ESG Data Sheets
Third Party Assurance ☑
Environment
Environmental management system
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Rate of ISO14001 certification | % | sabah 88 lotto Group (production sites) |
70 | 72 | 76 | 78 | 80 |
In-house certification, auditing, etc. | % | sabah 88 lotto Group (production sites) |
30 | 28 | 24 | 22 | 20 |
Greenhouse gas emissions
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Scope1 (☑ Since FY2017) | t-CO2e | sabah 88 lotto Group | 162,899 | 128,088 | 134,684 | 122,710 | 115,672 |
Scope2 (Market-based) (☑ Since FY2017) | t-CO2e | sabah 88 lotto Group | 855,089 | 750,044 | 780,884 | 800,613 | 683,142 |
Scope2 (Location-based) (☑ Since FY2024) | t-CO2e | sabah 88 lotto Group | 934,334 | 892,033 | 935,454 | 913,279 | 825,601 |
Scope1,2 (Scope1+Scope2 Market-based) (☑ Since FY2018) | t-CO2e | sabah 88 lotto Group | 1,017,987 | 878,131 | 915,568 | 923,322 | 798,813 |
Scope3* | t-CO2e | sabah 88 lotto Group | 5,357,309 | 5,021,540 | 5,048,146 | 4,837,820 | 3,876,049 |
Category 1: Purchased products and services (☑ Since FY2018) | t-CO2e | sabah 88 lotto Group | 3,501,568 | 3,615,475 | 3,733,195 | 3,540,146 | 2,575,525 |
The calculation is made by multiplying the monetary value data of purchased products and services by the basic unit of emission based on the "Basic Guidelines for Calculating Greenhouse Gas Emissions through the Supply Chain". | |||||||
Category 2: Capital goods (☑ Since FY2024) | t-CO2e | sabah 88 lotto Group | 309,248 | 335,606 | 410,192 | 470,181 | 442,366 |
The calculation is made by multiplying the procurement amount of capital goods by the basic unit of emission based on the "Basic Guidelines for Calculating Greenhouse Gas Emissions through the Supply Chain. | |||||||
Category 3: Fuel and energy-related activities not included in Scope 1 or 2 |
t-CO2e | sabah 88 lotto Group | 181,407 | 130,086 | 141,631 | 157,129 | 168,579 |
The calculation is made by multiplying the amount of fuel and energy used by the basic guidelines for calculating greenhouse gas emissions through the supply chain. | |||||||
Category 4: Upstream transportation and distribution | t-CO2e | sabah 88 lotto Group | 127,943 | 97,756 | 145,082 | 99,293 | 126,718 |
Calculated in accordance with the Joint Guidelines for Calculating CO2 Emissions in the Logistics Sector (Ministry of Economy, Trade and Industry and Ministry of Land, Infrastructure, Transport and Tourism). In addition, upstream emissions of transportation fuels are additionally calculated from FY2019. | |||||||
Category 5: Waste generated in operations | t-CO2e | sabah 88 lotto Group | 7,403 | 5,891 | 19,132 | 18,036 | 18,237 |
The calculation is based on the emissions per unit of waste disposal method by waste type and emissions from waste transportation in the "Basic Guidelines for Calculating Greenhouse Gas Emissions through the Supply Chain". | |||||||
Category 6: Business travel | t-CO2e | sabah 88 lotto Group | 9,946 | 1,010 | 1,020 | 10,557 | 10,294 |
The calculation is based on the basic guidelines for calculating greenhouse gas emissions through the supply chain, multiplied by the number of employees. | |||||||
Category 7: Employee commuting | t-CO2e | sabah 88 lotto Group | 26,425 | 13,449 | 12,840 | 18,265 | 17,817 |
The calculation is made by multiplying the number of employees by the city category basic unit of the "Basic Guidelines for Calculating Greenhouse Gas Emissions through the Supply Chain. | |||||||
Category 8: Upstream leased assets | t-CO2e | sabah 88 lotto Group | 1,704 | 1,515 | 1,013 | 1,722 | 3,156 |
Calculated based on fuel consumption in leased vehicles used primarily for business purposes. | |||||||
Category 9: Downstream transportation and distribution | t-CO2e | sabah 88 lotto Group | 122,356 | 106,540 | 106,342 | 42,180 | 50,498 |
Starting with FY 2020 figures, the scenario settings have been changed and recalculated using the transport ton-kilometer method. In addition, upstream emissions of transportation fuels are additionally calculated from FY2020. | |||||||
Category 10: Processing of sold products | ー | sabah 88 lotto Group | Printers, cell phones, and power tools are finished products and are not processed. Electronic components are installed in the final product at the customer's company, but there is no significant processing of the electronic components themselves. | ||||
Category 11: Use of sold products | t-CO2e | sabah 88 lotto Group | 633,867 | 420,751 | 175,791 | 171,242 | 109,060 |
Calculated based on power consumption, product life, and unit sales of consumer products. The calculation is not performed because it is difficult to make a reasonable calculation due to the wide variety of electronic components, as well as differences in products, sizes, product life, etc., that use electronic components. | |||||||
Category 12: End-of-life treatment of sold products | t-CO2e | sabah 88 lotto Group | 12,259 | 10,284 | 19,134 | 28,931 | 62,726 |
The amount of emissions from consumer products and packaging materials is calculated based on the "Basic Guidelines for Calculating Greenhouse Gas Emissions through the Supply Chain," using emissions per unit of waste by type and treatment method, as well as emissions from waste transportation. The calculation is not performed for electronic components, as they are diverse in size and difficult to calculate rationally. | |||||||
Category 13: Downstream leased assets | ー | sabah 88 lotto Group | GHG emissions from tenants renting from affiliated companies are recorded in Scope 1 and 2. | ||||
Category 14: Franchising | ー | sabah 88 lotto Group | Not included in the table as sabah 88 lotto does not have any franchise locations. | ||||
Category 15: Investments | t-CO2e | sabah 88 lotto Group | ー | 283,177 | 282,774 | 280,138 | 291,073 |
From FY2020, GHG emissions of companies whose shares are acquired are accounted for as a percentage of the GHG emissions of the acquired companies. |
Data has been updated to improve the accuracy of data aggregation for some locations.
Greenhouse gas emissions by region
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Japan | t-CO2e | sabah 88 lotto Group | 618,987 | 526,657 | 572,348 | 603,028 | 495,026 |
China | t-CO2e | sabah 88 lotto Group | 133,562 | 116,727 | 111,230 | 78,127 | 65,751 |
Asia | t-CO2e | sabah 88 lotto Group | 88,458 | 93,667 | 97,466 | 115,031 | 110,284 |
Europe | t-CO2e | sabah 88 lotto Group | 66,510 | 57,751 | 53,245 | 44,261 | 48,728 |
North America | t-CO2e | sabah 88 lotto Group | 94,763 | 59,603 | 57,890 | 58,292 | 62,300 |
Central and South America | t-CO2e | sabah 88 lotto Group | 15,708 | 23,726 | 23,390 | 24,583 | 16,725 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Greenhouse gas emissions not including CO2 emissions from energy production
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
CO2 | t-CO2e | sabah 88 lotto Group | 2,547 | 1 | 57 | 36 | 48 |
CH4 | t-CO2e | sabah 88 lotto Group | 60 | 28 | 57 | 46 | 39 |
N2O | t-CO2e | sabah 88 lotto Group | 152 | 188 | 293 | 400 | 264 |
HFCs | t-CO2e | sabah 88 lotto Group | 14 | 165 | 72 | 60 | 6,377 |
PFCs | t-CO2e | sabah 88 lotto Group | 598 | 598 | 687 | 749 | 813 |
SF6 | t-CO2e | sabah 88 lotto Group | 1,990 | 1,365 | 974 | 1,180 | 1,005 |
NF3 | t-CO2e | sabah 88 lotto Group | 232 | 202 | 232 | 267 | 177 |
Total | t-CO2e | sabah 88 lotto Group | 5,593 | 2,547 | 2,372 | 2,738 | 8,724 |
Due to the rounding off of fractions, breakdown and total amount may differ.
CO2 emissions associated with freight transport
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
CO2 emissions associated with freight transport | t-CO2e | sabah 88 lotto | 7,721 | 6,784 | 7,003 | 8,141 | 6,924 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Energy
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Total amount of energy produced or purchased from natural sources | MWh | sabah 88 lotto Group | 3,510 | 12,100 | 25,929 | 78,396 | 77,802 |
Total non-renewable energy consumption | MWh | sabah 88 lotto Group | 2,768,889 | 2,912,490 | 2,669,446 | 2,473,821 | 2,240,131 |
Non-renewable fuel | MWh | sabah 88 lotto Group | 1,068,787 | 1,098,313 | 717,167 | 632,020 | 525,232 |
Electricity from non-renewable sources | MWh | sabah 88 lotto Group | 1,697,856 | 1,811,093 | 1,942,369 | 1,831,779 | 1,708,509 |
Energy for steam, heat, cooling and other uses purchased from non-renewable sources |
MWh | sabah 88 lotto Group | 2,247 | 3,085 | 9,910 | 10,021 | 6,390 |
Total energy consumption | MWh | sabah 88 lotto Group | 2,772,399 | 2,924,590 | 2,695,375 | 2,552,217 | 2,317,933 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Due to the rounding off of fractions, breakdown and total amount may differ.
Water intake
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Net freshwater withdrawal (☑ Since FY2023) | 1,000 m3 | sabah 88 lotto Group | 4,871 | 5,076 | 5,412 | 5,524 | 4,908 |
Groundwater withdrawal (☑ Since FY2023) | 1,000 m3 | sabah 88 lotto Group | 11,157 | 11,857 | 12,456 | 11,370 | 10,462 |
Total municipal water supply and industrial water (☑ Since FY2019) | 1,000 m3 | sabah 88 lotto Group | 16,028 | 16,933 | 17,868 | 16,894 | 15,371 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Due to the rounding off of fractions, breakdown and total amount may differ.
Water intake by region
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Japan | 1,000 m3 | sabah 88 lotto Group | 13,174 | 14,062 | 14,604 | 13,747 | 12,508 |
Europe | 1,000 m3 | sabah 88 lotto Group | 214 | 213 | 237 | 240 | 213 |
West Asia | 1,000 m3 | sabah 88 lotto Group | 23 | 24 | 28 | 25 | 16 |
Southeast Asia | 1,000 m3 | sabah 88 lotto Group | 728 | 729 | 968 | 1,027 | 1,049 |
East Asia | 1,000 m3 | sabah 88 lotto Group | 1,310 | 1,219 | 1,173 | 970 | 831 |
North America | 1,000 m3 | sabah 88 lotto Group | 282 | 404 | 431 | 523 | 432 |
Central and South America | 1,000 m3 | sabah 88 lotto Group | 297 | 282 | 426 | 362 | 321 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Due to the rounding off of fractions, breakdown and total amount may differ.
Wastewater recycling
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Amount of recycled wastewater: Japan | 1,000 m3 | sabah 88 lotto Group | 2,785 | 2,423 | 2,399 | 2,298 | 2,421 |
Amount of recycled wastewater: East Asia | 1,000 m3 | sabah 88 lotto Group | 0 | 28 | 0 | 98 | 87 |
Amount of recycled wastewater: Southeast Asia | 1,000 m3 | sabah 88 lotto Group | ー | ー | 2 | 2 | 2 |
Amount of recycled wastewater: North America | 1,000 m3 | sabah 88 lotto Group | 34 | 105 | 90 | 95 | 111 |
Amount of recycled wastewater: Europe | 1,000 m3 | sabah 88 lotto Group | ー | ー | ー | 2 | 2 |
Total amount of recycled wastewater | 1,000 m3 | sabah 88 lotto Group | 2,819 | 2,556 | 2,491 | 2,495 | 2,624 |
Wastewater recycling ratio | % | sabah 88 lotto Group | 18 | 15 | 14 | 15 | 17 |
Due to the rounding off of fractions, breakdown and total amount may differ.
Wastewater
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Total of wastewater discharged to sewer system | 1,000 m3 | sabah 88 lotto Group | 1,559 | 2,336 | 2,394 | 2,789 | 2,773 |
Total of discharge into rivers and lakes | 1,000 m3 | sabah 88 lotto Group | 11,377 | 13,165 | 14,090 | 12,957 | 11,725 |
Total discharged water volume (☑ Since FY2019) | 1,000 m3 | sabah 88 lotto Group | 12,936 | 15,501 | 16,484 | 15,747 | 14,498 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Due to the rounding off of fractions, breakdown and total amount may differ.
Wastewater volume by region
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Japan | 1,000 m3 | sabah 88 lotto Group | 10,282 | 12,824 | 13,426 | 12,790 | 12,136 |
Europe | 1,000 m3 | sabah 88 lotto Group | 212 | 212 | 235 | 238 | 193 |
West Asia | 1,000 m3 | sabah 88 lotto Group | 23 | 24 | 28 | 20 | 13 |
Southeast Asia | 1,000 m3 | sabah 88 lotto Group | 674 | 750 | 893 | 950 | 882 |
East Asia | 1,000 m3 | sabah 88 lotto Group | 1,176 | 1,061 | 1,108 | 900 | 754 |
North America | 1,000 m3 | sabah 88 lotto Group | 272 | 386 | 415 | 510 | 409 |
Central and South America | 1,000 m3 | sabah 88 lotto Group | 297 | 244 | 379 | 339 | 110 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Due to the rounding off of fractions, breakdown and total amount may differ.
Wastes
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Total amount of waste generated (☑ Since FY2024) | t | sabah 88 lotto Group | ー | ー | ー | ー | 41,582 |
Total waste emissions (☑ Since FY2020) | t | sabah 88 lotto Group | 22,207 | 28,586 | 35,029 | 38,207 | 32,608 |
Amount of recycled | t | sabah 88 lotto Group | 20,494 | 24,867 | 32,011 | 35,445 | 29,972 |
Reclaimed waste | t | sabah 88 lotto Group | 1,713 | 2,299 | 3,018 | 2,761 | 2,636 |
Hazardous waste generated (☑ Since FY2020) (special controlled industrial waste in Japan) |
t | sabah 88 lotto Group | 13,075 | 14,767 | 17,622 | 20,370 | 15,557 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Waste emissions: General waste from Japan and non-hazardous waste from overseas are excluded from the scope of this report.
Recycled amount: The total of material, chemical, and thermal recycling.
Waste recycling rate
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Recycling rate | % | sabah 88 lotto Group | 92.3 | 92.0 | 91.4 | 92.8 | 93.7 |
Recycling rate: Japan | % | sabah 88 lotto Group | 99.8 | 99.8 | 99.6 | 99.8 | 99.7 |
Recycling rate: Excluding Japan | % | sabah 88 lotto Group | 77.5 | 75.1 | 72.7 | 77.9 | 85.2 |
In and before FY2023, this was calculated by dividing by total waste emissions. After FY2024, it was calculated by dividing by total amount of waste generated.
Chemical substances
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Handling volume | t | sabah 88 lotto | 3,939 | 4,237 | 4,719 | 4,371 | 3,799 |
Emissions + Amount transferred | t | sabah 88 lotto | 413 | 444 | 579 | 573 | 380 |
Emissions | t | sabah 88 lotto | 154 | 167 | 209 | 268 | 102 |
Amount transferred | t | sabah 88 lotto | 259 | 277 | 370 | 305 | 278 |
VOC handling volumes (☑ Since FY2020) | t | sabah 88 lotto Group (Japan) |
3,998 | 4,259 | 4,883 | 4,696 | 4,029 |
VOC atmospheric emissions (☑ Since FY2020) | t | sabah 88 lotto Group (Japan) |
600 | 573 | 717 | 754 | 392 |
Data has been updated to improve the accuracy of data aggregation for some locations.
Twenty substances designated by Japan Electronics and Information Technology Industries Association (JEITA) are the subjects of the VOC calculation.
Pollutants
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Atmospheric pollutants: NOX | t | sabah 88 lotto | 32 | 36 | 36 | 39 | 37 |
Atmospheric pollutants: SOX | t | sabah 88 lotto | 6 | 5 | 4 | 2 | 3 |
Water pollutants: BOD | t | sabah 88 lotto | 31 | 34 | 45 | 38 | 30 |
Water pollutants: COD | t | sabah 88 lotto | 45 | 47 | 54 | 49 | 43 |
Investments
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Environmental and energy investment | Million yen | sabah 88 lotto Group (Japan) |
809 | 781 | 711 | 734 | 929 |
Single-year economic effect of reducing environmental impact | Million yen | sabah 88 lotto Group (Japan) |
128 | 103 | 140 | 170 | 149 |
Materials
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Amount of each raw material used (PRTR intake) |
t | sabah 88 lotto | 3,939 | 4,237 | 4,719 | 4,371 | 3,799 |
Products
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Weight of product collected | t | KDC (Japan) | 2,329.10 | 2,263.80 | 2,371.50 | 2,402.40 | 2,379.50 |
Reused weight | t | KDC (Japan) | 18.0 | 15.7 | 9.1 | 10.2 | 5.8 |
Recycled weight | t | KDC (Japan) | 2,311.10 | 2,248.10 | 2,362.40 | 2,392.20 | 2,373.70 |
Reuse and recycle rate | % | KDC (Japan) | 100 | 100 | 100 | 100 | 100 |
Container packaging material usage | t | sabah 88 lotto | 25 | 24 | 17 | 15 | 17 |
KDC: sabah 88 lotto Document Solutions Inc.
Environmental labeling
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Return on Type III Environmental Labels | % | sabah 88 lotto Group | 3 | 3 | 3 | 2 | 2 |
Return on other eco-labels (EPEAT, ENRGY STAR ®, Eco Mark, Blue Angel, etc.) | % | sabah 88 lotto Group | 14 | 14 | 11 | 6 | 5 |
Environmental violations
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of environmental violations (fines of USD 10,000 or more ) |
ー | sabah 88 lotto Group | 0 | 0 | 0 | 0 | 1 |
Fines for environmental violations (fines of USD 10,000 or more ) |
Yen | sabah 88 lotto Group | 0 | 0 | 0 | 0 | 57,715 |
Environmental debt at the end of fiscal year | Yen | sabah 88 lotto Group | 0 | 0 | 0 | 0 | 0 |
Social
Employee demographics
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Men | ー | sabah 88 lotto Group | 47,147 | 48,857 | 51,667 | 50,239 | 49,353 |
Women | ー | sabah 88 lotto Group | 28,358 | 29,633 | 31,334 | 30,970 | 29,832 |
Percentage of female employees | % | sabah 88 lotto Group | 37.6 | 37.8 | 37.8 | 38.1 | 37.7 |
Total | ー | sabah 88 lotto Group | 75,505 | 78,490 | 83,001 | 81,209 | 79,185 |
Men | ー | sabah 88 lotto Group (Japan) |
21,313 | 21,977 | 22,609 | 22,941 | 23,010 |
Women | ー | sabah 88 lotto Group (Japan) |
4,912 | 5,145 | 5,432 | 5,614 | 5,781 |
Percentage of female employees | % | sabah 88 lotto Group (Japan) |
18.7 | 19.0 | 19.4 | 19.7 | 20.1 |
Total | ー | sabah 88 lotto Group (Japan) |
26,225 | 27,122 | 28,041 | 28,555 | 28,791 |
Number of male in R&D department | ー | sabah 88 lotto | ー | 2,675 | 2,385 | 2,246 | 2,505 |
Number of female in R&D department | ー | sabah 88 lotto | ー | 340 | 224 | 245 | 272 |
Percentage of female employees in R&D department | % | sabah 88 lotto | ー | 11.3 | 8.6 | 9.8 | 9.8 |
Dispatched workers | ー | sabah 88 lotto | ー | ー | ー | ー | 95 |
Contracted employees | ー | sabah 88 lotto | ー | ー | ー | ー | 5 |
Part-time sales staff, Part-time workers | ー | sabah 88 lotto | ー | ー | ー | ー | 3,435 |
Management demographics
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of upper-level management positions (Executive Officers or higher) held by men | ー | sabah 88 lotto | ー | ー | ー | ー | 32 |
Number of upper-level management positions (Executive Officers or higher) held by women | ー | sabah 88 lotto | ー | ー | ー | ー | 4 |
Percentage of upper-level management positions (Executive Officers or higher) held by women | ー | sabah 88 lotto | ー | ー | ー | ー | 11.1 |
Number of management positions held by men | ー | sabah 88 lotto Group | ー | 7,644 | 7,682 | 7,859 | 6,646 |
Number of management positions held by women | ー | sabah 88 lotto Group | ー | 857 | 1,022 | 1,203 | 930 |
Percentage of management positions held by women | % | sabah 88 lotto Group | ー | 10.1 | 11.7 | 13.3 | 12.3 |
Total | ー | sabah 88 lotto Group | ー | 8,501 | 8,704 | 9,062 | 7,576 |
Number of management positions held by men | ー | sabah 88 lotto | 3,014 | 3,163 | 2,803 | 2,832 | 2,893 |
Number of management positions held by women | ー | sabah 88 lotto | 96 | 116 | 126 | 143 | 161 |
Percentage of management positions held by women* | % | sabah 88 lotto | 3.0 | 3.5 | 4.1 | 4.8 | 5.3 |
Total | ー | sabah 88 lotto | 3,093 | 3,280 | 2,929 | 2,975 | 3,054 |
Number of senior positions (junior management level and above) held by men | ー | sabah 88 lotto | 2,582 | 2,958 | 2,560 | 2,684 | 2,759 |
Number of senior positions (junior management level and above) held by women (☑ Since FY2020) | ー | sabah 88 lotto | 284 | 346 | 383 | 424 | 454 |
Percentage of senior positions (junior management level and above) held by women | % | sabah 88 lotto | 9.9 | 10.5 | 13.0 | 13.6 | 14.1 |
Number of sales division management positions held by men | ー | sabah 88 lotto | 2,091 | 2,110 | 1,971 | 1,910 | 1,919 |
Number of sales division management positions held by women | ー | sabah 88 lotto | 41 | 50 | 52 | 57 | 71 |
Percentage of sales division management positions held by women | % | sabah 88 lotto | 1.9 | 2.3 | 2.6 | 2.9 | 3.6 |
Number of general manager or equivalent positions held by men | ー | sabah 88 lotto | 240 | 232 | 225 | 224 | 230 |
Number of general manager or equivalent positions held by women | ー | sabah 88 lotto | 1 | 4 | 4 | 3 | 3 |
Percentage of general managers or equivalent positions held by women | % | sabah 88 lotto | 0.4 | 1.6 | 1.7 | 1.3 | 1.3 |
FY2026 target: 8%
Recruitment
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of new graduates employed (men) | ー | sabah 88 lotto | 589 | 524 | 704 | 711 | 838 |
Number of new graduates employed (women) | ー | sabah 88 lotto | 201 | 155 | 206 | 208 | 272 |
Percentage of new graduates employed (women) | % | sabah 88 lotto | 25.4 | 22.8 | 22.6 | 22.6 | 24.5 |
Number of mid-career hires (men) | ー | sabah 88 lotto | 211 | 253 | 546 | 549 | 338 | Number of mid-career hires (women) | ー | sabah 88 lotto | 52 | 29 | 65 | 101 | 56 |
Percentage of mid-career hires | % | sabah 88 lotto | 19.8 | 10.3 | 10.6 | 15.5 | 14.2 |
Average years of service
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Men | Years | sabah 88 lotto | 18 | 18 | 17 | 16 | 15 |
Women | Years | sabah 88 lotto | 18 | 16 | 16 | 15 | 15 |
Age groups
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Men (ages 10 to 19) | ー | sabah 88 lotto | 507 | 352 | 505 | 660 | 499 |
Women (ages 10 to 19) | ー | sabah 88 lotto | 158 | 94 | 134 | 200 | 167 |
Men (ages 20 to 29) | ー | sabah 88 lotto | 2,673 | 3,009 | 3,464 | 3,685 | 3,970 |
Women (ages 20 to 29) | ー | sabah 88 lotto | 796 | 871 | 978 | 902 | 1,164 |
Men (ages 30 to 39) | ー | sabah 88 lotto | 3,518 | 3,514 | 3,515 | 3,567 | 3,713 |
Women (ages 30 to 39) | ー | sabah 88 lotto | 1,119 | 1,062 | 980 | 902 | 871 |
Men (ages 40 to 49) | ー | sabah 88 lotto | 4,109 | 4,046 | 3,948 | 3,863 | 3,747 |
Women (ages 40 to 49) | ー | sabah 88 lotto | 1,075 | 1,110 | 1,130 | 1,183 | 1,179 |
Men (ages 50 to 59) | ー | sabah 88 lotto | 5,237 | 5,222 | 5,090 | 4,972 | 4,855 |
Women (ages 50 to 59) | ー | sabah 88 lotto | 495 | 574 | 619 | 707 | 773 |
Men (ages 60 to 69) | ー | sabah 88 lotto | 25 | 47 | 31 | 51 | 46 |
Women (ages 60 to 69) | ー | sabah 88 lotto | 2 | 4 | 0 | 2 | 7 |
Average age | Age | sabah 88 lotto | 41.4 | 41.1 | 40.5 | 39.7 | 40.0 |
People with disability
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of employees with disabilities other than severe | ー | sabah 88 lotto | 263 | 282 | 316 | 314 | 352 |
Number of employees with severe disabilities | ー | sabah 88 lotto | 142 | 143 | 145 | 143 | 150 |
Percentage of employees with disabilities | % | sabah 88 lotto | 2.24 | 2.31 | 2.37 | 2.36 | 2.53 |
Remuneration
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Average earnings for male employees in non-management positions | Yen | sabah 88 lotto | 5,131,291 | 4,918,565 | 6,547,696 | 7,288,584 | 6,944,353 |
Average earnings for female employees in non-management positions | Yen | sabah 88 lotto | 4,055,248 | 4,013,296 | 4,935134 | 5,359,978 | 5,328,877 | Average earnings for employees | Yen | sabah 88 lotto | 7,158,563 | 6,840,910 | 7,252,239 | 7,233,043 | 6,968,288 | Median earnings for employees | Yen | sabah 88 lotto | ー | 6,548,305 | 6,914,325 | 6,885,650 | 6,727,987 |
Employee turnover
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Turnover rate for employees leaving for personal reasons | % | sabah 88 lotto | 2.0 | 1.0 | 1.8 | 2.3 | 2.5 |
Turnover rate for male employees leaving for personal reasons | % | sabah 88 lotto | 1.2 | 0.8 | 1.5 | 1.9 | 1.4 |
Turnover rate for female employees leaving for personal reasons | % | sabah 88 lotto | 0.4 | 0.3 | 0.3 | 0.5 | 1.2 |
Turnover rate for all employees | % | sabah 88 lotto | 4.0 | 4.0 | 4.5 | 3.1 | 3.0 |
Uptake of available systems
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Percentage of annual paid leave taken | % | sabah 88 lotto | 67 | 68 | 70 | 78 | 81 |
Average number of days of annual paid leave taken | Days | sabah 88 lotto | 13 | 13 | 14 | 16 | 16 |
Number of employees using the parental leave system | ー | sabah 88 lotto | 201 | 190 | 202 | 282 | 334 |
Number of employees using the parental shortened workday system | ー | sabah 88 lotto | 450 | 498 | 502 | 473 | 473 |
Rate of male employees using the parental leave system | % | sabah 88 lotto | 3.6 | 7.0 | 11.9 | 21.2 | 30.7 |
Number of employees using the family nursing care leave system | ー | sabah 88 lotto | 10 | 8 | 10 | 3 | 11 |
Average overtime hours | h/M/Person | sabah 88 lotto | 19.4 | 16.7 | 28.0 | 24.7 | 14.6 |
Unions
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Percentage of workers belonging to a union | % | sabah 88 lotto | 95.8 | 96.3 | 94.9 | 95.3 | 97.5 |
Social contribution spending
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Charitable donations | Million yen | FY2018-FY2021: sabah 88 lotto Group (Japan) From FY2021: sabah 88 lotto Group |
2 | 101 | 217 | 182 | 165 |
Time (employee volunteer activities during working hours) | Million yen | 28 | 10 | 3 | 5 | 11 | |
In-kind donations (provision of products and services, donation projects) | Million yen | 10 | 25 | 2 | 1 | 2 | |
Management expenses | Million yen | 63 | 44 | 47 | 82 | 53 | |
Total expenditure | Million yen | 102 | 180 | 270 | 270 | 232 | |
Number of external lectures (science education, environmental education, career education, etc.) |
ー | sabah 88 lotto Group (Japan) |
76 | 8 | 10 | 50 | 47 |
Number of forest conservation and greenification activities | ー | sabah 88 lotto Group (Japan) |
4 | 5 | 8 | 8 | 6 |
Political expenditures
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Contributions to lobbying, etc. | Million yen | FY2018-FY2020: sabah 88 lotto From FY2021: sabah 88 lotto Group |
1 | 0 | 2 | 25 | 39 |
Contributions to local, regional and national political campaigns |
Million yen | 0 | 0 | 0 | 0 | 0 | |
Payments and donations to business organizations or tax-exempt organizations | Million yen | 37 | 49 | 53 | 73 | 72 | |
Other | Million yen | 0 | 0 | 0 | 0 | 0 | |
Total political funding and expenditure | Million yen | sabah 88 lotto | 38 | 49 | 55 | 98 | 110 |
Safety management system
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Rate of ISO45001 certification | % | sabah 88 lotto Group (production sites) |
53 | 51 | 53 | 56 | 52 |
In-house certification, auditing, etc. | % | sabah 88 lotto Group (production sites) |
47 | 49 | 23 | 63 | 48 |
Accidents and diseases
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Lost time accident rate (☑ Since FY2020) | Incidents per million hours | sabah 88 lotto Group (Japan) |
0.22 | 0.30 | 0.38 | 0.32 | 0.49 |
Number of fatal accidents (☑ Since FY2022) | ー | 0 | 0 | 1 | 0 | 0 | |
Occupational disease rate (☑ Since FY2020) | Incidents per million hours | 0.07 | 0.21 | 0.22 | 0.22 | 0.26 |
Personal information
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of serious complaints | ー | sabah 88 lotto | 0 | 0 | 0 | 0 | 0 |
Governance
Board of Directors
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of male Directors | ー | sabah 88 lotto | 15 | 14 | 8 | 8 | 8 |
Number of female Director | ー | sabah 88 lotto | 1 | 1 | 1 | 1 | 1 |
Percentage of female Directors | % | sabah 88 lotto | 6 | 7 | 11 | 11 | 11 |
Number of Outside Directors | ー | sabah 88 lotto | 3 | 3 | 3 | 3 | 3 |
Number of Internal Directors | ー | sabah 88 lotto | 13 | 12 | 6 | 6 | 6 |
Percentage of Outside Directores | % | sabah 88 lotto | 19 | 20 | 33 | 33 | 33 |
Number of Outside Directors designated as Independent Directors | ー | sabah 88 lotto | 3 | 3 | 3 | 3 | 3 |
Number of non-executive Directors and Independent Directors | ー | sabah 88 lotto | 3 | 3 | 3 | 3 | 3 |
Number of outside members with industry experience and non-management members | ー | sabah 88 lotto | 0 | 0 | 1 | 1 | 1 |
Number of meetings of the Board of Directors | ー | sabah 88 lotto | 12 | 13 | 12 | 12 | 13 |
Rate of attendance at meetings of the Board of Directors | % | sabah 88 lotto | 93 | 87 | 97 | 100 | 100 |
Average years of service of Directors | Years | sabah 88 lotto | 4 | 5 | 6 | 7 | 7 |
Audit & Supervisory Board
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of Audit & Supervisory Board Members | ー | sabah 88 lotto | 4 | 4 | 4 | 4 | 4 |
Number of Outside Auditors | ー | sabah 88 lotto | 2 | 2 | 2 | 2 | 2 |
Number of Audit & Supervisory Board meetings | ー | sabah 88 lotto | 8 | 8 | 9 | 8 | 9 |
Average attendance at Audit & Supervisory Board meetings | % | sabah 88 lotto | 100 | 98 | 100 | 100 | 100 |
Nominating and Remuneration Committee
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of Nomination and Remuneration Committee members | ー | sabah 88 lotto | 4 | 4 | 4 | 4 | 4 |
Number of Outside Directors on the Nomination and Remuneration Committee | ー | sabah 88 lotto | 3 | 3 | 3 | 3 | 3 |
Number of meetings of the Nomination and Remuneration Committee | ー | sabah 88 lotto | 3 | 2 | 2 | 2 | 3 |
Average attendance at Nomination and Remuneration Committee meetings | % | sabah 88 lotto | 92 | 100 | 100 | 100 | 100 |
Top management
Item | Unit | Boundary of the Report | FY2020 | FY2021 | FY2022 | FY2023 | FY2024 |
---|---|---|---|---|---|---|---|
Number of male executives (Board of Directors) | ー | sabah 88 lotto Group | ー | 145 | 177 | 166 | 149 |
Number of female executives (Board of Directors) | ー | sabah 88 lotto Group | ー | 7 | 10 | 8 | 6 |
Percentage of female exectives | % | sabah 88 lotto Group | ー | 4.6 | 5.3 | 4.6 | 3.9 |
Number of male executives (Exectives, Auditors) |
ー | sabah 88 lotto | 37 | 35 | 35 | 38 | 31 |
Number of female executives (Exectives, Auditors) |
ー | sabah 88 lotto | 2 | 3 | 3 | 3 | 2 |
Percentage of female exectives | % | sabah 88 lotto | 5.1 | 7.9 | 7.9 | 7.3 | 6.1 |
Corporate Motto / Management Rationale / Management Philosophy
sabah 88 lotto Group Sustainability
- Top Management Message
- Sustainability Management
- sabah 88 lotto Group CSR Guidelines
- Stakeholder Engagement
- Environmental Safety Policy / Targets and Promotion System
- Measures to Fight Climate Change -Information Disclosure Based on TCFD Recommendations-
- Water Risk Response
- Contribution to the Circular Economy/ Approaches to Waste Reduction
- Initiatives to Prevent Environmental Pollution
- Biodiversity Conservation
- Environmentally Friendly Products / Green Procurement
- Environmental Communication
- A History of Our Environmental Protection Activities
Social Citizenship Initiatives
- The sabah 88 lotto Group Human Capital
- Respect for Human Rights
- DEI Promotion
- Occupational Safety
- Occupational Health, Safety, and Fitness Initiatives
- Supply Chain Management
- Approaches to Raising Quality and Customer Satisfaction Levels
- Social Contribution Activities
- Academic Advancement and Research
- Support for Culture and the Arts
- International Exchanges and Collaboration
- Environmental Protection Activities
- Local Community Activities
- Social Welfare Activities
- Contributions to Society through Business Activities