Tetra Tech (TTEK) Total Liabilities (2009 - 2026)
Tetra Tech's Total Liabilities was $2.54 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 2.9% from $2.61 billion a year earlier but up 1.5% from the prior quarter.
Powered by 
Analysis
Tetra Tech (TTEK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Total Liabilities at Tetra Tech came in at $2.5 billion, up 5.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $2.36 billion in FY2024 (-2.3%), $2.42 billion in FY2023 (+67.9%), $1.44 billion in FY2022 (+7.3%) and $1.34 billion in FY2021 (+0.1%).
- Quarterly Total Liabilities has moved between $1.34 billion (fiscal Q4 2021) and $2.63 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 87.7%); the worst was fiscal Q2 2024 (a decline of 5.5%).
- Per Business Quant data, TTEK's Total Liabilities in the three fiscal quarters before Q3 2026 was $2.5 billion (Q2 2026), $2.42 billion (Q1 2026) and $2.5 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 2.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.54 Bn |
| Mar 29, 2026 | 2.50 Bn |
| Dec 28, 2025 | 2.42 Bn |
| Sep 28, 2025 | 2.50 Bn |
| Jun 29, 2025 | 2.61 Bn |
| Mar 30, 2025 | 2.61 Bn |
| Dec 29, 2024 | 2.49 Bn |
| Sep 29, 2024 | 2.36 Bn |
| Jun 30, 2024 | 2.42 Bn |
| Mar 31, 2024 | 2.49 Bn |
| Dec 31, 2023 | 2.41 Bn |
| Oct 1, 2023 | 2.42 Bn |
| Jul 2, 2023 | 2.52 Bn |
| Apr 2, 2023 | 2.63 Bn |
| Jan 1, 2023 | 1.41 Bn |
| Oct 2, 2022 | 1.44 Bn |
| Jul 3, 2022 | 1.47 Bn |
| Apr 3, 2022 | 1.40 Bn |
| Jan 2, 2022 | 1.40 Bn |
| Oct 3, 2021 | 1.34 Bn |
API Access
Tetra Tech Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TTEK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();