Tetra Tech (TTEK) Other Non-Current Liabilities (2009 - 2026)
Tetra Tech's Other Non-Current Liabilities was $160.53 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.3% from $162.66 million a year earlier but up 7.1% from the prior quarter.
Tetra Tech (TTEK) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Other Non-Current Liabilities at Tetra Tech came in at $151.44 million, up 9.7% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $138.03 million in FY2024 (-6.8%), $148.05 million in FY2023 (+87.0%), $79.16 million in FY2022 (+14.4%) and $69.16 million in FY2021 (-14.2%).
- Quarterly Other Non-Current Liabilities has moved between $69.13 million (fiscal Q3 2022) and $162.66 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q4 2023 (growth of 87.0%); the worst was fiscal Q4 2021 (a decline of 14.2%).
- Per Business Quant data, TTEK's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $149.86 million (Q2 2026), $155.13 million (Q1 2026) and $151.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.74 Bn | 105.02 Bn | 6.13 Bn |
| 2 | Cintas | 87.97 Bn | 87.06 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.22 Bn | 33.41 Bn | 1.07 Bn |
| 4 | APi | 17.38 Bn | 14.42 Bn | 703.00 Mn |
| 5 | Rollins | 16.10 Bn | 15.65 Bn | 569.95 Mn |
| 6 | UL Solutions | 15.03 Bn | 13.79 Bn | 417.00 Mn |
| 7 | Aramark | 14.67 Bn | 12.62 Bn | 430.34 Mn |
| 8 | Gartner | 14.50 Bn | 8.19 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.60 Bn | 4.11 Bn | - |
| 10 | Tetra Tech | 9.05 Bn | 8.16 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 230.73 Mn |
| Mar 29, 2026 | 213.74 Mn |
| Dec 28, 2025 | 188.42 Mn |
| Sep 28, 2025 | 183.58 Mn |
| Jun 29, 2025 | 197.03 Mn |
| Mar 30, 2025 | 159.38 Mn |
| Dec 29, 2024 | 171.71 Mn |
| Sep 29, 2024 | 159.85 Mn |
| Jun 30, 2024 | 164.46 Mn |
| Mar 31, 2024 | 183.75 Mn |
| Dec 31, 2023 | 155.67 Mn |
| Oct 1, 2023 | 170.36 Mn |
| Jul 2, 2023 | 166.41 Mn |
| Apr 2, 2023 | 167.56 Mn |
| Jan 1, 2023 | 121.97 Mn |
| Oct 2, 2022 | 115.93 Mn |
| Jul 3, 2022 | 120.03 Mn |
| Apr 3, 2022 | 204.66 Mn |
| Jan 2, 2022 | 185.46 Mn |
| Oct 3, 2021 | 108.94 Mn |
Tetra Tech Other 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=other-non-current-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();