2023 Form 5500 filing — U.S. Bank Defined Benefit Pension Plan Master Trust
Plain-English filing summary
According to public Form 5500 filings published through the U.S. Department of Labor (DOL) Employee Benefits Security Administration (EBSA) via the EFAST2 system, this is the 2023 Form 5500 filing (EFAST2 acknowledgement 20241011175759NAL0023371921001) for U.S. Bank Defined Benefit Pension Plan Master Trust, reported by U.S. Bancorp under EIN 41-0255900 and plan number 008. It reports not reported in the loaded dataset participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241011175759NAL0023371921001
- Filing year
- 2023
- Form type
- 4
- Plan sponsor
- U.S. Bancorp
- EIN
- 41-0255900
- Plan number
- 008
- Location
- Minneapolis, MN
- Participants
- not reported in the loaded dataset
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $7,804,413,410
- Total liabilities (EOY)
- $0
- Net assets (EOY)
- $7,804,413,410
- Total income / additions
- $1,088,990,546
- Benefits paid
- $0
- Administrative expenses
- $8,136,053
- Total expenses
- $8,136,053
- Net increase / (decrease)
- $1,080,854,493
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Pacific Investment Management Co. | NONE | $1,009,635 | $0 |
| Mfs Heritage Trust Co | NONE | $969,331 | $0 |
| State Street Global Advisors | NONE | $740,602 | $0 |
| Legal & General Investment Mgmt | NONE | $652,833 | not reported in the loaded dataset |
| Msim Emerging Markets Leaders Trust | NONE | $593,299 | $0 |
| Nisa Investment Advisors, LLC | NONE | $424,260 | not reported in the loaded dataset |
| U.S. Bank National Association | NONE | $36,586 | not reported in the loaded dataset |
| Iron Catastrophe Fund Ltd | NONE | $18,968 | not reported in the loaded dataset |