Tetra Tech (TTEK) Non Operating Interest Expenses (2009 - 2026)
Tetra Tech's Non Operating Interest Expenses came in at $7.16 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 13.6% from $8.29 million a year earlier and down 19.0% from the prior quarter.
Tetra Tech (TTEK) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Tetra Tech reported Non Operating Interest Expenses of $39.77 million, up 1.5% year-over-year; for FY2025 (ended Sep 28, 2025), it was $40.64 million, down 8.8% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- Going back by fiscal year, Non Operating Interest Expenses was $44.56 million in FY2024 (-15.0%), $52.44 million in FY2023 (+292.4%), $13.36 million in FY2022 (+4.8%) and $12.75 million in FY2021 (-11.9%).
- The five-year range for quarterly Non Operating Interest Expenses is $7.13 million (fiscal Q1 2026) to $16.64 million (fiscal Q4 2025).
- Year-over-year, Non Operating Interest Expenses increased in two of the last seven quarters, with an average decline of 8.0%.
- Business Quant data shows TTEK's Non Operating Interest Expenses at $8.84 million (Q2 2026), $7.13 million (Q1 2026) and $16.64 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 7.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.16 Mn |
| Mar 29, 2026 | 8.84 Mn |
| Dec 28, 2025 | 7.13 Mn |
| Sep 28, 2025 | 16.64 Mn |
| Jun 29, 2025 | 8.29 Mn |
| Mar 30, 2025 | 8.49 Mn |
| Dec 29, 2024 | 7.22 Mn |
| Sep 29, 2024 | 15.19 Mn |
| Jun 30, 2024 | 9.91 Mn |
| Mar 31, 2024 | 9.88 Mn |
| Dec 31, 2023 | 9.58 Mn |
| Mar 27, 2016 | 4.25 Mn |
| Dec 27, 2015 | 1.66 Mn |
| Sep 27, 2015 | 2.42 Mn |
| Jun 28, 2015 | 2.03 Mn |
| Mar 29, 2015 | 1.80 Mn |
| Dec 28, 2014 | 1.79 Mn |
| Sep 28, 2014 | 2.92 Mn |
| Jun 29, 2014 | 2.45 Mn |
| Mar 30, 2014 | 2.50 Mn |
Tetra Tech Non Operating Interest Expenses 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-operating-interest-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();