2023 Form 5500 filing — Local 52 401 (K) Fund
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 20241012110201NAL0023393761003) for Local 52 401 (K) Fund, reported by Board Of Trustees Of Local 52 under EIN 13-4059105 and plan number 005. It reports 5,956 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241012110201NAL0023393761003
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Board Of Trustees Of Local 52
- EIN
- 13-4059105
- Plan number
- 005
- Location
- Lynbrook, NY
- Participants
- 5,956
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $493,806,996
- Total liabilities (EOY)
- $2,905,045
- Net assets (EOY)
- $490,901,951
- Participant contributions
- $17,688,544
- Total income / additions
- $93,629,158
- Benefits paid
- $22,945,764
- Administrative expenses
- $340,364
- Total expenses
- $24,069,866
- Net increase / (decrease)
- $69,559,292
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Spivak Lipton, Llp | RELATED UNION'S ATTORNEY | $87,942 | not reported in the loaded dataset |
| Administrative Services Only | NONE | $42,000 | not reported in the loaded dataset |
| Gould, Kobrick & Schlapp, P.C. | RELATED UNION'S AUDITOR | $31,788 | not reported in the loaded dataset |
| Segal Marco Advisors | NONE | $31,261 | not reported in the loaded dataset |
| Empower Life & Annuity Insurance | RECORDKEEPER | $31,038 | not reported in the loaded dataset |
| The Segal Company | NONE | $27,881 | not reported in the loaded dataset |
| Kobgo Associates Inc | NONE | $5,720 | not reported in the loaded dataset |