ESG Data
SoftBank Corp. and major subsidiaries' data related to ESG (Environment, Social, Governance) on our business activities are disclosed by items.
Climate Change
Category [Unit] | Boundary | Coverage | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |
---|---|---|---|---|---|---|---|---|
Results | Target | |||||||
Greenhouse Gas (GHG) Emissions | ||||||||
GHG Scope 1 [t-CO2] ★ | ② | FY23: 99.5% |
15,803 | 15,416 | 10,709 | 13,998 | 6,369 | 8,000 |
GHG Scope 2 [t-CO2] ★ | 760,301 | 605,513 | 697,825 | 565,921 | 514,293 | 539,000 | ||
GHG Scope 3 [t-CO2] ★ | FY23: 92.5% |
5,931,433 | 3,121,487*1 | 8,685,602 | 9,368,649 | 9,287,493 | 9,660,000*2 | |
Sum of Scope 1 and 2 [t-CO2] | FY23: 99.5% |
776,104 | 620,929 | 708,534 | 579,919 | 520,662 | 547,000 | |
Sum of Scope 1, 2 and 3 [t-CO2] | FY23: 92.5% |
6,707,537 | 3,742,416 | 9,394,136 | 9,948,568 | 9,808,155 | 10,207,000 | |
Greenhouse Gas Emissions (Scope 1, 2) | ||||||||
Carbon Dioxide (CO2) from Energy Sources [t] | ② | FY23: 99.5% |
776,104 | 620,474 | 707,959 | 579,349 | 519,874 | - |
Carbon Dioxide (CO2) from Non-Energy Sources [t] | - | 0 | 0 | 0 | 0 | - | ||
Methane (CH4) [t-CO2] ★ | - | 293 | 25 | 17 | 67 | - | ||
Dinitrogen Monoxide (N2O) [t-CO2] ★ | - | 0.03 | 3.00 | 2.35 | 9.22 | - | ||
Hydrofluorocarbons (HFCs) [t-CO2] ★ | - | 162 | 547 | 551 | 712 | - | ||
Perfluorocarbons (PFCs) [t-CO2] ★ | - | 0 | 0 | 0 | 0 | - | ||
Sulfur Hexafluoride (SF6) [t-CO2] ★ | - | 0 | 0 | 0 | 0 | - | ||
Nitrogen Trifluoride (NF3) [t-CO2] ★ | - | 0 | 0 | 0 | 0 | - | ||
GHG Emissions Intensity | ||||||||
Intensity (Scope 1, 2)*3 [t-CO2/Gbps] | ① | - | 628 | 411 | 359 | 249 | 204 | - |
- [Notes]
-
- *1The coverage for FY20 greenhouse gas emissions (Scope 3) differs from other years.
- *2Setting the target that account for the expanded coverage
- *3Greenhouse gas emissions at 1 Gbps
- *1
Category [Unit] | Boundary | Coverage | FY2024 | FY2025 | FY2026 | FY2027 | FY2028 | FY2029 | FY2030 |
---|---|---|---|---|---|---|---|---|---|
Mid/long-term Plan for Reducing Greenhouse Gas Emissions | |||||||||
Sum of Scope 1 and 2 [t-CO2] | ② | 100% | 520,000 | 506,000 | 482,000 | 457,000 | 433,000 | 409,000 | 0 |
Category [Unit] | Boundary | Coverage | FY2023 (Rate) |
Description of calculation |
---|---|---|---|---|
Greenhouse Gas Emissions (Scope 3) ★ | ||||
Category 1: Purchased Goods and Services [t-CO2] | ② | FY23: 92.5% |
3,061,864 (33.0%) |
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 [t-CO2] | 1,094,719 (11.8%) |
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 [t-CO2] | 952,921 (10.3%) |
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 [t-CO2] | 215,315 (2.3%) |
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 [t-CO2] | 2,937 (0.0%) |
Calculated by multiplying the weight of industrial waste by the CO2 emission factor for each kind of waste disposal method | ||
Category 6: Business Travel [t-CO2] | 23,097 (0.2%) |
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 [t-CO2] | 26,095 (0.3%) |
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 [t-CO2] | 449,889 (4.8%) |
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 [t-CO2] | 627,508 (6.8%) |
For shipping, it is calculated by multiplying transportation costs by the CO2 emission factor | ||
Category 10: Processing of Sold Products [t-CO2] | 0 (0.0%) |
(Not to be calculated) | ||
Category 11: Use of Sold Products [t-CO2] | 2,559,800 (27.6%) |
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 [t-CO2] | 181,231 (2.0%) |
Calculated by multiplying the total weight of products sold by the CO2 emission factor for each kind of waste | ||
Category 13: Downstream Leased Assets [t-CO2] | 67,688 (0.7%) |
Calculated by multiplying the number of units rented by electric power consumption and the CO2 emission factor for electric power | ||
Category 14: Franchises [t-CO2] | 24,429 (0.3%) |
Calculated by multiplying the total floor area of franchise shops by the CO2 emission factor per area for each building use | ||
Category 15: Investments [t-CO2] | 0 (0.0%) |
(Not to be calculated) | ||
Total | 9,287,493 (100.0%) |
Category [Unit] | Boundary | Cover-age | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
---|---|---|---|---|---|---|---|---|---|
Results | Target | ||||||||
Energy (Electricity) | |||||||||
Electric Power Consumption ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
14,206,182 | 14,519,779 | 18,293,115 | 19,689,713 | 21,045,148 | 21,686,400 | |
[MWh] | 1,644,234 | 1,680,530 | 2,117,259 | 2,278,902 | 2,435,781 | 2,510,000 | |||
Renewable Energy Consumption ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
280,938 | 2,805,978 | 5,453,983 | 8,627,653 | 10,729,394 | 10,938,240 | |
[MWh] | 32,516 | 324,766 | 631,248 | 998,571 | 1,241,828 | 1,266,000 | |||
Renewable Energy Rate ★ | |||||||||
[%] | ② | FY23: 99.5% |
2.0 | 19.3 | 29.8 | 43.8 | 51.0 | 50.4 | |
Electric Power Consumption in Data Centers ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
2,277,677 | 2,347,583 | 4,616,136 | 4,888,719 | 5,914,529 | 6,048,000 | |
[MWh] | 263,620 | 271,711 | 534,275 | 565,824 | 684,552 | 700,000 | |||
└ Renewable Energy Consumption ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
180,351 | 203,066 | 1,157,293 | 2,193,376 | 2,971,693 | 3,024,000 | |
[MWh] | 20,874 | 23,503 | 133,946 | 253,863 | 343,946 | 350,000 | |||
└ Renewable Energy Rate ★ | |||||||||
[%] | ② | FY23: 99.5% |
7.9 | 8.6 | 25.1 | 44.9 | 50.2 | 50.0 | |
└ Power Usage Effectiveness | |||||||||
[-] | ② | FY23: 99.5% |
1.57 | 1.50 | 1.42 | 1.34 | 1.37 | 1.40 | |
Energy Consumption Intensity*1 | |||||||||
[MWh/Gbps] | ② | FY23: 99.5% |
1,296 | 1,124 | 1,084 | 979 | 890 | 950 | |
Energy (Other) | |||||||||
City Gas ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
202,860 | 221,130 | 146,546 | 138,052 | 22,841 | - | |
[m³] | 4,508,000 | 4,914,000 | 3,256,578 | 3,067,817 | 507,580 | ||||
Heavy Oil A ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
6,224 | 7,702 | 8,286 | 13,771 | 7,858 | - | |
[kL] | 160 | 198 | 213 | 354 | 202 | ||||
Gasoline ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
- | 153 | 3,467 | 38,751 | 15,097 | - | |
[kL] | - | 5 | 104 | 1,160 | 452 | ||||
Warm Water, Cold Water and Steam ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
54,280 | 53,042 | 63,087 | 74,169 | 70,599 | - | |
Light Oil ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
7 | 850 | 739 | 19,124 | 24,054 | - | |
[kL] | 0 | 22 | 19 | 503 | 633 | ||||
Liquefied Petroleum Gas ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
3 | 2 | 15 | 935 | 403 | - | |
[m³] | 23 | 17 | 139 | 8,547 | 3,688 | ||||
Kerosene ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
3,506 | 2,960 | 9,224 | 22,475 | 18,068 | - | |
[kL] | 96 | 81 | 253 | 616 | 495 | ||||
Liquefied Natural Gas ★ | |||||||||
[GJ] | ② | FY23: 99.5% |
- | - | - | - | - | - | |
[m³] | - | - | - | - | - | ||||
Total Energy Consumption | |||||||||
Total Energy Consumption [GJ] | ② | FY23: 99.5% |
14,473,061 | 14,805,617 | 18,524,480 | 19,996,990 | 21,204,067 | - | |
Renewable Energy [GJ] | 280,938 | 2,805,978 | 5,453,983 | 8,627,653 | 10,729,394 | - | |||
Nonrenewable Energy [GJ] | 14,192,123 | 11,999,639 | 13,070,498 | 11,369,337 | 10,474,674 | - |
- [Notes]
-
- *1Electric power consumption at 1 Gbps
- *In FY30, electric power consumption is estimated to be 3,900,000 MWh. We have set the goal of using 100% virtually renewable energy for all electric power consumption by FY30.
- *Heat value (GJ) references conversion factors taken from the Agency for Natural Resources and Energy's crude oil conversion tool.
- *1
Resources and Waste
Category [Unit] | Boundary | Cover-age | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | |
---|---|---|---|---|---|---|---|---|
Results | Target | |||||||
Industrial Waste | ||||||||
Discharge Amount [t] ★ | ② | FY23: 99.5% |
5,226 | 6,313 | 6,196 | 6,398 | 6,696 | 7,000*1 |
Recycling Amount [t] ★ | 5,073 | 5,482 | 5,668 | 5,841 | 6,395 | - | ||
Final Disposal Amount*2 [t] ★ | 153 | 831 | 528 | 557 | 301 | 500 | ||
Hazardous Waste (PCB) | ||||||||
Disposal Amount [t] | ① | - | - | 0.49 | 0.18 | 0.22 | 1.60 | 1.60 |
Communication Equipment of Removed Base Stations | ||||||||
Final Disposal Rate [%] | ① | - | 1.40 | 0.51 | 0.20 | 0.04 | 0.03 | 1.00 |
Used Mobile Phones | ||||||||
Devices to be Reused or Recycled [Mobile Phones] | ① | - | 2,425,840 | 2,541,078 | 2,532,827 | 2,229,218 | 2,567,975 | - |
- [Notes]
-
- *1Setting targets that account for the expanded coverage
- *2The calculation method was changed from FY20.
- *1
Water
Category [Unit] | Boundary | Coverage | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 | ||
---|---|---|---|---|---|---|---|---|---|
Results | Target | ||||||||
Use of Water*1 | |||||||||
Water Withdrawal (Total)*2 [m³] ★ | ② | FY23: 99.5% |
1,191,210 | 1,330,834 | 675,729 | 731,594 | 1,854,053 | 1,986,000*3 | |
Municipal Potable Water [m³] ★ | 1,191,210 | 1,330,596 | 432,544 | 426,724 | 1,530,805 | - | |||
Groundwater [m³] ★ | - | - | 0 | 0 | 124 | - | |||
Industrial Water [m³] ★ | - | - | 237,230 | 278,467 | 286,442 | - | |||
Harvested Rainwater*4 [m³] ★ | - | 238*5 | 5,953 | 26,403 | 36,682 | - | |||
Water Discharge*6*7 [m³] ★ | 1,191,210 | 1,330,834 | 675,729 | 731,594 | 1,854,053 | - | |||
Water Consumption Per Area [m³/m²] | 0.73 | 0.82 | 0.58 | 0.62 | 0.73 | - | |||
Water Intake and Discharge Volume at Data Centers [m³] | 273,668 | 401,246 | 353,394 | 411,594 | 500,905 | 550,000*3 |
- [Notes]
-
- *1Due to a change in definition in FY22, the figures for FY21 have been retroactively adjusted.
- *2For offices not equipped with meters, consumption is estimated based on floor area using data on consumption per unit of floor area for the SoftBank Corp. group.
- *3Setting targets that account for the expanded coverage
- *4Harvested rainwater with roof drains
- *5Figures for the period from Sept. 2020 to Mar. 2021 after the relocation of the headquarters.
- *6Sewage only
- *7Amounts for water withdrawal and water discharge were the same, meaning that total net fresh water consumption was 0 m³
- *1
Environmental Management System
Category [Unit] | Boundary | Coverage | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 |
---|---|---|---|---|---|---|---|
ISO 14001 Certified Sites [Sites] | ① | - | - | - | 19 | 19 | 18 |
ISO 14001 Certification Rate* [%] | - | - | 100.0 | 100.0 | 100.0 |
- [Note]
-
- *The percentage of certified sites among all applicable sites (sites designated under the Act on the Rational Use of Energy as type 1 designated energy management factories, etc., or type 2 designated energy management factories, etc.)
- *
Compliance
Category [Unit] | Boundary | Coverage | FY2019 | FY2020 | FY2021 | FY2022 | FY2023 |
---|---|---|---|---|---|---|---|
Violations of Environmental Rules | |||||||
Times [Times] | ② | FY23: 99.5% |
0 | 0 | 0 | 0 | 0 |
Penalty Amount [Thousand yen] | 0 | 0 | 0 | 0 | 0 |