2023 Form 5500 filing — Boilermakers' & Blacksmiths' Afl-Cio Lodge No. 169 Employee Security & Joint Training 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 20250617094506NAL0000750067001) for Boilermakers' & Blacksmiths' Afl-Cio Lodge No. 169 Employee Security & Joint Training Fund, reported by Jt Board Of Trustees Boilermakers & Blacksmith Afl-Cio Lodge No 169 under EIN 38-6105860 and plan number 501. It reports 1,023 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20250617094506NAL0000750067001
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Jt Board Of Trustees Boilermakers & Blacksmith Afl-Cio Lodge No 169
- EIN
- 38-6105860
- Plan number
- 501
- Location
- Bingham Farms, MI
- Participants
- 1,023
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $6,902,274
- Total liabilities (EOY)
- $2,818,267
- Net assets (EOY)
- $4,084,007
- Employer contributions
- $4,185,617
- Total income / additions
- $4,777,039
- Benefits paid
- $4,079,628
- Administrative expenses
- $852,243
- Total expenses
- $4,931,871
- Net increase / (decrease)
- -$154,832
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Tic International Corp | NONE | $66,560 | not reported in the loaded dataset |
| Merrill Lynch | NONE | $25,444 | not reported in the loaded dataset |
| B&G Processing Systems Inc | NONE | $22,577 | not reported in the loaded dataset |
| Novara Tesija Pllc | NONE | $18,426 | not reported in the loaded dataset |
| Benda Grace Stulz & Co. P.C. | NONE | $10,650 | not reported in the loaded dataset |