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Taiwan Semiconductor Manufacturing Co., Ltd.
ISIN US8740391003
|WKN 909800
Market cap (in EUR)
1,174,770 m
Country
Taiwan
Sector
Technology
Dividend yield
0.75%
Overview
Quote
Description
Taiwan Semiconductor Manufacturing Co., Ltd. engages in the manufacture and sale of integrated circuits and wafer semiconductor devices. Its chips are used in personal computers and peripheral products, information applications, wired and wireless communications systems products, and automotive and industrial equipment including consumer electronics such as digital video compact disc player, digital television, game consoles, and digital cameras. The company was founded by Chung Mou Chang on February 21, 1987 and is headquartered in Hsinchu, Taiwan.
Technology Electronic Components and Manufacturing Semiconductor Equipment and Services Taiwan
Chart
Financials
Key metrics
| Market capitalisation, EUR | 1,174,770 m |
| EPS, EUR | 8.84 |
| P/B ratio | 10.2 |
| P/E ratio | 33.0 |
| Dividend yield | 0.75% |
Income statement (2024)
| Revenue, EUR | 83,310 m |
| Net income, EUR | 33,771 m |
| Profit margin | 40.54% |
What ETF is Taiwan Semiconductor Manufacturing Co., Ltd. in?
There are 13 ETFs which contain Taiwan Semiconductor Manufacturing Co., Ltd.. All of these ETFs are listed in the table below. The ETF with the largest weighting of Taiwan Semiconductor Manufacturing Co., Ltd. is the VanEck Semiconductor UCITS ETF.
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| JPMorgan Active US Growth UCITS ETF USD (acc) | 0.95% | Equity United States Growth | 358 |
| ARK Innovation UCITS ETF USD Accumulating | 1.13% | Equity World Innovation | 306 |
| JPMorgan Climate Change Solutions UCITS ETF USD (Acc) | 2.01% | Equity World Social/Environmental Climate Change | 66 |
| Goshawk Global Balanced Fund UCITS ETF Accumulating | 0.94% | Equity World Growth Multi-Asset Strategy | 19 |
| VanEck Semiconductor UCITS ETF | 9.32% | Equity World Technology Social/Environmental Semiconductors | 3,265 |
| ARK Artificial Intelligence & Robotics UCITS ETF USD Accumulating | 3.24% | Equity World Artificial Intelligence | 302 |
| JPMorgan Active US Growth UCITS ETF EUR Hedged (acc) | 0.95% | Equity United States Growth | 10 |
| JPMorgan Active US Equity UCITS ETF USD (acc) | 0.93% | Equity United States Social/Environmental | 46 |
| iShares AI Innovation Active UCITS ETF USD (Acc) | 3.18% | Equity World Social/Environmental Artificial Intelligence | 107 |
| JPMorgan Active US Equity UCITS ETF EUR Hedged (acc) | 0.93% | Equity United States Social/Environmental | 5 |
| HANetf Saturna Al-Kawthar Global Focused Equity UCITS ETF Acc | 4.95% | Equity World Islamic Investing | 15 |
| Fidelity US Fundamental Large Cap Core UCITS ETF ACC-USD | 1.54% | Equity United States Large Cap | 205 |
| Global X Artificial Intelligence UCITS ETF USD Accumulating | 3.21% | Equity World Technology Artificial Intelligence | 36 |
Performance
Returns overview
| YTD | +9.20% |
| 1 month | +9.77% |
| 3 months | +7.90% |
| 6 months | +40.82% |
| 1 year | +30.85% |
| 3 years | +259.57% |
| 5 years | +156.18% |
| Since inception (MAX) | +1,174.88% |
| 2025 | +31.28% |
| 2024 | +106.66% |
| 2023 | +27.48% |
| 2022 | -37.72% |
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 | 42.57% |
| Volatility 3 years | 38.65% |
| Volatility 5 years | 37.58% |
| Return per risk 1 year | 0.72 |
| Return per risk 3 years | 1.38 |
| Return per risk 5 years | 0.55 |
| Maximum drawdown 1 year | -41.18% |
| Maximum drawdown 3 years | -41.18% |
| Maximum drawdown 5 years | -54.05% |
| Maximum drawdown since inception | -54.05% |
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.