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Tetra Tech
ISIN US88162G1031
|WKN 902888
Market cap (in EUR)
8 121 M
Country
États-Unis
Sector
Industriels
Dividend yield
0,72%
Overview
Quote
Description
Tetra Tech, Inc. fournit des services de conseil et d'ingénierie dans les domaines de l'eau, de l'environnement, des infrastructures, des énergies renouvelables et du développement international. Elle exerce ses activités par l'intermédiaire des segments suivants : Government Services Group (GSG) et Commercial and International Services Group (CIG) : Government Services Group (GSG) et Commercial and International Services Group (CIG). Le segment GSG offre des services de conseil et d'ingénierie principalement aux clients du gouvernement des États-Unis, tels que les agences fédérales, étatiques et locales, ainsi qu'aux agences de développement du monde entier. Le segment CIG fournit des services de conseil et d'ingénierie à des clients commerciaux américains et à des clients internationaux des secteurs commercial et gouvernemental, ainsi que des services d'infrastructure, d'environnement, d'ingénierie et de gestion de projet au Canada, en Australie, en Nouvelle-Zélande, au Royaume-Uni, au Brésil et au Chili. La société a été fondée en 1966 et son siège se trouve à Pasadena, en Californie.
Industriels Services industriels Installations et services de construction États-Unis
Chart
Financials
Key metrics
| Market capitalisation, EUR | 8 121 M |
| EPS, EUR | 1,43 |
| P/B ratio | 5,1 |
| P/E ratio | 22,2 |
| Dividend yield | 0,72% |
Income statement (2025)
| Revenue, EUR | 4 931 M |
| Net income, EUR | 224 M |
| Profit margin | 4,55% |
What ETF is Tetra Tech in?
There are 7 ETFs which contain Tetra Tech. All of these ETFs are listed in the table below. The ETF with the largest weighting of Tetra Tech is the JPMorgan Climate Change Solutions Active UCITS ETF USD (dist).
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| iShares Smart City Infrastructure UCITS ETF USD (Dist) | 1.32% | Equity World Infrastructure Social/Environmental | 44 |
| JPMorgan Climate Change Solutions Active UCITS ETF USD (dist) | 1.56% | Equity World Social/Environmental Climate Change | 0 |
| Vanguard FTSE Global Small-Cap UCITS ETF USD Dist | 0.09% | Equity World Small Cap | 10 |
| Vanguard Russell 1000 U.S. Value UCITS ETF USD Dist | 0.02% | Equity United States Value | 1 |
| Vanguard Russell U.S. Mid-Cap UCITS ETF USD Dist | 0.07% | Equity United States Mid Cap | 3 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.12% | Equity United States Small Cap | 230 |
| Vanguard FTSE Global All-Cap UCITS ETF USD Dist | 0.01% | Equity World | 87 |
Performance
Returns overview
| YTD | +3.15% |
| 1 month | -2.80% |
| 3 months | +10.61% |
| 6 months | +12.36% |
| 1 year | -0.30% |
| 3 years | +1.39% |
| 5 years | +9.07% |
| Since inception (MAX) | +111.72% |
| 2025 | -23.75% |
| 2024 | +25.08% |
| 2023 | +10.71% |
| 2022 | -10.50% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
| Volatility 1 year | 37.49% |
| Volatility 3 years | 31.49% |
| Volatility 5 years | 30.99% |
| Return per risk 1 year | -0.01 |
| Return per risk 3 years | 0.01 |
| Return per risk 5 years | 0.06 |
| Maximum drawdown 1 year | -37.44% |
| Maximum drawdown 3 years | -52.01% |
| Maximum drawdown 5 years | -52.01% |
| Maximum drawdown since inception | -52.01% |
Rolling 1 year volatility
Latest articles
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.