2023 Form 5500 filing — Nova Southeastern University 401(K) 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 20241014135149NAL0027470129004) for Nova Southeastern University 401(K) Plan, reported by Nova Southeastern University, Inc. under EIN 59-1083502 and plan number 004. It reports 7,812 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20241014135149NAL0027470129004
- Filing year
- 2023
- Form type
- 2
- Plan sponsor
- Nova Southeastern University, Inc.
- EIN
- 59-1083502
- Plan number
- 004
- Location
- Fort Lauderdale, FL
- Participants
- 7,812
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $479,040,821
- Net assets (EOY)
- $479,040,821
- Employer contributions
- $23,075,133
- Participant contributions
- $19,048,145
- Total income / additions
- $102,716,601
- Benefits paid
- $20,554,418
- Administrative expenses
- $439,738
- Total expenses
- $21,049,276
- Net increase / (decrease)
- $81,667,325
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Tiaa-Teachers Insurance Association | not reported in the loaded dataset | $227,514 | $0 |
| Nova Southeastern University, Inc. | not reported in the loaded dataset | $125,869 | not reported in the loaded dataset |
| Captrust Financial Partners LLC | not reported in the loaded dataset | $40,000 | not reported in the loaded dataset |
| Gunster, Yoakley, & Stewart Pa | not reported in the loaded dataset | $30,848 | not reported in the loaded dataset |
| Ernst & Young Us, Llp | not reported in the loaded dataset | $25,000 | not reported in the loaded dataset |