|
(Nonconsolidated) |
FY2023 |
FY2024 |
FY2025 |
|
Number of Directors※ |
9 |
9 |
9 |
|
Ratio of Female Directors※ |
11.1% |
11.1% |
11.1% |
|
Number of Outside Directors※ |
5 |
5 |
5 |
|
Number of Board of Directors Meetings Held |
18 |
11 |
12 |
|
Attendance Rate for the Board of Directors Meetings |
99% |
98% |
100％ |
※ As of the Annual General Meeting of Shareholders held after the end of each respective fiscal year.
|
(Nonconsolidated) |
FY2023 |
FY2024 |
FY2025 |
|
Number of Employees |
2,288 |
2,309 |
2,419 |
|
Male |
1,314 |
1,352 |
1,419 |
|
Ratio |
57% |
59% |
59% |
|
Female |
974 |
957 |
1,000 |
|
Ratio |
43% |
41% |
41% |
|
Competitive Ratio in Recruitment (Applicant base) |
22.1 |
9.4 |
9.4 |
|
Male |
19.1 |
8.7 |
9.1 |
|
Female |
38.2 |
12.7 |
10.5 |
|
Average Age |
43.0 |
43.0 |
42.7 |
|
Male |
42.2 |
42.0 |
41.5 |
|
Female |
44.0 |
44.5 |
44.4 |
|
Average Years of Service |
13 years 9 months |
13 years 7 months |
13 years 1 month |
|
Male |
12 years 6 months |
12 years 0 month |
11 years 5 months |
|
Female |
15 years 6 months |
15 years 10 months |
15 years 7 months |
|
Average Monthly Salary |
¥499 thousand |
¥526 thousand |
¥536 thousand |
|
Number of Business-Limited Employees |
136 |
122 |
105 |
|
Number of Contract/Fixed-term Employees |
290 |
313 |
360 |
|
Number of Temporary Employees |
0 |
0 |
0 |
|
Number of Overseas Locals Recruited |
0 |
0 |
0 |
|
Number of New University Graduates Hired |
53 |
62 |
81 |
|
Male |
31 |
52 |
64 |
|
Ratio |
58% |
84% |
79% |
|
Female |
22 |
10 |
17 |
|
Ratio |
42% |
16% |
21% |
|
Number of Mid-career Personnel Recruited |
72 |
147 |
172 |
|
Male |
53 |
102 |
104 |
|
Female |
19 |
45 |
68 |
|
Ratio of Female Managing Executive Officer |
14% |
8% |
15% |
|
Number of Managers |
776 |
794 |
805 |
|
Number of Female Managers |
|||
|
Section Manager Level or Higher |
168 |
164 |
179 |
|
Ratio |
21.6% |
20.7% |
22.2% |
|
Assistant Manager Level or Higher |
513 |
503 |
537 |
|
Ratio |
34.1% |
33.2% |
34.5% |
|
Number of Employed Persons with Disabilities |
45 |
49 |
47 |
|
Employment Rate of Persons with Disabilities |
2.4% |
2.7% |
2.4% |
|
Turnover Ratio (Voluntary) |
4.4% |
4.9% |
3.5% |
|
Average Overtime Hours per Month |
19.8 |
19.7 |
19.6 |
|
Average Paid Leave Acquisition Rate ~{※1} |
67.6% |
69.5% |
71.0％ |
|
Ratio of Employees Taking Consecutive Leaves (One Week Leaves) ~{※1} |
97.5% |
98.6% |
98.3% |
|
Number of Employees Taking Childcare Leave |
50 |
42 |
53 |
|
Male |
21 |
14 |
31 |
|
Female |
29 |
28 |
22 |
|
Number of Employees Taking Life Support Leave |
11 |
3 |
11 |
|
Number of Employees Taking Family Care Leave |
8 |
10 |
9 |
|
Number of Employees Registering for Concurrent Business or Side Business |
81 |
89 |
92 |
|
Ratio of Employees Using Teleworking ~{※2} |
51.0% |
62.0% |
60.6% |
|
Number of Employees Using Continued Employment System |
40 |
42 |
52 |
|
Number of Employees Using Come Back System ~{※3} |
103 |
112 |
113 |
|
Male |
51 |
58 |
61 |
|
Female |
52 |
54 |
52 |
|
Number of Job-type or Employment-status Changes |
39 |
33 |
39 |
|
Male |
11 |
11 |
9 |
|
Female |
28 |
22 |
30 |
- The average paid leave acquisition rate and the ratio of employees taking consecutive leave include personnel seconded to the Bank and exclude personnel seconded to other organizations.
- The ratio of SBI Shinsei Bank employees who used teleworking at least once during each fiscal year.
- The number of SBI Shinsei Bank employees who left the Bank and were re-employed and working at the Bank (excluding employees using continued employment system).
|
(Consolidated) |
FY2023 |
FY2024 |
FY2025 |
|
Environment Impact Data |
|||
|
Gas Usage (m3) |
45,600 |
46,225 |
47,093 |
|
Heavy Oil Usage (kl) |
2 |
1 |
1 |
|
Gasoline Usage (kl) |
265 |
262 |
276 |
|
Diesel Usage (kl) |
74 |
97 |
55 |
|
Hot Water Usage (GJ) |
41 |
43 |
13 |
|
Cold Water Usage (GJ) |
1,885 |
3,022 |
2,320 |
|
Electricity Usage (MWh) |
25,404 |
23,473 |
21,558 |
|
Tap Water Consumption (t) |
9,896 |
10,372 |
10,367 |
|
CO₂ Emissions |
|||
|
CO₂ Emissions (t) |
10,031 |
8,929 |
7,717 |
|
Scope1 (Direct Emissions)(t) |
921 |
698 |
884 |
|
Gas |
102 |
97 |
98 |
|
Heavy Oil |
5 |
2 |
3 |
|
Gasoline |
615 |
600 |
743 |
|
Diesel |
200 |
262 |
39 |
|
Scope2 (Indirect Emissions)(t) |
9,110 |
8,230 |
6,833 |
|
Hot Water |
2 |
2 |
1 |
|
Cold Water |
107 |
161 |
123 |
|
Electricity |
9,001 |
8,093 |
6,709 |
|
Scope3 (Other Indirect Emissions)(t) |
3,665 |
3,711 |
3,917 |
|
Business Travel |
2,070 |
1,944 |
2,286 |
|
Commuting |
1,595 |
1,767 |
1,631 |
|
Amount of Waste Generated/Recycling |
|||
|
Waste Generated (t) |
163 |
175 |
180 |
|
Amount Recycled (t) |
93 |
104 |
95 |
|
Amount of Waste Disposal (t) |
70 |
71 |
85 |
|
Recycling Rate |
57% |
59% |
53% |
- Environment Impact Data and CO₂ Emissions are the total of SBI Shinsei Bank, its main domestic subsidiaries, and UDC Finance.Of these, Scope 3 are the total of SBI Shinsei Bank's Main domestic subsidiaries. Amount of Waste Generated/Recycling is the total for SBI Shinsei Bank and group companies located in the SBI Shinsei Bank Head Office in the Nihonbashi Muromachi Nomura Building.
- For the CO₂ conversion associated with the use of gas, heavy oil, gasoline, light oil, and chilled water, emission factors based on the Act on Promotion of Global Warming Countermeasures are used. For electricity, the adjusted emission factors by electric utility companies for FY2023, as stipulated under the "Greenhouse Gas Emissions Calculation, Reporting and Disclosure System" based on the same Act, are applied.
- In line with the change in fiscal year, UDC's reporting period for FY2024 spans 15 months, from January 2024 to March 2025.
|
Asset Type |
Balance to be Calculated (JPY1billion) |
GHG Emissions (ktCO2e) |
Carbon Intensity |
Data Quality Score |
|
Business Corporations |
4,294 |
5,576 |
1.30 (ktCO2e/JPY1billion) |
2.40 |
|
Project Finance |
563 |
767 |
1.36 (ktCO2e/MWh) |
2.98 |
|
Real Estate Nonrecourse Loan |
950 |
241 |
0.03 (ktCO2e/1,000m2) |
4.42 |
|
Housing Loans |
1,549 |
107 |
1.56 (ktCO2e/dwelling) |
4.13 |
- The GHG emissions are calculated in accordance with the international standards published by PCAF.
- Data Quality Score: The accuracy of measurement and estimation approaches for GHG emissions of investees is scored on a five-point scale, with lower scores indicating higher accuracy.
- The GHG emissions represent the portion attributable to our banking group from the total emissions of each investee.
- Based on the asset type classifications under the PCAF standard, corporate entities are assessed using the methodologies for “listed equity and corporate bonds” and “business loans and unlisted equity,” residential mortgages under “residential real estate,” project finance under “project finance,” and commercial real estate non-recourse loans under “commercial real estate,” to calculate the GHG emissions of the investee portfolio.
|
(Consolidated) |
FY2023 |
FY2024 |
FY2025 |
|
Financial Literacy Education Program (MoneyConnection®) |
|||
|
Number of Schools where the Program was Held (Cumulative Total) |
1,494 |
1,574 |
1,643 |
|
Number of Student Participants (Cumulative Total) |
185,430 |
194,696 |
202,791 |
|
Social Contribution Activities |
|||
|
Number of Volunteer Activities |
23 |
31 |
27 |
|
Number of Employees Participants |
621 |
752 |
825 |
|
(Nonconsolidated) |
FY2023 |
FY2024 |
FY2025 |
|
Number of Whistle-Blowing Reports |
3 |
4 |
5 |
