Tetra Tech (TTEK) Total Debt (2009 - 2026)
Tetra Tech (TTEK) posted Total Debt of $801.06 million for 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) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Tetra Tech's Total Debt came in at $763.36 million, down 6.1% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In prior fiscal years, Tetra Tech's Total Debt was $812.63 million in FY2024 (-7.6%), $879.53 million in FY2023 (+239.9%), $258.75 million in FY2022 (+21.8%) and $212.5 million in FY2021 (-27.1%).
- Quarterly Total Debt has run from a low of $212.5 million in fiscal Q4 2021 to a high of $1.08 billion in fiscal Q2 2023 over five years.
- On a year-over-year basis, Total Debt has declined in each of the last four quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q2 2023, with growth of 331.0%; the weakest was fiscal Q4 2021, with a decline of 27.1%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters 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) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 5.14 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.43 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 17.35 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 3.52 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 703.03 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 6.13 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 | - | -1.94 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 | 1.01 Bn |
| 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 | 919.38 Mn |
| Apr 2, 2023 | 1.08 Bn |
| Jan 1, 2023 | 246.63 Mn |
| Oct 2, 2022 | 258.75 Mn |
| Jul 3, 2022 | 261.46 Mn |
| Apr 3, 2022 | 250.00 Mn |
| Jan 2, 2022 | 263.60 Mn |
| Oct 3, 2021 | 212.50 Mn |
API Access
Tetra Tech Total 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=total-debt&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();