2023 Form 5500 filing — Giant Bicycle Inc 401k 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 20240830154024NAL0008457539001) for Giant Bicycle Inc 401k Plan, reported by Giant Bicycle Inc under EIN 62-1327237 and plan number 001. It reports 152 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
Form 5500 2 · 2023
Filing snapshot
Net assets (EOY)$13.6MReported net assets$13,619,964
Participants152
Provider compensation$58.4K4 Schedule C row(s)$58,445
Schedules filedSchedule H, Schedule CLoaded schedules
- EFAST2 acknowledgement
- 20240830154024NAL0008457539001
- Plan sponsor
- Giant Bicycle Inc
- EIN
- 62-1327237
- Plan number
- 001
- Location
- Newbury Park, CA
- Received date
- not reported in the loaded dataset
Schedule H · 2023
Reported financial snapshot
Reported figures as filed, in whole dollars. Only fields the filing reports are shown.
Reported balance (end of year)$13.6M total assets
Net assets$13.6MLiabilities$0
Full reported line items
- Total assets (EOY)
- $13,619,964
- Total liabilities (EOY)
- $0
- Net assets (EOY)
- $13,619,964
- Employer contributions
- $297,866
- Participant contributions
- $1,056,535
- Total income / additions
- $3,249,895
- Benefits paid
- $1,832,471
- Administrative expenses
- $58,061
- Total expenses
- $1,913,048
- Net increase / (decrease)
- $1,336,847
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Lpl Financial | INVESTMENT ADVISOR | $44,532 | not reported in the loaded dataset |
| Empower Annuity Insurance Company | RECORDKEEPER | $7,199 | $0 |
| Empower Advisory Group, LLC | INVESTMENT MANAGEMENT | $5,734 | not reported in the loaded dataset |
| Truog-Ryding Company, Inc. | TPA | $980 | not reported in the loaded dataset |