2023 Form 5500 filing — Pipefitters Local No 636 Supplemental Unemployment Benefit Trust 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 20250324164507NAL0013089393002) for Pipefitters Local No 636 Supplemental Unemployment Benefit Trust Fund, reported by Pipefitters Local 636 Supplemental Unemployment Benefit Fund under EIN 38-6100678 and plan number 501. It reports 1,708 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20250324164507NAL0013089393002
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Pipefitters Local 636 Supplemental Unemployment Benefit Fund
- EIN
- 38-6100678
- Plan number
- 501
- Location
- Troy, MI
- Participants
- 1,708
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $12,139,509
- Total liabilities (EOY)
- $31,549
- Net assets (EOY)
- $12,107,960
- Employer contributions
- $1,909,602
- Total income / additions
- $2,383,692
- Benefits paid
- $822,905
- Administrative expenses
- $116,196
- Total expenses
- $939,101
- Net increase / (decrease)
- $1,444,591
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Pipefitters Local No. 636 | SPONSOR LOCAL UNION | $128,056 | not reported in the loaded dataset |
| Benesys, Inc. | NONE | $36,597 | not reported in the loaded dataset |
| Bultynck & Co., Pllc | NONE | $19,280 | not reported in the loaded dataset |
| Asher Kelly | NONE | $19,260 | not reported in the loaded dataset |
| Nickel & Saph, Inc | NONE | $7,371 | not reported in the loaded dataset |
| National Investment Services | NONE | $6,705 | not reported in the loaded dataset |