2023 Form 5500 filing — Painting Industry Profit Sharing Annuity Plan
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 20241009071346NAL0010403907001) for Painting Industry Profit Sharing Annuity Plan, reported by Decorating Painters District Council 6 & Contractors Association under EIN 34-1515714 and plan number 001. It reports 2,756 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241009071346NAL0010403907001
- Filing year
- 2023
- Form type
- 1
- Plan sponsor
- Decorating Painters District Council 6 & Contractors Association
- EIN
- 34-1515714
- Plan number
- 001
- Location
- Strongsville, OH
- Participants
- 2,756
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $80,825,160
- Total liabilities (EOY)
- $11,291
- Net assets (EOY)
- $80,813,869
- Employer contributions
- $5,556,989
- Total income / additions
- $16,699,183
- Benefits paid
- $5,338,562
- Administrative expenses
- $163,504
- Total expenses
- $5,502,066
- Net increase / (decrease)
- $11,197,117
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Painting Industry Funds | AFFILIATE | $71,644 | not reported in the loaded dataset |
| Painting Industry Insurance Fund | AFFILIATE | $30,027 | not reported in the loaded dataset |
| Clark, Schaefer, Hackett & Co. | NONE | $17,500 | not reported in the loaded dataset |
| Ubs Financial Services | NONE | $15,000 | not reported in the loaded dataset |
| Allotta Farley Co., Lpa | NONE | $12,504 | not reported in the loaded dataset |
| Andco Consulting, LLC | NONE | $11,250 | not reported in the loaded dataset |