2023 Form 5500 filing — Asbestos Workers Local 42 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 20250409183925NAL0012441379001) for Asbestos Workers Local 42 Welfare Fund, reported by Board Of Trustees Asbestos Workers Local 42 Welfare Fund under EIN 52-6079218 and plan number 501. It reports 170 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20250409183925NAL0012441379001
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Board Of Trustees Asbestos Workers Local 42 Welfare Fund
- EIN
- 52-6079218
- Plan number
- 501
- Location
- Southeastern, PA
- Participants
- 170
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $3,097,219
- Total liabilities (EOY)
- $776,876
- Net assets (EOY)
- $2,320,343
- Employer contributions
- $2,136,545
- Participant contributions
- $845,469
- Total income / additions
- $3,016,655
- Benefits paid
- $3,059,865
- Administrative expenses
- $270,293
- Total expenses
- $3,330,158
- Net increase / (decrease)
- -$313,503
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Zenith American Solutions Inc | NONE | $157,535 | not reported in the loaded dataset |
| Cigna Health & Life Insurance Compa | NONE | $87,856 | not reported in the loaded dataset |
| Mckeogh Company | NONE | $27,500 | not reported in the loaded dataset |
| Bacheler & Company, Pc | NONE | $20,990 | not reported in the loaded dataset |
| Meranze Katz & Gaudioso | NONE | $20,000 | not reported in the loaded dataset |
| Investment Performance Services | NONE | $5,000 | not reported in the loaded dataset |