Overview
Quote
Description
Applied Materials, Inc. engages in provision of materials engineering solutions used to produce semiconductors. The firm also focuses on design, development, production, and servicing of the critical wafer fabrication tools used for customers to manufacture semiconductors. It operates through the following segments: Semiconductor Systems and Applied Global Services (AGS). The Semiconductor Systems segment includes designing, development, manufacturing and sale of equipment used to fabricate semiconductor chips referred to as integrated circuits. The AGS segment engages in provision of services, spares, and factory automation software to customer fabrication plants globally. The company was founded on November 10, 1967 and is headquartered in Santa Clara, CA.
Technology Electronic Components and Manufacturing Semiconductor Equipment and Services United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 252,723 m |
| EPS, EUR | 8.56 |
| P/B ratio | 13.7 |
| P/E ratio | 38.5 |
| Dividend yield | 0.47% |
Income statement (2025)
| Revenue, EUR | 25,565 m |
| Net income, EUR | 6,306 m |
| Profit margin | 24.67% |
What ETF is Applied Materials in?
There are 62 ETFs which contain Applied Materials. All of these ETFs are listed in the table below. The ETF with the largest weighting of Applied Materials is the iShares MSCI USA SRI UCITS ETF USD (Dist).
Performance
Returns overview
| YTD | +40.43% |
| 1 month | +13.93% |
| 3 months | +45.34% |
| 6 months | +123.71% |
| 1 year | +108.90% |
| 3 years | +196.54% |
| 5 years | +220.29% |
| Since inception (MAX) | +1,358.12% |
| 2025 | +42.58% |
| 2024 | +6.68% |
| 2023 | +63.89% |
| 2022 | -36.63% |
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 | 46.41% |
| Volatility 3 years | 40.42% |
| Volatility 5 years | 41.56% |
| Return per risk 1 year | 2.35 |
| Return per risk 3 years | 1.08 |
| Return per risk 5 years | 0.63 |
| Maximum drawdown 1 year | -23.98% |
| Maximum drawdown 3 years | -50.82% |
| Maximum drawdown 5 years | -50.82% |
| Maximum drawdown since inception | -50.82% |
Rolling 1 year volatility
— 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.
