Tetra Tech (TTEK) Capital Expenditures (2009 - 2026)
Tetra Tech's Capital Expenditures was $3.81 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 9.1% from $3.49 million a year earlier but down 36.4% from the prior quarter.
Tetra Tech (TTEK) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tetra Tech's Capital Expenditures was $20.07 million through Jun 28, 2026, up 3.9% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $18.63 million, up 2.7% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $18.14 million in FY2024 (-32.6%), $26.9 million in FY2023 (+154.2%), $10.58 million in FY2022 (+23.4%) and $8.57 million in FY2021 (-30.0%).
- Quarterly Capital Expenditures has moved between $1.52 million (fiscal Q1 2022) and $9.58 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with growth averaging 3.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q4 2023 (growth of 339.2%); the worst was fiscal Q3 2024 (a decline of 45.1%).
- Per Business Quant data, TTEK's Capital Expenditures in the three fiscal quarters before Q3 2026 was $5.99 million (Q2 2026), $4.15 million (Q1 2026) and $6.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 3.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.81 Mn |
| Mar 29, 2026 | 5.99 Mn |
| Dec 28, 2025 | 4.15 Mn |
| Sep 28, 2025 | 6.12 Mn |
| Jun 29, 2025 | 3.49 Mn |
| Mar 30, 2025 | 5.59 Mn |
| Dec 29, 2024 | 3.43 Mn |
| Sep 29, 2024 | 6.81 Mn |
| Jun 30, 2024 | 3.86 Mn |
| Mar 31, 2024 | 4.03 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Oct 1, 2023 | 9.58 Mn |
| Jul 2, 2023 | 7.03 Mn |
| Apr 2, 2023 | 5.30 Mn |
| Jan 1, 2023 | 5.00 Mn |
| Oct 2, 2022 | 2.18 Mn |
| Jul 3, 2022 | 2.78 Mn |
| Apr 3, 2022 | 4.10 Mn |
| Jan 2, 2022 | 1.52 Mn |
| Oct 3, 2021 | 2.34 Mn |
Tetra Tech Capital Expenditures 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=capital-expenditures&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();