Tetra Tech (TTEK) Total Non-Current Liabilities (2009 - 2026)
Tetra Tech (TTEK) reported Total Non-Current Liabilities of $2.38 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 3.0% from $2.45 billion a year earlier but up 1.1% from the prior quarter.
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Analysis
Tetra Tech (TTEK) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Tetra Tech posted Total Non-Current Liabilities of $2.35 billion, up 5.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $2.22 billion in FY2024 (-2.0%), $2.27 billion in FY2023 (+66.8%), $1.36 billion in FY2022 (+6.9%) and $1.27 billion in FY2021 (+1.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.27 billion in fiscal Q4 2021 and a high of $2.5 billion in fiscal Q2 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2023 (growth of 89.4%); the low point was fiscal Q2 2024 (a decline of 6.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.35 billion (Q2 2026), $2.26 billion (Q1 2026) and $2.35 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 6.26 Bn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 1.79 Bn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 1.41 Bn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 9.05 Bn | 8.16 Bn | 243.21 Mn | 2.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.30 Bn |
| Mar 29, 2026 | 2.28 Bn |
| Dec 28, 2025 | 2.23 Bn |
| Sep 28, 2025 | 2.32 Bn |
| Jun 29, 2025 | 2.41 Bn |
| Mar 30, 2025 | 2.45 Bn |
| Dec 29, 2024 | 2.32 Bn |
| Sep 29, 2024 | 2.20 Bn |
| Jun 30, 2024 | 2.25 Bn |
| Mar 31, 2024 | 2.30 Bn |
| Dec 31, 2023 | 2.26 Bn |
| Oct 1, 2023 | 2.25 Bn |
| Jul 2, 2023 | 2.35 Bn |
| Apr 2, 2023 | 2.46 Bn |
| Jan 1, 2023 | 1.29 Bn |
| Oct 2, 2022 | 1.32 Bn |
| Jul 3, 2022 | 1.35 Bn |
| Apr 3, 2022 | 1.20 Bn |
| Jan 2, 2022 | 1.22 Bn |
| Oct 3, 2021 | 1.23 Bn |
API Access
Tetra Tech Total Non-Current 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-non-current-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();