2023 Form 5500 filing — United Union Of Roofers, Waterproofers, & Allied Workers, Local 154 Welfare 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 20241015191901NAL0030737441001) for United Union Of Roofers, Waterproofers, & Allied Workers, Local 154 Welfare Fund, reported by Board Of Trustees Local 154 Welfare Fund under EIN 11-1670612 and plan number 501. It reports 169 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241015191901NAL0030737441001
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Board Of Trustees Local 154 Welfare Fund
- EIN
- 11-1670612
- Plan number
- 501
- Location
- Hauppauge, NY
- Participants
- 169
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $6,289,850
- Total liabilities (EOY)
- $933,939
- Net assets (EOY)
- $5,355,911
- Employer contributions
- $5,451,189
- Participant contributions
- $39,626
- Total income / additions
- $5,741,390
- Benefits paid
- $5,135,026
- Administrative expenses
- $130,571
- Total expenses
- $5,265,597
- Net increase / (decrease)
- $475,793
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Virginia & Ambinder Llp | LEGAL | $33,777 | not reported in the loaded dataset |
| The Mckeogh Company | ACTUARY | $22,800 | not reported in the loaded dataset |
| Gettry Marcus Cpa, P.C. | ACCOUNTANT | $22,438 | not reported in the loaded dataset |
| Marshall & Moss Admin Services, Inc | CONTRACT ADMINISTRATOR | $20,038 | not reported in the loaded dataset |
| Reynolds Consulting Services | INVESTMENT CONSULTANT | $6,250 | not reported in the loaded dataset |