Tetra Tech (TTEK) Non-Current Debt (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.
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Analysis
Tetra Tech (TTEK) Non-Current Debt (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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 5.03 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.43 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 17.13 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 3.22 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 487.11 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 6.09 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 301.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 2.98 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 801.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 801.06 Mn |
| Mar 29, 2026 | 880.16 Mn |
| Dec 28, 2025 | 834.26 Mn |
| Sep 28, 2025 | 763.36 Mn |
| Jun 29, 2025 | 862.48 Mn |
| Mar 30, 2025 | 764.19 Mn |
| Dec 29, 2024 | 888.45 Mn |
| Sep 29, 2024 | 812.63 Mn |
| Jun 30, 2024 | 861.83 Mn |
| Mar 31, 2024 | 951.03 Mn |
| Dec 31, 2023 | 945.32 Mn |
| Oct 1, 2023 | 879.53 Mn |
| Jul 2, 2023 | 906.88 Mn |
| Apr 2, 2023 | 1.07 Bn |
| Jan 1, 2023 | 234.12 Mn |
| Oct 2, 2022 | 246.25 Mn |
| Jul 3, 2022 | 234.38 Mn |
| Apr 3, 2022 | 237.50 Mn |
| Jan 2, 2022 | 246.88 Mn |
| Oct 3, 2021 | 200.00 Mn |
API Access
Tetra Tech Non-Current Debt 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_KEYimport 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();