Sustainability
Scope of data (Boundary)
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Scope of data (Boundary)
| (1) | SoftBank Group Corp. |
| (2) | SoftBank Corp.*1 |
| (3) | SoftBank Corp.*1, PayPay Corporation, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp. |
| (4) | SoftBank Corp.*1, PayPay Corporation, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2 |
| (5) | SoftBank Corp.*1, PayPay Corporation, Cyber University Inc., SB Energy Corp.*2, SoftBank Robotics Corp. |
| (6) | SoftBank Corp.*1, PayPay Corporation, Cyber University Inc., SB Energy Corp.*2 |
| (7) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2 |
| (8) | SoftBank Corp.*1, PayPay Corporation, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp., Arm Limited, SB Investment Advisers (UK) Limited., SoftBank Ventures Asia Corp., SoftBank Group International |
| (9) | SoftBank Corp.*1, Cyber University Inc., SB Energy Corp.*2, SoftBank Robotics Corp., Arm Limited, SB Investment Advisers (UK) Limited. |
| (10) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp., SB Investment Advisers (UK) Limited. |
| (11) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp., Arm Limited, SoftBank Ventures Asia Corp., SB Global Advisers Limited |
| (12) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp., SoftBank Ventures Asia Corp., SB Global Advisers Limited |
| (13) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp. |
| (14) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SB Energy Corp.*2, SoftBank Robotics Corp., Arm Limited, SoftBank Ventures Asia Corp. |
| (15) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SoftBank Robotics Corp., Arm Holdings plc, SB Investment Advisers (UK) Limited, SB Global Advisers Limited |
| (16) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SoftBank Robotics Corp., SB Investment Advisers (UK) Limited, SB Global Advisers Limited |
| (17) | SoftBank Corp.*1, Cyber University Inc., Fukuoka SoftBank HAWKS Corp., SoftBank Robotics Corp. |
| |
Environment
Greenhouse Gas (GHG) Emissions (Scope1&2)
| FY19 | FY20 | FY21 | FY22 | FY23 | ||
|---|---|---|---|---|---|---|
| Scope1&2 total (t-CO₂) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Scope1 (t-CO₂) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Scope2 (t-CO₂) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Intensity of GHG Emission (t/Gbps) | (2) | (2) | (2) | (2) | (2) | |
Greenhouse Gas (GHG) Emissions (Scope3)
| FY20 | FY21 | FY22 | FY23 | Description of calculation | ||
|---|---|---|---|---|---|---|
| Scope 3 total (t-CO₂) | (2) | (2) | (2) | (2) | ||
| Category 1: Purchased Goods and Services | (2) | (2) | (2) | (2) | Calculated by multiplying the purchase price of products and services by the CO₂ emission factor, including the procurement and transportation processes | |
| Category 2: Capital Goods | (2) | (2) | (2) | (2) | Calculated by multiplying the capital investment amount by the CO₂ emission factor of capital goods | |
| Category 3: Fuel- and Energy-Related Activities Not Included in Scope 1 or Scope 2 | (2) | (2) | (2) | (2) | Calculated by multiplying fuel/electric power consumption by the CO₂ emission factor for fuel procurement in manufacturing processes and, for electric power procured for sale from external sources, calculated by multiplying the amount of electric power by the CO₂ emission factor upon fuel procurement | |
| Category 4: Upstream Transportation and Distribution | (2) | (2) | (2) | (2) | Calculated by multiplying transportation costs by the CO₂ emission factor for transportation between bases and shipping (Procurement transportation is included in Category 1) | |
| Category 5: Waste Generated in Operations | (2) | (2) | (2) | (2) | Calculated by multiplying the weight of industrial waste by the CO₂ emission factor for each kind of waste disposal method | |
| Category 6: Business Travel | (2) | (2) | (2) | (2) | Calculated by multiplying the amount paid for transportation allowances by the CO₂ emission factor for each transportation category, by multiplying the number of days of accommodation by the CO₂ emission factor per day of accommodation, and by multiplying the total travel distance of rental cars by the CO₂ emission factor for each fuel type and maximum loading capacity | |
| Category 7: Employee Commuting | (2) | (2) | (2) | (2) | Calculated by multiplying the total commuting distance of employees by the CO₂ emission factor per km of travelers for each transportation category and multiplying the power consumption during telework by the CO₂ emission factor of electric power | |
| Category 8: Upstream Leased Assets | (2) | (2) | (2) | (2) | Calculated by multiplying the total floor area of warehouses and rental offices by the CO₂ emission factor per area for each building use and by multiplying the electric power consumption of telecommunications equipment installed and operated at rental properties by the CO₂ emission factor for electric power | |
| Category 9: Downstream Transportation and Distribution | (2) | (2) | (2) | (2) | For shipping, it is calculated by multiplying transportation costs by the CO₂ emission factor | |
| Category 10: Processing of Sold Products | (2) | (2) | (2) | (2) | (Not to be calculated) | |
| Category 11: Use of Sold Products | (2) | (2) | (2) | (2) | Calculated by multiplying the number of products sold/rented by lifelong power consumption of each product and the CO₂ emission factor of electric power | |
| Category 12: End-of-Life Treatment of Sold Products | (2) | (2) | (2) | (2) | Calculated by multiplying the total weight of products sold by the CO₂ emission factor for each kind of waste | |
| Category 13: Downstream Leased Assets | (2) | (2) | (2) | (2) | Calculated by multiplying the number of units rented by electric power consumption and the CO₂ emission factor for electric power | |
| Category 14: Franchises | (2) | (2) | (2) | (2) | Calculated by multiplying the total floor area of franchise shops by the CO₂ emission factor per area for each building use | |
| Category 15: Investments | (2) | (2) | (2) | (2) | (Not to be calculated) | |
Energy Consumption
| FY19 | FY20 | FY21 | FY22 | FY23 | ||
|---|---|---|---|---|---|---|
| Energy Consumption total (MWh) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Non-Renewable Energy Consumption (MWh) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Renewable Energy Consumption (MWh) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Ratio of Renewable Energy (%) | (2) | (2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
Social
Human Resources and Diversity
| FY19 | FY20 | FY21 | FY22 | FY23 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Number of employees（persons） | ||||||||||
| Total | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Men | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Women | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Ratio of female employees in revenue generating section*1 (%) | (1)＋(6) | (1)＋(6) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Ratio of female employees in STEM section*2 (%) | (1)＋(6) | (1)＋(6) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Other*3 | ー | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Age composition of employees (persons) | ||||||||||
| 20s and below | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| 30s and 40s | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| 50s and up | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Number of employees in management (persons) | ||||||||||
| Total | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Men | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Women | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Number of female employees in entry-level management positions*4 | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(12) | (1)＋(15) | |||||
| Ratio of female employees in entry-level management positions*4 (%) | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(12) | (1)＋(15) | |||||
| Number of female employees in senior management positions | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(12) | (1)＋(15) | |||||
| Ratio of female employees in senior management positions (%) | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(12) | (1)＋(15) | |||||
| Other*3 | ー | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Number of new hires (new graduate and mid-career) (persons) | ||||||||||
| Total | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Men | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Women | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Other*3 | ー | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Number of mid-career hires among new hires (persons) | (1)＋(5) | (1)＋(5) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Average cost of hiring full-time employees (thousand yen) | (1)＋(2) | (1)＋(2) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Average years of employment (years) | ||||||||||
| Total | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Men | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Women | (1)＋(3) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Other*3 | ー | ー | ー | (1)＋(11) | (1)＋(15) | |||||
| Turnover rate for full-time employees (%) | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |||||
| Number of temporary and contract workers (persons) | (1)＋(6) | (1)＋(6) | (1)＋(8) | (1)＋(12) | (1)＋(16) | |||||
| Ratio of Employees with Disabilities (%) | ー | ー | (1)＋(8) | (1)＋(13) | (1)＋(17) | |||||
Sections that generate revenue directly, such as sales and marketing
Sections that routinely utilize science knowledge in the four fields of Science, Technology, Engineering, and Mathematics
Aggregate when group companies has an "Other" section
Refers to entry-level managers, who are responsible for the day-to-day operations of the organization and provide instructions to their subordinates from higher-level managers
Nationality
| All employees | FY20 | FY21 | FY22 | FY23 | |||||
|---|---|---|---|---|---|---|---|---|---|
| Top 1 | Japan | (1)＋(6) | Japan | (1)＋(8) | Japan | (1)＋(11) | Japan | (1)＋(15) | |
| Top 2 | China | (1)＋(6) | United Kingdom | (1)＋(8) | South Korea | (1)＋(11) | South Korea | (1)＋(15) | |
| Top 3 | South Korea | (1)＋(6) | India | (1)＋(8) | United Kingdom | (1)＋(11) | India | (1)＋(15) | |
| Top 4 | Other Asia | (1)＋(6) | United States | (1)＋(8) | India | (1)＋(11) | United Kingdom | (1)＋(15) | |
| Other | Other | (1)＋(6) | Other | (1)＋(8) | Other | (1)＋(11) | Other | (1)＋(15) | |
| Management | |||||||||
| Top 1 | Japan | (1)＋(6) | Japan | (1)＋(8) | Japan | (1)＋(11) | Japan | (1)＋(15) | |
| Top 2 | China | (1)＋(6) | United Kingdom | (1)＋(8) | United Kingdom | (1)＋(11) | United Kingdom | (1)＋(15) | |
| Top 3 | South Korea | (1)＋(6) | United States | (1)＋(8) | South Korea | (1)＋(11) | India | (1)＋(15) | |
| Top 4 | Other Asia | (1)＋(6) | India | (1)＋(8) | India | (1)＋(11) | United States | (1)＋(15) | |
| Other | Other | (1)＋(6) | Other | (1)＋(8) | Other | (1)＋(11) | Other | (1)＋(15) | |
Salaries and Remuneration
| FY20 | FY21 | FY22 | FY23 | ||
|---|---|---|---|---|---|
| Average total annual income of employees (thousand yen) | (1)＋(3) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Men | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Women | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Other* | ー | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Average annual basic salary of employees at management levels (thousand yen) | |||||
| Men | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Women | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Other* | ー | ー | (1)＋(11) | (1)＋(15) | |
| Average total annual income of employees at management levels (thousand yen) | |||||
| Men | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Women | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Other* | ー | ー | (1)＋(11) | (1)＋(15) | |
| Average total annual income of employees at non-management levels (thousand yen) | |||||
| Men | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Women | (4) | (1)＋(8) | (1)＋(11) | (1)＋(15) | |
| Other* | ー | ー | (1)＋(11) | (1)＋(15) | |
Aggregate when group companies has an "Other" section
Training and Development
| FY20 | FY21 | FY22 | FY23 | |
|---|---|---|---|---|
| Average annual training cost per employee (thousand yen) | (6) | (10) | (12) | (16) |
| Average annual training hours per employee (hours) | ー | (10) | (12) | (16) |
Social Contribution Activity Cost
| FY23 | |
|---|---|
| Charitable donations (thousand yen) | (1)＋(15) |
| Community Investment (thousand yen) | (1)＋(15) |
Governance
Political Contributions
| FY19 | FY20 | FY21 | FY22 | FY23 | ||
|---|---|---|---|---|---|---|
| Total (yen) | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(14) | (1)＋(16) | |
| Lobbying | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(14) | (1)＋(16) | |
| Political activities | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(14) | (1)＋(16) | |
| Trade associations | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(14) | (1)＋(16) | |
| Others | (1)＋(4) | (1)＋(4) | (1)＋(8) | (1)＋(14) | (1)＋(16) | |
Number of Disciplinary Actions related to Violations of Company Regulations, Laws, etc.
| FY19 | FY20 | FY21 | FY22 | FY23 | |
|---|---|---|---|---|---|
| Number of violations, including human rights infringements and harassment | (1) | (1) | (1) | (1) | (1) |
| Number of corruption related violations (bribery etc.) | (1) | (1) | (1) | (1) | (1) |
| Number of violations related to labor issues (long working hours, unfair dismissal, etc.) | (1) | (1) | (1) | (1) | (1) |
| Number of violations related to security | (1) | (1) | (1) | (1) | (1) |
| Number of violations related to neglect of duties | (1) | (1) | (1) | (1) | (1) |
| Number of violations related to privacy (e.g., customer privacy data) | ー | ー | ー | (1) | (1) |
| Number of violations related to conflicts of Interest | ー | ー | ー | (1) | (1) |
| Number of violations related to insider trading | ー | ー | ー | (1) | (1) |
| Others | ー | ー | ー | ー | (1) |
Information Security
| FY19 | FY20 | FY21 | FY22 | FY23 | |
|---|---|---|---|---|---|
| Number of material IT infrastructure incidents | (1) | (1) | (1) | (1) | (1) |
