2023 Form 5500 filing — Medical Expense Reimbursement Plan Of The Fraternal Order Of Police Fort Pitt Lodge No. 1 Retiree Medical Trust
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 20241013153941NAL0049616162001) for Medical Expense Reimbursement Plan Of The Fraternal Order Of Police Fort Pitt Lodge No. 1 Retiree Medical Trust, reported by Fraternal Order Of Police under EIN 25-0900023 and plan number 501. It reports 577 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241013153941NAL0049616162001
- Filing year
- 2023
- Form type
- 2
- Plan sponsor
- Fraternal Order Of Police
- EIN
- 25-0900023
- Plan number
- 501
- Location
- Pittsburgh, PA
- Participants
- 577
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $5,428,190
- Total liabilities (EOY)
- $5,675
- Net assets (EOY)
- $5,422,515
- Employer contributions
- $1,800,000
- Total income / additions
- $2,394,264
- Administrative expenses
- $126,166
- Total expenses
- $126,166
- Net increase / (decrease)
- $2,268,098
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| The Wagner Law Group | NONE | $43,753 | not reported in the loaded dataset |
| Cw Breitsman Associates, LLC | NONE | $36,399 | not reported in the loaded dataset |
| Grossman Yanak & Ford Llp | NONE | $17,291 | not reported in the loaded dataset |
| Cbiz Investment Advisory Services | NONE | $11,154 | not reported in the loaded dataset |
| Cowden Associates Inc | NONE | $8,500 | not reported in the loaded dataset |
| Vendilli Digital Group | NONE | $5,100 | not reported in the loaded dataset |