to occupational accidents (excluding accidents during commuting) per
1,000 work hours, showing the severity of the accident Occupational incidence severity = number of workdays lost / total number of actual working hours*1 x 1,000 |
| Occupational Illness Frequency rate | Number of occupational diseases per 1 million work hours (calculated based on persons certified as
occupational accidents) represents the frequency of occurrence of occupational diseases. Occupational diseases are stipulated in Article 35 of the Ordinance for Enforcement of the Labor Standards Act in Japan. Occupational Illness Frequency rate = number of occupational diseases / total number of actual working hours*1 x 1,000,000 |
- *1 When the number of actual working hours of temporary employees is unknown in FY 2023 and before, it is estimated by multiplying the number of such workers as of December 1 of the relevant year x 7.75 hours/day x working days. In FY 2024 and thereafter, all figures including temporary employees are calculated based on actual working hours.
Fatalities
| Social performance indicator | Calculation method |
|---|---|
| Fatalities | The death of a worker arising from an occupational disease or injury sustained or contracted while performing work that is controlled by the organization or that is being performed in workplaces that the organization controls. |
Economic Area
International Financial Reporting Standards (IFRS)
Unit: 100 millions of yen (rounded to the nearest 100 million)
| 2023 | 2024 | 2025 | ||
|---|---|---|---|---|
| Revenue | Consolidated | 11,114 | 11,706 | 12,579 |
| Research and development | Consolidated | 1,749 | 1,814 | 1,876 |
| Operating profit | Consolidated | 4,392 | 5,420 | 5,988 |
| Income taxes | Consolidated | 1,183 | 1,557 | 1,638 |
| Net income | Consolidated | 3,255 | 3,873 | 4,340 |
| Total net assets | Consolidated | 16,256 | 19,015 | 20,257 |
Environmental Performance Data
The Environmental Data are subjected to third-party assurance in order to increase their
reliability. The data indicated with
for the
year of 2025 have been independently assured by KPMG AZSA Sustainability Co., Ltd.
Independent Practitioner’s Limited Assurance Report [PDF 175KB]
For progress toward the Medium-term Environmental Targets 2030, see the pages for Climate Change Countermeasures, Recycling-oriented Resource Usage, and Protection of Biodiversity.
- 1. Thermal equivalent values of Energy Consumption and CO2 Emissions by Year
- 2. Thermal equivalent values of Energy Consumption and CO2 Emissions by Site or Facility in 2025
- 3. Renewable Energy Consumption by Year
- 4. Purchase volume of Green Power Certificates and Non-Fossil Fuel Certificates by Year
- 5-1. Greenhouse Gas Emissions in 2025
- 5-2. GHG Emissions by Year
- 6. Annual Industrial Waste Generation
- 7. Trading volume of valuables
- 8. Handled Amounts of Chemical Substances Covered by PRTR Law (April – March)
- 9. Annual Water Withdrawal and Wastewater
- 10. Annual Total BOD
- 11. 2025 Water stress, Water withdrawals and Wastewater by Site or Facility
- 12. 2025 Number of sites and water withdrawal by site in water stress areas
- 13. 2025 Total BOD by Site or Facility
- 14. 2025 Total Air Pollution by Site or Facility
- 15. Use of Specified Containers and Packaging under the Law for Promotion of Sorted Collection and Recycling of Containers and Packaging
- 16. Environmental Accounting
- Standards for Calculating Environmental Performance Indicators
1. Thermal equivalent values of Energy Consumption*1 and CO2 Emissions by Year
| Unit | 2023 | 2024 | 2025 | ||
|---|---|---|---|---|---|
| Electricity | GJ | 1,245,932 | 1,266,895 | 1,321,607 | |
| Sustainable electricity | GJ | 1,210,420 | 1,232,832 | 1,321,607 | |
| Non sustainable electricity | GJ | 35,513 | 34,063 | — | |
| Heat | GJ | 29,008 | 29,543 | 25,937 | |
| Fuel Oil | GJ | 273 | 233 | 551 | |
| Diesel | GJ | 2,898 | 3,013 | 3,592 | |
| Gasoline | GJ | 22,529 | 24,570 | 24,875 | |
| City gas | GJ | 912,985 | 950,022 | 911,131 | |
| LPG | GJ | 640 | 505 | 534 | |
| Total energy consumption | TJ | 2,214 | 2,275 | 2,288 |
|
| Renewable energy | TJ | 1,210 | 1,233 | 1,322 | |
| Non renewable energy | TJ | 1,004 | 1,042 | 967 |
|
| CO2 emissions from energy consumption*2 | tCO2e | 50,787 | 53,895 | 49,887 |
|
- *1 The thermal equivalent values of energy consumption are based on the heating value per unit in the Enforcement Regulations of the Law Concerning the Rational Use of Energy and Conversion to Non-Fossil Energy. Heating value per unit for sustainable electricity is the usage level of electricity purchased from electric utility companies defined in the Enforcement Regulations of the “Act on the Rational Use of Energy”(0.00864 GJ/kWh). (For heating value per unit, see “Greenhouse Gas Emissions Per Unit”)
- *2 Calculation by Market-based Method
2. Thermal equivalent values of Energy Consumption and CO2 Emissions by Site or Facility in 2025
| Unit | Ukima Site | CPMC*2 Fujieda Plant |
CPMC*2 Utsunomiya Plant |
||
|---|---|---|---|---|---|
| Electricity | GJ | 533,003 | 136,786 | 284,373 | |
| Sustainable electricity | GJ | 533,003 | 136,786 | 284,373 | |
| Non sustainable electricity | GJ | — | — | — | |
| Heat | GJ | — | — | — | |
| Fuel Oil | GJ | 443 | 78 | 31 | |
| Diesel | GJ | — | 4 | 5 | |
| Gasoline | GJ | — | 64 | 5 | |
| City gas | GJ | 236,509 | 383,950 | 157,561 | |
| LPG | GJ | — | — | 495 | |
| Total energy consumption | GJ | 769,954 | 520,881 | 442,469 | |
| Renewable energy | GJ | 533,003 | 136,786 | 284,373 | |
| Non renewable energy | GJ | 236,951 | 384,096 | 158,096 | |
| CO2 emissions from energy consumption*1 | tCO2e | 12,152 | 19,688 | 8,107 | |
| Unit | Chugai Life Science Park Yokohama | Head Office and Branches | Overseas Group Companies*3 | ||
|---|---|---|---|---|---|
| Electricity | GJ | 314,112 | 25,114 | 28,220 | |
| Sustainable electricity | GJ | 314,112 | 25,114 | 28,220 | |
| Non sustainable electricity | GJ | — | — | — | |
| Heat | GJ | — | — | 25,937 | |
| Fuel Oil | GJ | — | — | — | |
| Diesel | GJ | — | 3,516 | 67 | |
| Gasoline | GJ | — | 20,464 | 4,343 | |
| City gas | GJ | 132,920 | 191 | — | |
| LPG | GJ | 39 | — | — | |
| Total energy consumption | GJ | 447,071 | 49,285 | 58,566 | |
| Renewable energy | GJ | 314,112 | 25,114 | 28,220 | |
| Non renewable energy | GJ | 132,960 | 24,171 | 30,346 | |
| CO2 emissions from energy consumption*1 | tCO2e | 6,815 | 1,655 | 1,470 | |
- *1 Calculation by Market-based Method
- *2 CPMC is the abbreviation for Chugai Pharma Manufacturing Co., Ltd.
- *3 Chugai Pharmabody Research Pte. Ltd., Chugai Pharma Technology Taizhou Co. Ltd., Chugai Pharma Europe Ltd., Chugai Pharma U.K. Ltd., Chugai Pharma France SAS., Chugai Pharma Germany Gmbh, Chugai Pharma USA Inc., Chugai Pharma China Co., Ltd., Chugai Pharma Taiwan Ltd., Chugai Venture Fund, LLC
3. Renewable Energy Consumption by Year
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Solar power | MWh | 198 | 259 | 246 |
| Sustainable electricity purchased*1 | MWh | 140,095 | 142,689 | 152,964 |
| Total | MWh | 140,293 | 142,948 | 153,210 |
- *1 Includes purchases of Green Power Certificates and Non-Fossil Fuel Certificates
4. Purchase volume of Green Power Certificates and Non-Fossil Fuel Certificates by Year
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Purchase volume of Green Power Certificates | MWh | 30,624 | 9,045 | 6,631 |
| Purchase volume of Non-Fossil Fuel Certificates | MWh | 3,483 | 9,340 | 4,840 |
| Total | MWh | 34,107 | 18,385 | 11,471 |
5-1. Greenhouse Gas Emissions in 2025
| Unit | Domestic | Overseas Group Companies*1 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Plant | Research Laboratories | Branches | Head Office | ||||||
| Scope 1 (Direct emissions from fuel combustion) | tCO2e | 34,412 | 12,350 | 1,638 | 17 | 302 | |||
| Subtotal | tCO2e | 48,417 | 302 | ||||||
| Scope 1 (Direct emissions from non-energy processes) | HFCs | tCO2e | 135 | 111 | — | — | — | ||
| CFCs, HCFCs | tCO2e | — | — | — | — | — | |||
| PFCs | tCO2e | — | — | — | — | — | |||
| CH4 | tCO2e | — | — | — | — | — | |||
| N2O | tCO2e | — | — | — | — | — | |||
| SF6 | tCO2e | 91 | — | — | — | — | |||
| CO2 | tCO2e | 55 | 49 | — | — | 14 | |||
| Subtotal | tCO2e | 441 | 14 | ||||||
| Scope 1:Total | tCO2e | 49,175 | |||||||
| Scope 2 (Market-based Method) | tCO2e | — | — | — | — | 1,167 | |||
| Scope 2 (Market-based Method):Total | tCO2e | 1,167 | |||||||
| Scope 1 + Scope 2 (Market-based Method):Total | tCO2e | 50,342 | |||||||
| Scope 2 (Location-based Method) | tCO2e | 30,447 | 31,646 | 749 | 486 | 2,459 | |||
| Scope 2 (Location-based Method):Total | tCO2e | 65,787 | |||||||
| Scope 1 + Scope 2 (Location-based Method):Total | tCO2e | 114,962 | |||||||
| Scope 3 | Category 1 (Purchased Goods and Services) | tCO2e | 909,212 | — | |||||
| Category 2 (Capital Goods) | tCO2e | 116,869 | |||||||
| Category 3 (Fuel- and Energy-Related Activities Not Included in Scope 1 or Scope 2) | tCO2e | 23,407 | |||||||
| Category 4 (Upstream Transportation and Distribution) | tCO2e | 13,720 | — | ||||||
| Category 5 (Waste Generated in Operations) | tCO2e | 1,819 | 1,054 | 101 | 68 | 25 | |||
| Subtotal | tCO2e | 3,042 | 25 | ||||||
| Category 6 (Business Travel) | Domestic | tCO2e | 1,349 | — | |||||
| International | tCO2e | 3,664 | — | ||||||
| Subtotal | tCO2e | 5,013 | — | ||||||
| Category 7 (Employee Commuting) | tCO2e | 2,513 | — | ||||||
| Category 8 (Upstream Leased Assets) | tCO2e | Not applicable | |||||||
| Category 9 (Downstream Transportation and Distribution) | tCO2e | 29,909 | — | ||||||
| Category 10 (Processing of Sold Products) | tCO2e | Not applicable | |||||||
| Category 11 (Use of Sold Products) | tCO2e | Not applicable | |||||||
| Category 12 (End-of-Life Treatment of Sold Products) | tCO2e | 101 | — | ||||||
| Category 13 (Downstream Leased Assets) | tCO2e | Not applicable | |||||||
| Category 14 (Franchises) | tCO2e | Not applicable | |||||||
| Category 15 (Investments) | tCO2e | 20 | — | ||||||
| Scope 3:Total | tCO2e | 1,103,831 | |||||||
| Scope 1 + Scope 2 (Market-based Method) + Scope 3: Total | tCO2e | 1,154,173 | |||||||
| Scope 1 + Scope 2 (Location-based Method) + Scope 3: Total | tCO2e | 1,218,793 | |||||||
- *1 Chugai Pharmabody Research Pte. Ltd., Chugai Pharma Technology Taizhou Co. Ltd., Chugai Pharma Europe Ltd., Chugai Pharma U.K. Ltd., Chugai Pharma France SAS., Chugai Pharma Germany Gmbh, Chugai Pharma USA Inc., Chugai Pharma China Co., Ltd., Chugai Pharma Taiwan Ltd., Chugai Venture Fund, LLC
5-2. GHG Emissions by Year
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Scope 1 (Direct emissions from fuel combustion)*1 | tCO2e | 47,329 | 50,628 | 48,720 |
| Scope 1 (Direct emissions from non-energy processes) | tCO2e | 662 | 515 | 455 |
| Scope 1:Total | tCO2e | 47,991 | 51,143 | 49,175 |
| Scope 2:Total (Market-based Method)*1 | tCO2e | 3,458 | 3,267 | 1,167 |
| Scope 2: Total (Location-based Method)*1 | tCO2e | 64,663 | 65,695 | 65,787 |
| Scope 3 Category 1 (Purchased Goods and Services) |
tCO2e | 990,121 | 684,778 | 909,212 |
| Scope 3 Category 2 (Capital Goods) |
tCO2e | 79,339 | 220,901 | 116,869 |
| Scope 3 Category 3 (Fuel- and Energy-Related Activities Not Included in Scope 1 or Scope 2) |
tCO2e | 21,608 | 23,566 | 23,407 |
| Scope 3 Category 4 (Upstream Transportation and Distribution) |
tCO2e | 9,397 | 11,266 | 13,720 |
| Scope 3 Category 5 (Waste Generated in Operations)*2 |
tCO2e | 3,780 | 3,525 | 3,067 |
| Scope 3 Category 6 (Business Travel) |
tCO2e | 3,915 | 4,454 | 5,013 |
| Scope 3 Category 7 (Employee Commuting) |
tCO2e | 2,348 | 2,478 | 2,513 |
| Scope 3 Category 8 (Upstream Leased Assets) |
tCO2e | Not applicable | ||
| Scope 3 Category 9 (Downstream Transportation and Distribution) |
tCO2e | 29,808 | 29,351 | 29,909 |
| Scope 3 Category 10 (Processing of Sold Products) |
tCO2e | Not applicable | ||
| Scope 3 Category 11 (Use of Sold Products) |
tCO2e | Not applicable | ||
| Scope 3 Category 12 (End-of-Life Treatment of Sold Products) |
tCO2e | 172 | 139 | 101 |
| Scope 3 Category 13 (Downstream Leased Assets) |
tCO2e | Not applicable | ||
| Scope 3 Category 14 (Franchises) |
tCO2e | Not applicable | ||
| Scope 3 Category 15 (Investments) |
tCO2e | 32 | 29 | 20 |
| Scope 3:Total | tCO2e | 1,140,520 | 980,487 | 1,103,831 |
- *1 Chugai Life Science Park Yokohama receives electricity, cold water, hot water, and steam from Tokyo Gas Engineering Solutions Co., Ltd. (TGES), but the city gas and electricity purchased by TGES are included as our energy consumption. Greenhouse gas emissions from the use of the said city gas are accounted in Scope 1, and greenhouse gas emissions from the use of the said electricity are included in Scope 2.
- *2 Emissions for 2023 and 2024 were recalculated.
6. Annual Industrial Waste Generation
| Types | Unit | 2023 | 2024 | 2025 | ||
|---|---|---|---|---|---|---|
| Sludge | Generated | tonnes | 801 | 939 | 571 | |
| Disposed | Incineration Disposal | tonnes | 396 | 644 | 459 | |
| Landfilled | tonnes | 6 | 6 | 1 | ||
| Final Disposal | tonnes | 54 | 32 | 44 | ||
| Recycled | tonnes | 399 | 289 | 112 | ||
| Waste Oils | Generated | tonnes | 103 | 163 | 144 | |
| Disposed | Incineration Disposal | tonnes | 103 | 163 | 144 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Waste Acids | Generated | tonnes | 643 | 481 | 263 | |
| Disposed | Incineration Disposal | tonnes | 97 | 47 | 53 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 545 | 433 | 209 | ||
| Waste Alkalis | Generated | tonnes | 205 | 157 | 451 | |
| Disposed | Incineration Disposal | tonnes | 113 | 54 | 338 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 93 | 103 | 112 | ||
| Waste Plastics | Generated | tonnes | 791 | 559 | 486 | |
| Disposed | Incineration Disposal | tonnes | 779 | 517 | 447 | |
| Landfilled | tonnes | 0 | 2 | 0 | ||
| Final Disposal | tonnes | 16 | 7 | 9 | ||
| Recycled | tonnes | 12 | 40 | 39 | ||
| Waste Woods | Generated | tonnes | 10 | 5 | 10 | |
| Disposed | Incineration Disposal | tonnes | 10 | 5 | 9 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 1 | 0 | 0 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Waste Metals | Generated | tonnes | 142 | 69 | 59 | |
| Disposed | Incineration Disposal | tonnes | 71 | 14 | 17 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 62 | 7 | 16 | ||
| Recycled | tonnes | 72 | 56 | 42 | ||
| Glass Ceramics | Generated | tonnes | 35 | 22 | 27 | |
| Disposed | Incineration Disposal | tonnes | 18 | 11 | 15 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 10 | 1 | 11 | ||
| Recycled | tonnes | 17 | 12 | 12 | ||
| Products using mercury (batteries, fluorescent lamps, mercury thermometers, etc.) | Generated | tonnes | 3 | 1 | 1 | |
| Disposed | Incineration Disposal | tonnes | 2 | 0 | 1 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 3 | 0 | 0 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Non-Hazardous Waste Total | Generated | tonnes | 2,734 | 2,395 | 2,011 |
|
| Disposed | tonnes | 1,596 | 1,462 | 1,483 |
||
| Incineration Disposal | tonnes | 1,589 | 1,454 | 1,483 | ||
| Landfilled | tonnes | 7 | 8 | 1 | ||
| Final Disposal | tonnes | 145 | 47 | 81 | ||
| Recycled | tonnes | 1,138 | 933 | 527 |
||
| Flammable Waste Oils | Generated | tonnes | 273 | 528 | 401 | |
| Disposed | Incineration Disposal | tonnes | 273 | 520 | 397 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 0 | 8 | 4 | ||
| Strong Waste Acids (pH2.0 or less) | Generated | tonnes | 15 | 97 | 11 | |
| Disposed | Incineration Disposal | tonnes | 7 | 4 | 6 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 8 | 93 | 5 | ||
| Strong Waste Alkalis (pH12.5 or higher) | Generated | tonnes | 387 | 345 | 117 | |
| Disposed | Incineration Disposal | tonnes | 377 | 340 | 113 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 9 | 5 | 4 | ||
| Infectious Waste | Generated | tonnes | 116 | 160 | 168 | |
| Disposed | Incineration Disposal | tonnes | 116 | 160 | 168 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 6 | 0 | 1 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Specified Hazardous Industrial Waste | Generated | tonnes | 22 | 28 | 24 | |
| Disposed | Incineration Disposal | tonnes | 22 | 28 | 24 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 2 | 0 | 3 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Mercury Waste | Generated | tonnes | 0 | 0 | 0 | |
| Disposed | Incineration Disposal | tonnes | 0 | 0 | 0 | |
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 0 | 0 | 0 | ||
| Recycled | tonnes | 0 | 0 | 0 | ||
| Hazardous Waste*1 Total | Generated | tonnes | 813 | 1,158 | 721 |
|
| Disposed | tonnes | 796 | 1,053 | 708 |
||
| Incineration Disposal | tonnes | 796 | 1,053 | 708 | ||
| Landfilled | tonnes | 0 | 0 | 0 | ||
| Final Disposal | tonnes | 8 | 0 | 4 | ||
| Recycled | tonnes | 18 | 106 | 13 |
||
| Waste Utilizing the Wide-Area Certification System | Generated | tonnes | 1 | 1 | 2 |
|
| Disposed | tonnes | — | — | — |
||
| Incineration Disposal | tonnes | — | — | — | ||
| Landfilled | tonnes | — | — | — | ||
| Final Disposal | tonnes | — | — | — | ||
| Recycled | tonnes | 1 | 1 | 2 |
||
| Total | Generated | tonnes | 3,548 | 3,554 | 2,734 |
|
| Disposed | tonnes | 2,391 | 2,514 | 2,191 |
||
| Incineration Disposal | tonnes | 2,384 | 2,506 | 2,191 | ||
| Landfilled | tonnes | 7 | 8 | 1 | ||
| Final Disposal*2 | tonnes | 153 | 47 | 84 | ||
| Recycled | tonnes | 1,157 | 1,039 | 543 |
||
| Recycling Ratio*3 | % | 32.6 | 29.2 | 19.9 | ||
| Final Disposal Ratio*4 | % | 4.3 | 1.3 | 3.1 | ||
- *1 The waste applicable to specially controlled industrial waste as prescribed by the Waste Management and Public Cleansing Act of Japan.
- *2 Total waste landfilled after incineration. Calculated by multiplying the amount of waste disposed by the incineration factor (All non-recyclable waste is incinerated and is not directly landfilled.).
- *3 Amount of waste recycled/Amount of waste generated
- *4 Amount of waste landfilled/Amount of waste generated
- *5 In 2025, we revised the criteria for recycling and excluded thermal recycling from the definition of recycling. Consequently, the data for 2023 and 2024 have been recalculated on a consistent basis.
- *6 It was identified that there had been errors in the aggregation of waste data at certain sites, and the figures for FY2023 and FY2024 have been corrected accordingly.
7. Trading volume of valuables
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Reuse | tonnes | 191 | 0.5 | 2.5 |
| Recycle | tonnes | 95 | 93 | 504 |
8. Handled Amounts of Chemical Substances Covered by PRTR Law*1*2 (April – March)
| Unit | FY 2022 |
FY 2023 |
FY 2024 |
|
|---|---|---|---|---|
| 2-Aminoethanol | tonnes | 2.4 | 1.9 | 1.2 |
| Dichloromethane | tonnes | 2.6 | 1.9 | 2.7 |
| Toluene | tonnes | 1.3 | 1.2 | 1.9 |
| N, N-Dimethylformamide | tonnes | 21.4 | 5.1 | 6.9 |
| N-hexane | tonnes | 1.3 | 1.1 | 1.2 |
- *1 Chemical substances used over 1 ton per year
- *2 In accordance with the Act on Confirmation, etc. of Release Amounts of Specific Chemical Substances in the Environment and Promotion of Improvements to the Management Thereof (PRTR Law), this disclosure covers Class I Designated Chemical Substances as defined under the revised regulations effective April 1, 2023.
9. Annual Water Withdrawal and Wastewater
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| City water | thousand tonnes | 485 | 481 | 479 |
| Well water | thousand tonnes | 539 | 619 | 560 |
| Industrial water | thousand tonnes | 794 | 836 | 830 |
| Rainwater | thousand tonnes | 2 | 3 | 2 |
| Total water use | thousand tonnes | 1,820 | 1,939 | 1,871 |
| Wastewater (Third-party destinations) | thousand tonnes | 912 | 916 | 890 |
| Wastewater (Fresh surface water) | thousand tonnes | 540 | 587 | 584 |
| Wastewater (Seawater) | thousand tonnes | — | — | — |
| Wastewater (Groundwater) | thousand tonnes | — | — | — |
| Total Wastewater | thousand tonnes | 1,452 | 1,503 | 1,474 |
| Amount consumed | thousand tonnes | 368 | 436 | 397 |
- *1 From 2025, the method for calculating wastewater volume at Chugai Life Science Park Yokohama has been changed. The figures for 2023 and 2024 have also been recalculated using the same method.
10. Annual Total BOD
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Total BOD | kg/year | 5,276 | 3,786 | 6,974 |
11. 2025 Water stress, Water withdrawals and Wastewater by Site or Facility
| Site | Unit | Ukima Site | CPMC*1 Fujieda Plant |
CPMC*1 Utsunomiya Plant |
|---|---|---|---|---|
| Water stress (Current) |
Medium to High | Medium to High | Medium to High | |
| Water stress (Future) |
Medium to High | Medium to High | Medium to High | |
| City water | thousand tonnes | 322 | 61 | 77 |
| Well water | thousand tonnes | 3 | 558 | 0 |
| Industrial water | thousand tonnes | 219 | 0 | 377 |
| Rainwater | thousand tonnes | — | — | — |
| Total water withdrawal | thousand tonnes | 545 | 619 | 454 |
| Wastewater (Third-party destinations) | thousand tonnes | 396 | — | 378 |
| Wastewater (Fresh surface water) | thousand tonnes | — | 584 | — |
| Wastewater (Seawater) | thousand tonnes | — | — | — |
| Wastewater (Groundwater) | thousand tonnes | — | — | — |
| Total wastewater | thousand tonnes | 396 | 584 | 378 |
| Total amount consumed | thousand tonnes | 149 | 34 | 77 |
| Site | Unit | Chugai Life Science Park Yokohama | CPR*2 | CPTT*3 |
|---|---|---|---|---|
| Water stress (Current) |
Medium to High | Low | Medium to High | |
| Water stress (Future) |
Medium to High | Low | Medium to High | |
| City water | thousand tonnes | 17 | 0.9 | 0.2 |
| Well water | thousand tonnes | — | — | — |
| Industrial water | thousand tonnes | 234 | — | — |
| Rainwater | thousand tonnes | 2 | — | — |
| Total water withdrawal | thousand tonnes | 253 | 0.9 | 0.2 |
| Wastewater (Third-party destinations) | thousand tonnes | 116 | 0.9 | 0.2 |
| Wastewater (Fresh surface water) | thousand tonnes | — | — | — |
| Wastewater (Seawater) | thousand tonnes | — | — | — |
| Wastewater (Groundwater) | thousand tonnes | — | — | — |
| Total wastewater | thousand tonnes | 116 | 0.9 | 0.2 |
| Total amount consumed | thousand tonnes | 137 | 0 | 0 |
- *1 CPMC is the abbreviation for Chugai Pharma Manufacturing Co., Ltd.
- *2 CPR is the abbreviation for Chugai Pharmabody Research Pte. Ltd.
- *3 CPTT is the abbreviation for Chugai Pharma Technology Taizhou Co. Ltd.
- Water stress: Current; December 2025, Future; 2030 (Business As Usual; Course of Events), Low: <10%, Low to Medium: 10-20%, Medium to High: 20-40%, High: 40-80%, Extremely high: >80%, Evaluation Results by WRI Aqueduct 4.0
12. 2025 Number of sites and water withdrawal by site in water stress areas
| Water stress | A number of sites | Total water withdrawals | Percentage of total water withdrawal |
|---|---|---|---|
| thousand tonnes | % | ||
| Low | 1 site | 0.9 | 0.05 |
| Medium to High | 5 sites | 1,870 | 99.95 |
13. 2025 Total BOD by Site or Facility
| Unit | Ukima Site | CPMC*1 Fujieda Plant |
CPMC*1 Utsunomiya Plant |
Chugai Life Science Park Yokohama | |
|---|---|---|---|---|---|
| Total BOD | kg/year | 4,523 | 1,139 | 408 | 905 |
- *1 CPMC is the abbreviation for Chugai Pharma Manufacturing Co., Ltd.
14. 2025 Total Air Pollution by Site or Facility
| Unit | Ukima Research Laboratories | CPMC*1 Ukima Plant |
CPMC*1 Fujieda Plant |
CPMC*1 Utsunomiya Plant |
Chugai Life Science Park Yokohama | ||
|---|---|---|---|---|---|---|---|
| Nitrogen Oxides (NOx) | kg | 1,560 | 1,593 | 18,854 | 3,220 | 4,547 | |
| Total | kg |
29,774 |
|||||
| Sulfur Oxides (SOx) | kg | — | — | — | — | — | |
| Total | kg |
— |
|||||
| Soot Emissions | kg | 223 | 243 | 382 | 260 | 59 | |
| Total | kg |
1,167 |
|||||
- *1 CPMC is the abbreviation for Chugai Pharma Manufacturing Co., Ltd.
15. Use of Specified Containers and Packaging under the Law for Promotion of Sorted Collection and Recycling of Containers and Packaging
| Unit | 2023 | 2024 | 2025 | |
|---|---|---|---|---|
| Brown glass bottles | tonnes | 9 | 6 | 6 |
| Paper containers and packaging | tonnes | 22 | 22 | 24 |
| Plastic containers and packaging | tonnes | 72 | 71 | 60 |
16. Environmental Accounting
Breakdown of Investments and Costs for Environmental Protection
| General Area | Basic Activity | Detailed Activity | Investments | Costs |
|---|---|---|---|---|
| Millions of yen | Millions of yen | |||
| (1) Business area costs | (1)-1 Pollution prevention costs | (1) Air pollution prevention (including acid rain) costs | 15 | 517 |
| (2) Water pollution prevention costs | 607 | 842 | ||
| (3) Soil pollution prevention costs | 0 | 119 | ||
| (4) Noise prevention costs | 21 | 2 | ||
| (5) Vibration prevention costs | 0 | 0 | ||
| (6) Foul odor prevention costs | 0 | 20 | ||
| (7) Ground sinkage prevention costs | 0 | 13 | ||
| (8) Other pollution prevention costs | 0 | 10 | ||
| Subtotal | 643 | 1,523 | ||
| (1)-2 Global environmental protection costs |
(1) Global warming prevention and energy-saving costs | 702 | 1,312 | |
| (2) Ozone layer depletion prevention costs | 118 | 380 | ||
| (3) Other global environmental protection costs | 55 | 98 | ||
| Subtotal | 875 | 1,790 | ||
| (1)-3 Resource recycling costs | (1) Efficient resource use costs | — | — | |
| (2) Industrial waste recycling, etc. costs | 0 | 96 | ||
| (3) General waste recycling, etc. costs | 0 | 11 | ||
| (4) Industrial waste treatment and disposal costs | 7 | 216 | ||
| (5) General waste treatment and disposal costs | 1 | 3 | ||
| (6) Other resource recycling costs | — | — | ||
| Subtotal | 7 | 327 | ||
| Total (1)-1 to (1)-3 | 1,525 | 3,640 | ||
| (2) Upstream and downstream costs |
(1) Additional costs of green purchasing in place of regular purchasing | — | 482 | |
| (2) Additional costs of providing environmental goods | — | — | ||
| (3) Additional costs of environmentally friendly containers and packaging | — | — | ||
| (4) Costs for collection, recycling and appropriate disposal of products, etc. | — | 0 | ||
| (5) Other upstream and downstream costs | — | 14 | ||
| Subtotal | — | 496 | ||
| (3) Administration costs | (1) Costs for establishing and operating environmental management system | 0 | 151 | |
| (2) Costs for environmental information disclosure and advertising | — | 1 | ||
| (3) Costs for environmental impact monitoring | 0 | 53 | ||
| (4) Costs for environmental education for employees | — | 37 | ||
| (5) Costs for preserving the natural environment, greening, beautification, landscape conservation, etc. at and in the neighborhoods of facilities and sites | — | 190 | ||
| Subtotal | 0 | 433 | ||
| (4) R&D costs | (1) R&D costs for developing products that contribute to environmental protection | — | — | |
| (2) R&D costs for reducing environmental impact in manufacturing of products, etc. | — | — | ||
| (3) R&D costs for reducing environmental impact in other areas, including distribution and sale of products | 0 | 2 | ||
| Subtotal | 0 | 2 | ||
| (5) Social activity costs | (1) Costs for preserving the natural environment, greening, beautification, landscape conservation, etc. in areas other than at and in the neighborhoods of facilities and sites | 8 | 3 | |
| (2) Costs for donations to and support for environmental protection groups | — | — | ||
| (3) Costs for social initiatives, including supporting the environmental activities of and disclosing information to local communities | — | — | ||
| Subtotal | 8 | 3 | ||
| (6) Environmental remediation costs | (1) Costs for nature restoration | — | — | |
| (2) Costs for compensation regarding environmental protection | — | — | ||
| (3) Reserves and insurance for response to environmental damage | — | 3 | ||
| Subtotal | — | 3 | ||
| Total | 1,533 | 4,577 | ||
Annual Investments and Costs for Environmental Protection
| Breakdown of Costs | 2023 | 2024 | 2025 | ||||
|---|---|---|---|---|---|---|---|
| Invest- ments |
Costs | Invest- ments |
Costs | Invest- ments |
Costs | ||
| Millions of yen | Millions of yen | Millions of yen | Millions of yen | Millions of yen | Millions of yen | ||
| (1) Business area costs | (1)-1 Pollution prevention costs | 813 | 850 | 4,122 | 1,222 | 643 | 1,523 |
| (1)-2 Global environmental protection costs | 963 | 1,116 | 3,880 | 1,888 | 875 | 1,790 | |
| (1)-3 Resource recycling costs | 8 | 340 | 69 | 277 | 7 | 327 | |
| Subtotal | 1,784 | 2,306 | 8,071 | 3,388 | 1,525 | 3,640 | |
| (2) Upstream and downstream costs | — | 8 | — | 14 | — | 496 | |
| (3) Administration costs | 0 | 336 | 9 | 423 | 0 | 433 | |
| (4) R&D costs | 0 | 3 | 0 | 2 | 0 | 2 | |
| (5) Social activity costs | 0 | 0 | 0 | 0 | 8 | 3 | |
| (6) Environmental remediation costs | — | 3 | — | 3 | — | 3 | |
| Total | 1,784 | 2,656 | 8,080 | 3,830 | 1,533 | 4,577 | |
Standards for Calculating Environmental Performance Indicators
<The boundary of calculation>
The boundary of calculation covers the entire consolidated group.
However, with respect to data for which the boundary of calculation is different, notes are described
individually.
<Calculation period> January - December 2025
Energy Consumption and CO2 emissions from energy consumption
| Environmental performance indicator | Unit | Calculation method*1 |
|---|---|---|
| Electricity | GJ | Converted heating value for electricity purchased from electric power suppliers (kWh) Not including renewable energy generated on business sites |
| Sustainable electricity | GJ | Converted heating value for electricity derived from renewable sources purchased from electric power suppliers (kWh), converted heating value of the purchase volume of Green Power Certificates (kWh) and the purchase volume of Non-Fossil Fuel Certificates (kWh) |
| Non sustainable electricity | GJ | Converted heating value for electricity derived from non-renewable sources purchased from electric power suppliers (kWh) |
| Heat | GJ | Heat purchased (industrial steam, cold water) |
| Fuel Oil | GJ | Converted heating value for fuel oil (kL) purchased |
| Diesel | GJ | Converted heating value for diesel (kL) purchased, including fuel for company vehicles in Japan |
| Gasoline | GJ | Converted heating value for gasoline (kL) purchased, including fuel for company vehicles in Japan |
| City gas | GJ | Converted heating value for city gas purchased from gas suppliers (thousand m3) |
| LPG | GJ | Converted heating value for LPG (kg) purchased from gas suppliers |
| Total energy consumption | TJ | Converted heating value for total purchased energy (electricity, heat, fuel oil, diesel, gasoline, city gas, LPG) |
| Renewable energy | TJ | Converted heating value for total purchased renewable energy (electricity) |
| Non renewable energy | TJ | Converted heating value for total purchased non renewable energy (electricity, heat, fuel oil, diesel, gasoline, city gas, LPG) |
| CO2 emissions from energy consumption | tCO2e | Total value of CO2 emissions from energy consumption |
- *1 Converted heating value = Annual usage × Heating values per unit (for heating values
per unit refer to “GHG Emission Factors”)
Emission Factors used for CO2 emissions refer to “GHG Emission Factors”
Renewable Energy Consumption
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Solar power | MWh | Total consumption of solar power energy generated on business sites |
| Sustainable electricity purchased | MWh | Total consumption of renewable energy purchased from the power companies (and purchase volume of Green Power Certificates and Non-fossil Fuel Certificates) |
Purchase volume of Green Power Certificates and Non-Fossil Fuel Certificates
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Purchase volume of Green Power Certificates | MWh | Total purchased volume of environmental value through Green Power Certificates purchased from electric power suppliers |
| Purchase volume of Non-Fossil Fuel Certificates | MWh | Total purchased volume of environmental value through Non-Fossil Fuel Certificates |
Greenhouse Gas Emission
| Environmental performance indicator | Unit | Calculation method*1 |
|---|---|---|
| Scope 1 | tCO2e | Total of CO2 equivalent emissions from fuel purchased at business sites, fuel of company vehicles in Japan, fluorocarbons leakage, and atmospheric emissions of CO2 used at business sites |
| Scope 2 | tCO2e | Total CO2 emissions associated with power and heat purchases calculated using the market-based method or the location-based method |
- *1 Emission factors used for CO2 emissions refer to “GHG Emission Factors”
GHG emissions quantification is subject to uncertainty when measuring activity data, determining emission factors, and considering scientific uncertainty inherent in the Global Warming Potentials.
GHG Emission Factors
Calculation of Scope 1 and Scope 2
| Standards | Type of energy, etc. | Heating value per unit (A) | Emission Factors (B) | CO2 emission Factors (A)×(B)×44/12 |
||||
|---|---|---|---|---|---|---|---|---|
| Scope 1 (Energy sources)*1 | Fuel oil | 38.9 | GJ/kL | 0.0193 | t-C/GJ | 2.75 | t-CO2/kL | |
| Gasoline | 33.4 | GJ/kL | 0.0187 | t-C/GJ | 2.29 | t-CO2/kL | ||
| Diesel | 38.0 | GJ/kL | 0.0188 | t-C/GJ | 2.62 | t-CO2/kL | ||
| LPG | 0.0501 | GJ/kg | 0.0163 | t-C/GJ | 0.00299 | t-CO2/kg | ||
| City gas | 40.0 | GJ/thousand m3 | — | — | By gas suppliers | t-CO2/thousand m3 | ||
| Scope 2 | Market-based method | Electricity*2 | 0.00864 | GJ/kWh | — | — | Domestic: By electric power company Overseas: By country |
t-CO2/kWh |
| Heat (cold water)*2 | 1.19 | GJ/GJ | — | — | 0.0532 | t-CO2/GJ | ||
| Heat (industrial steam)*2 | 1.17 | GJ/GJ | — | — | 0.0654 | t-CO2/GJ | ||
| Location-based method | Electricity*2 | 0.00864 | GJ/kWh | — | — | Domestic: National average emission factors for Okinawa only, emission factors for general power transmission and distribution companies Overseas: By country |
t-CO2/kWh | |
| Heat (cold water)*2 | 1.19 | GJ/GJ | — | — | 0.0532 | t-CO2/GJ | ||
| Heat (industrial steam)*2 | 1.17 | GJ/GJ | — | — | 0.0654 | t-CO2/GJ | ||
| Scope 1 (non-energy sources)*3 | Fluorocarbons, etc. | Method of calculation: CFCs, HCFCs, HFCs, PFCs and other different greenhouse gases (Refill amount - Collection amount) multiplied by global warming potential | ||||||
- *1 Scope 1 (Energy Source): List of Calculation Methods and Emission Factors for
Calculation, Reporting, and Publication in Accordance with the Act on Promotion of Global Warming
Countermeasures (partially revised on July 11, 2024)
CO2 Emission Factors for each city gas suppliers for city gas(For calculation of GHG emissions by specific emitters)-FY2024 results- Published by the Ministry of the Environment and the Ministry of Economy, Trade and Industry on June 30, 2025 - *2 Scope2 : [Heating value per unit for electricity] The Enforcement Regulations for the Act on
the Rational Use of Energy and Shift to Non-fossil Energy
[CO2 Emission Factors for electricity]
<Domestic> CO2 Emission Factors for each electricity suppliers -FY2024 results- Published by the Ministry of the Environment and the Ministry of Economy, Trade and Industry on January 9, 2026
<Overseas> IEA Emission Factors 2025: CO2 emissions per kwh of electricity only (gCO2/kWh) Emission factors by country (IEA, International Energy Agency)
[CO2 Emission Factors for heat]
List of Calculation Methods and Emission Factors for Calculation, Reporting, and Publication in Accordance with the Act on Promotion of Global Warming Countermeasures - *3 Scope 1 (non-energy sources) : Types set forth by the Minister of the Environment and the Minister of Economy, Trade
and Industry based on the provisions of Article 1, Paragraph 3 of the Ordinance for Enforcement of the Act
on Rational Use and Appropriate Management of Fluorocarbons (March 30, 2023 Extra Edition, Ministry of
Economy Trade and Industry, Ministry of the Environment Notification No. 3)
Guidelines for Calculating and Reporting Greenhouse Gas Emissions (Ver. 6.0)
Calculation of scope 3
| Category | Calculation method & CO2 Emissions intensities*1 | Boundary | |
|---|---|---|---|
| 1 | Purchased Goods and Services | Calculated multiplying the purchase price of raw materials and purchased goods by the emission
factor However if the top 10 companies in the purchase amount has disclosed CO2 emissions for Scope 1 and Scope 2, then multiply by the reduction rate from the base year to reflect the Contract Manufacturing Organization(CMO)’s reduction efforts. (CO2 emissions calculated from the purchase amount in the base year) × (CMO’s total emissions in the applicable year)/(CMO’s total emissions in the base year) × (the purchase amount in the applicable year)/(the purchase amount in the base year) |
Purchase of raw materials and goods <The boundary of calculation>
|
| 2 | Capital Goods | Calculated by multiplying the acquisition price of tangible fixed assets for which construction and manufacturing has been completed by the emission factor per price of capital goods | Acquisition price of tangible fixed assets for which construction and manufacturing have been
completed <The boundary of calculation>
|
| 3 | Fuel- and Energy-Related Activities Not Included in Scope 1 or Scope 2 | Calculated multiplying consumption of electricity, heat, fuel oil, diesel, gasoline, city gas and LPG by the emission factor | Energy Consumption <The boundary of calculation>
|
| 4 | Upstream transportation and distribution | Calculated using the “Manual for Calculating and Reporting Greenhouse Gas Emissions (Ver.
5.0): ton-kilometer method” based on transportation ton-kilometers (t-km) Railway: 22g-CO2/t-km Ship: 39g-CO2/t-km Air: 1,490g-CO2/t-km Truck: 0.0589L/t-km × 2.619t-CO2/kL ÷ 1,000 (Fuel consumption per ton-kilometer of truck transport is calculated by using the average loading rate of 10-ton freight truck for commercial use/other.) Of the CO2 emissions from the outsourced warehouse, CO2 emissions from the portion occupied by our company are calculated. |
Vehicle transportation of products from distribution centers to wholesaler warehouses and domestic
airports Air and ship transportation for import and export of products, intermediates, raw materials, etc. The amount equivalent of the CO2 emissions from the outsourced warehouse area occupied by our company <The boundary of calculation>
|
| 5 | Waste generated in operations | Calculated multiplying the amount of waste generated by the emission factor defined by types of waste and treatment method (including the waste transport stage) | Industrial waste <The boundary of calculation>
|
| 6 | Business travel | Calculated multiplying passenger-kilometers by the emission factor per passenger-kilometer by each mode of transportation | Business travel using aircraft (domestic/overseas)*2 <The boundary of calculation>
|
| 7 | Employee Commuting | Calculated multiplying the number of employees by work type and city classification by the number of work days and the emission factor | Commuting of domestic employees <The boundary of calculation>
|
| 9 | Downstream transportation and distribution | Calculated by multiplying the sales price to domestic wholesalers by the emission factor | Transportation from domestic wholesalers to hospitals <The boundary of calculation>
|
| 12 | End-of-Life Treatment of Sold Products | Calculated multiplying the amount of specified containers and packaging usage which is eligible for the Survey of Use and Production of Containers and Packaging by emission factors by waste type | The amount of specified containers and packaging usage which is eligible for the Survey of Use and
Production of Containers and Packaging <The boundary of calculation>
|
| 15 | Investments | CO2 emissions from energy consumption of joint research companies. | Energy consumption of joint research companies <The boundary of calculation>
|
- *1 The database on emissions unit values for calculation of greenhouse gas emissions,
etc., by organizations throughout the supply chain (ver.3.5)
IDEAv2.3(For calculating the supply chain greenhouse gas emissions) - *2 Calculation of the point-to-point distance on a GRS80 global reference ellipsoid using the latitude and longitude of the departure and arrival airports*3, *4
- *3 Global airports (Last Updated October 11, 2013), Open Knowledge International,
https://datahub.io/core/airport-codes
and latitude and longitude confirmed using Google Maps - *4 Distance and direction as calculated by the Geospatial Information Authority of
Japan
https://vldb.gsi.go.jp/sokuchi/surveycalc/surveycalc/bl2stf.html - GHG emissions quantification is subject to uncertainty when measuring activity data, determining emission factors, and considering scientific uncertainty inherent in the Global Warming Potentials.
Industrial waste generation
<The boundary of calculation>
Domestic Research Laboratories: CHUGAI PHARMACEUTICAL CO., LTD. Ukima Research Laboratories (Ukima site), Chugai Life Science Park Yokohama
Domestic Plants: Chugai Pharma Manufacturing Co., Ltd.(CPMC) Ukima Plant (Ukima site), Fujieda Plant,
Utsunomiya Plant
Domestic Offices: CHUGAI PHARMACEUTICAL CO., LTD. Head Office, Branches (34 branches including 7 supervising
branches), Offices (32 offices)
Overseas Research Laboratories: Chugai Pharmabody Research Pte. Ltd. (CPR)
Overseas Plants: Chugai Pharma Technology Taizhou Co. Ltd.(CPTT)
(Waste generated using the wide-area certification system is counted only for domestic research and domestic
production sites.)
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Generated | tonnes | Total industrial waste generation at sites and facilities |
| Disposed | tonnes | Total industrial waste incinerated without recycling which was outsourced to external contractors for processing |
| Landfilled | tonnes | Total waste landfilled after incineration. Calculated by multiplying the amount of waste disposed by the incineration factor. (All non-recyclable waste is incinerated and is not directly landfilled.) |
| Recycled | tonnes | Total industrial waste recycled which was outsourced to external contractors for processing |
Trading volume of valuables
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Reuse | tonnes | Total amount of used products (materials or items) to be used again in their original form, sold as valuables for use wholly or partly as spare components or other parts of products |
| Recycle | tonnes | Total amount of used products sold as valuables, which are subjected to undergo some form of treatment (physical, chemical, or biological process) to transform them into useful items again |
Water Use/Wastewater
<The boundary of calculation>
Domestic Research Laboratories: CHUGAI PHARMACEUTICAL CO., LTD. Ukima Research Laboratories (Ukima site), Chugai Life Science Park Yokohama
Domestic Plants: Chugai Pharma Manufacturing Co., Ltd. (CPMC) Ukima Plant (Ukima site), Fujieda Plant,
Utsunomiya Plant
Overseas Research Laboratories: Chugai Pharmabody Research Pte. Ltd. (CPR)
Overseas Plants: Chugai Pharma Technology Taizhou Co. Ltd.(CPTT)
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Total water use | thousand tonnes | Total water withdrawn for use at sites or facilities (city water, well water, industrial water and rainwater*1) |
| Wastewater | thousand tonnes | Total water discharged to sewer systems or to public water zones
|
| Amount consumed | thousand tonnes | Difference between the amount of water withdrawn (total amount of water withdrawn at business sites (city water, well water, industrial water, and rainwater*1)) and the amount of wastewater discharged (total amount of water discharged from business sites into sewer systems and public water zones) |
- *1 Only the amount input into process and domestic wastewater at the Yokohama Research Institute (Chugai Life Science Park Yokohama) is counted as rainwater.
Air pollutants emissions
<The boundary of calculation>
Domestic Research Laboratories: CHUGAI PHARMACEUTICAL CO., LTD. Ukima Research Laboratories (Ukima site), Chugai Life Science Park Yokohama
Domestic Plants: Chugai Pharma Manufacturing Co., Ltd.(CPMC) Ukima Plant(Ukima site),Fujieda Plant, Utsunomiya
Plant
| Environmental performance indicator | Unit | Calculation method |
|---|---|---|
| Nitrogen oxides (NOx) emissions | kg | Total amount of NOx emitted from specified facilities under the Air Pollution Control Law. NOx emissions = concentration of NOx in exhaust gasses × annual exhaust gasses |
| Sulfur oxides (SOx) emissions | kg | Total amount of SOx emitted from specified facilities under the Air Pollution Control Law SOx emissions = concentration of SOx in exhaust gasses × annual exhaust gasses |
| Soot emissions | kg | Total amount of soot emissions from specified facilities under the Air Pollution Control Law Soot emissions = concentration of soot in exhaust gasses × annual exhaust gasses |