Tetra Tech (TTEK) Operating Expenses (2010 - 2026)
Tetra Tech (TTEK) recorded Operating Expenses of $5.7 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 5.6% from $5.4 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Tetra Tech (TTEK) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Tetra Tech's Operating Expenses came in at $22 million as of Jun 28, 2026, up 2.8% year-over-year; for FY2025 (ended Sep 28, 2025), it was $21.2 million, down 10.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $23.7 million in FY2024 (+18.5%), $20 million in FY2023 (+43.9%), $13.9 million in FY2022 (+13.0%) and $12.3 million in FY2021 (-5.4%).
- Quarterly Operating Expenses has ranged from $3.2 million in fiscal Q3 2022 to $7 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with an average decline of 4.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 118.8% in fiscal Q1 2024, against a decline of 22.9% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.6 million (Q2 2026), $5.6 million (Q1 2026) and $5.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.70 Mn |
| Mar 29, 2026 | 5.60 Mn |
| Dec 28, 2025 | 5.60 Mn |
| Sep 28, 2025 | 5.10 Mn |
| Jun 29, 2025 | 5.40 Mn |
| Mar 30, 2025 | 5.20 Mn |
| Dec 29, 2024 | 5.40 Mn |
| Sep 29, 2024 | 5.40 Mn |
| Jun 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 5.60 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Oct 1, 2023 | 6.30 Mn |
| Jul 2, 2023 | 5.60 Mn |
| Apr 2, 2023 | 4.80 Mn |
| Jan 1, 2023 | 3.20 Mn |
| Oct 2, 2022 | 4.00 Mn |
| Jul 3, 2022 | 3.20 Mn |
| Apr 3, 2022 | 3.30 Mn |
| Jan 2, 2022 | 3.40 Mn |
| Oct 3, 2021 | 3.30 Mn |
API Access
Tetra Tech Operating 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=operating-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();