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Baidu, Inc.
ISIN US0567521085
|WKN A0F5DE
Market cap (in EUR)
39,191 m
Country
China
Sector
Technology
Dividend yield
0.00%
Overview
Quote
Description
Baidu, Inc. engages in the provision of internet search and online marketing solutions. The firm’s products and services include Baidu App, Baidu Search, Baidu Feed, Haokan, Quanmin, Baidu Post Bar, Baidu Knows, Baidu Encyclopedia, Baidu Input Method Editor or Baidu IME, Baidu AI Cloud and Overseas Products. It operates through the following segments: Baidu Core and iQIYI. The Baidu Core segment provides search-based, feed-based, and other online marketing services. The iQiyi segment is an online entertainment service provider, which offers original, professionally produced and partner-generated content on its platform. The company was founded by Yanhong Li and Xu Yong on January 18, 2000 and is headquartered in Beijing, China.
Technology Software and Consulting Internet and Data Services China
Chart
Financials
Key metrics
| Market capitalisation, EUR | 39,191 m |
| EPS, EUR | -0.02 |
| P/B ratio | 1.2 |
| P/E ratio | 87.4 |
| Dividend yield | 0.00% |
Income statement (2025)
| Revenue, EUR | 15,917 m |
| Net income, EUR | 575 m |
| Profit margin | 3.61% |
What ETF is Baidu, Inc. in?
There are 12 ETFs which contain Baidu, Inc.. All of these ETFs are listed in the table below. The ETF with the largest weighting of Baidu, Inc. is the First Trust Indxx Innovative Transaction & Process UCITS ETF Acc.
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| First Trust US Momentum UCITS ETF Class A USD ACC | 0.22% | Equity United States Momentum | 79 |
| ARK Innovation UCITS ETF USD Accumulating | 1.13% | Equity World Innovation | 277 |
| First Trust Indxx Innovative Transaction & Process UCITS ETF Acc | 1.27% | Equity World Technology Blockchain | 44 |
| Global X Autonomous & Electric Vehicles UCITS ETF USD Accumulating | 1.08% | Equity World Automobile Future Mobility | 10 |
| iShares AI Innovation Active UCITS ETF USD (Acc) | 1.08% | Equity World Social/Environmental Artificial Intelligence | 244 |
| Global X Autonomous & Electric Vehicles UCITS ETF USD Distributing | 1.08% | Equity World Automobile Future Mobility | 2 |
| Xtrackers MSCI Next Generation Internet Innovation UCITS ETF 1C | 0.19% | Equity World Technology Social/Environmental Digitalisation | 65 |
| ARK Artificial Intelligence & Robotics UCITS ETF USD Accumulating | 1.13% | Equity World Artificial Intelligence | 305 |
| Invesco Nasdaq Next Generation 100 UCITS ETF Acc | 0.66% | Equity United States | 41 |
| Global X Artificial Intelligence UCITS ETF USD Accumulating | 0.34% | Equity World Technology Artificial Intelligence | 69 |
| Xtrackers MSCI Fintech Innovation UCITS ETF 1C | 0.73% | Equity World Technology Social/Environmental Fintech | 11 |
| Xtrackers MSCI Innovation UCITS ETF 1C | 0.09% | Equity World Social/Environmental Innovation | 6 |
Performance
Returns overview
| YTD | +1.81% |
| 1 month | +7.92% |
| 3 months | +8.33% |
| 6 months | +13.97% |
| 1 year | +60.84% |
| 3 years | +1.31% |
| 5 years | -26.81% |
| Since inception (MAX) | -33.52% |
| 2025 | +44.00% |
| 2024 | -26.40% |
| 2023 | -0.63% |
| 2022 | -7.31% |
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 | 47.91% |
| Volatility 3 years | 42.38% |
| Volatility 5 years | 49.59% |
| Return per risk 1 year | 1.27 |
| Return per risk 3 years | 0.01 |
| Return per risk 5 years | -0.12 |
| Maximum drawdown 1 year | -33.47% |
| Maximum drawdown 3 years | -50.82% |
| Maximum drawdown 5 years | -60.13% |
| Maximum drawdown since inception | -75.31% |
Rolling 1 year volatility
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— 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.