Tetra Tech (TTEK) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Tetra Tech's Non-Current Debt was $801.06 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 7.1% from $862.48 million a year earlier and down 9.0% from the prior quarter.
Tetra Tech (TTEK) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Non-Current Debt at Tetra Tech came in at $763.36 million, down 6.1% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Debt was $812.63 million in FY2024 (-7.6%), $879.53 million in FY2023 (+257.2%), $246.25 million in FY2022 (+23.1%) and $200 million in FY2021 (-17.5%).
- Quarterly Non-Current Debt has moved between $200 million (fiscal Q4 2021) and $1.07 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Non-Current Debt was higher in two of the last eight quarters, with an average decline of 4.7%.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q2 2023 (growth of 348.4%); the worst was fiscal Q2 2025 (a decline of 19.6%).
- Per Business Quant data, TTEK's Non-Current Debt in the three fiscal quarters before Q3 2026 was $880.16 million (Q2 2026), $834.26 million (Q1 2026) and $763.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 4.98 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 570.11 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | - |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | -7.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 463.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | -9.27 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Tetra Tech | 10.60 Bn | 9.71 Bn | 243.21 Mn | -81.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -81.95 Mn |
| Mar 29, 2026 | 43.24 Mn |
| Dec 28, 2025 | 67.92 Mn |
| Sep 28, 2025 | -108.11 Mn |
| Jun 29, 2025 | -152.31 Mn |
| Mar 30, 2025 | 123.29 Mn |
| Dec 29, 2024 | 73.28 Mn |
| Sep 29, 2024 | -51.70 Mn |
| Jun 30, 2024 | -91.67 Mn |
| Mar 31, 2024 | 3.38 Mn |
| Dec 31, 2023 | 63.46 Mn |
| Oct 1, 2023 | -25.87 Mn |
| Jul 2, 2023 | -159.41 Mn |
| Apr 2, 2023 | 737.06 Mn |
| Jan 1, 2023 | -13.55 Mn |
| Oct 2, 2022 | 10.62 Mn |
| Jul 3, 2022 | -4.24 Mn |
| Apr 3, 2022 | -16.44 Mn |
| Jan 2, 2022 | 50.09 Mn |
| Oct 3, 2021 | -36.57 Mn |
Tetra Tech Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();