2023 Form 5500 filing — Tetra Tech, Inc. And Subsidiaries Retirement 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 20250707101730NAL0001531027001) for Tetra Tech, Inc. And Subsidiaries Retirement Plan, reported by Tetra Tech, Inc. under EIN 95-4148514 and plan number 001. It reports 14,697 participants. Attached schedules in the loaded dataset include Schedule H (large plan financials), Schedule C (service provider compensation).
- EFAST2 acknowledgement
- 20250707101730NAL0001531027001
- Filing year
- 2023
- Form type
- 2
- Plan sponsor
- Tetra Tech, Inc.
- EIN
- 95-4148514
- Plan number
- 001
- Location
- Pasadena, CA
- Participants
- 14,697
- Schedules available
- Schedule H, Schedule C
- Received date
- not reported in the loaded dataset
Reported financial snapshot (2023)
- Total assets (EOY)
- $1,980,492,350
- Total liabilities (EOY)
- $0
- Net assets (EOY)
- $1,980,492,350
- Employer contributions
- $32,635,341
- Participant contributions
- $74,093,244
- Total income / additions
- $539,240,828
- Benefits paid
- $157,342,950
- Administrative expenses
- $1,155,432
- Total expenses
- $158,496,147
- Net increase / (decrease)
- $380,744,681
- Schedule source
- Schedule H
Reported service provider compensation (Schedule C)
| Provider | Service | Direct comp. | Indirect comp. |
|---|---|---|---|
| Edelman Financial Engines, LLC | INV ADV, PARTICIPANTS | $648,431 | not reported in the loaded dataset |
| Principal Life Insurance Company | CONTRACT ADMINISTRATOR | $435,913 | $100,311 |
| Candlewood Consultants | CONTRACT ADMINISTRATOR | $81,285 | not reported in the loaded dataset |
| Capital Research | INVESTMENT ADVISORY | $50,000 | not reported in the loaded dataset |
| Usi Consulting Group | CONTRACT ADMINISTRATOR | $36,000 | not reported in the loaded dataset |
| Moss Adams | ACCOUNTANT | $15,000 | not reported in the loaded dataset |