100+ datasets found
  1. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

  2. Annual development Nasdaq Composite Index 1986-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jul 8, 2025
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    Statista (2025). Annual development Nasdaq Composite Index 1986-2024 [Dataset]. https://www.statista.com/statistics/189731/closing-year-end-values-of-the-nasdaq-composite-index/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Nasdaq Composite Index increased overall following the global financial crisis of 2008. In 2022, the closing year-end value of the Nasdaq Composite Index was *********, a significant decrease compared to 2021. In the following years, however, the Index recovered and grew, closing at ********* points as of December 31, 2024.

  3. Weekly development Nasdaq Composite Index 2025

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Weekly development Nasdaq Composite Index 2025 [Dataset]. https://www.statista.com/statistics/1104283/weekly-nasdaq-index-performance/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Feb 2025
    Area covered
    United States
    Description

    The Nasdaq Composite index fell by approximately ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered, peaking at over ****** points on July 10, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over ***** points. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the Nasdaq Composite index stood at a little over ***** points. Coronavirus concerns escalate The World Health Organization declared the coronavirus outbreak as a global pandemic in March 2020, setting the Dow Jones Industrial Average, the S&P 500, and other market indexes up for significant losses. With the stock markets destabilized, traders opted to sell their shares and were prepared to wait before investing in stocks again. Investors would have felt more confident if there were signs that the virus was being contained, but the number of cases continued to rise.

  4. NASDAQ Historical Prices (2014-2024)

    • kaggle.com
    Updated Apr 27, 2024
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    Arslanr369 (2024). NASDAQ Historical Prices (2014-2024) [Dataset]. https://www.kaggle.com/datasets/arslanr369/nasdaq-historical-prices-2014-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 27, 2024
    Dataset provided by
    Kaggle
    Authors
    Arslanr369
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Experience a decade of NASDAQ market dynamics with this comprehensive historical price dataset from 2014 to 2024.

    The NASDAQ Composite is a benchmark index representing the performance of more than 2,500 stocks listed on the NASDAQ stock exchange, encompassing various sectors including technology, healthcare, and finance. This dataset, sourced meticulously from Yahoo Finance, offers daily insights into the index's opening, highest, lowest, and closing prices, along with adjusted close prices and daily volume.

  5. NASDAQ Composite Index NASDAQ Composite Index (Forecast)

    • kappasignal.com
    Updated Nov 28, 2022
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    KappaSignal (2022). NASDAQ Composite Index NASDAQ Composite Index (Forecast) [Dataset]. https://www.kappasignal.com/2022/11/nasdaq-composite-index-nasdaq-composite_28.html
    Explore at:
    Dataset updated
    Nov 28, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    NASDAQ Composite Index NASDAQ Composite Index

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  6. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +6more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 3, 1928 - Jul 31, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  7. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  8. Annual development Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Annual development Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261720/annual-development-of-the-sunds-500-index/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, the Nasdaq 100 closed at ********* points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. The index value closed at ********* points in 2024, an increase of more than ***** points compared to its closing value for the previous year. What does the NASDAQ tell us? The Nasdaq 100 index is comprised of 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. Financial firms are represented by the NASDAQ Bank Index. A stock market index is a measurement of average performance of companies forming the index. It gives a snapshot of what investors are thinking at that particular moment. Other indices The Dow Jones Industrial Average gets more attention than the NASDAQ 100, though it only represents ** companies. It’s best and worst days mark some of the major financial events of the past century. This helps to put more meaning behind events like Black Monday, the Wall Street crash of 1929, or the 2008 Financial Crisis, as well as the speed of their recoveries in financial markets.

  9. United States US: Index: Share Price: NASDAQ Composite

    • ceicdata.com
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    CEICdata.com, United States US: Index: Share Price: NASDAQ Composite [Dataset]. https://www.ceicdata.com/en/united-states/share-price-index-annual/us-index-share-price-nasdaq-composite
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1990 - Dec 1, 2001
    Area covered
    United States
    Variables measured
    Securities Price Index
    Description

    United States US: Index: Share Price: NASDAQ Composite data was reported at 86.473 2010=100 in 2001. This records a decrease from the previous number of 160.920 2010=100 for 2000. United States US: Index: Share Price: NASDAQ Composite data is updated yearly, averaging 15.784 2010=100 from Dec 1972 (Median) to 2001, with 30 observations. The data reached an all-time high of 160.920 2010=100 in 2000 and a record low of 3.254 2010=100 in 1974. United States US: Index: Share Price: NASDAQ Composite data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: Share Price Index: Annual.

  10. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jul 29, 2025
    + more versions
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-30 to 2025-07-29 about stock market, average, industry, and USA.

  11. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  12. Trading Signals (NASDAQ Composite Index Stock Forecast) (Forecast)

    • kappasignal.com
    Updated Sep 13, 2022
    + more versions
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    KappaSignal (2022). Trading Signals (NASDAQ Composite Index Stock Forecast) (Forecast) [Dataset]. https://www.kappasignal.com/2022/09/trading-signals-nasdaq-composite-index.html
    Explore at:
    Dataset updated
    Sep 13, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Trading Signals (NASDAQ Composite Index Stock Forecast)

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  13. United States US Composite: Index: Dow Jones Composite Average Total Return

    • ceicdata.com
    Updated May 10, 2024
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    CEICdata.com (2024). United States US Composite: Index: Dow Jones Composite Average Total Return [Dataset]. https://www.ceicdata.com/en/united-states/us-composite-nyse-nasdaq-dow-jones-monthly
    Explore at:
    Dataset updated
    May 10, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    US Composite: Index: Dow Jones Composite Average Total Return data was reported at 32,138.880 NA in Apr 2025. This records a decrease from the previous number of 33,312.100 NA for Mar 2025. US Composite: Index: Dow Jones Composite Average Total Return data is updated monthly, averaging 18,259.895 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 36,237.720 NA in Nov 2024 and a record low of 8,179.630 NA in May 2012. US Composite: Index: Dow Jones Composite Average Total Return data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: US Composite (NYSE, NASDAQ): Dow Jones: Monthly.

  14. T

    Canada - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 8, 2017
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    TRADING ECONOMICS (2017). Canada - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/canada/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Canada
    Description

    Stock market return (%, year-on-year) in Canada was reported at 23.7 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  15. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 31, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 19, 1990 - Jul 31, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3573 points on July 31, 2025, losing 1.18% from the previous session. Over the past month, the index has climbed 3.34% and is up 21.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  16. f

    Sharpe ratio and buy-and-hold break-even transaction costs of the best...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Lucas Fievet; Didier Sornette (2023). Sharpe ratio and buy-and-hold break-even transaction costs of the best single agent minority and majority model, and the two-agents model, during the dotcom bubble and financial crisis (F.C.). [Dataset]. http://doi.org/10.1371/journal.pone.0193290.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lucas Fievet; Didier Sornette
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ‘Buy-and-hold break-even transaction costs’ is the fee level per one-way transaction (counted in bps, which stands for ‘basis points’, i.e. 0.01%) that would reduce the performance to that of the buy-and-hold strategy. The cumulative returns over time of the individual models are shown in Figs 5 and 6. The two-agents models outperform the single agent models in annualised Sharpe ratio above the 95% confidence level.

  17. T

    China - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 29, 2017
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    TRADING ECONOMICS (2017). China - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/china/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Stock market return (%, year-on-year) in China was reported at 13.47 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  18. M

    Hang Seng Composite Index - Historical Chart

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Hang Seng Composite Index - Historical Chart [Dataset]. https://www.macrotrends.net/2594/hang-seng-composite-index-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1986 - 2025
    Area covered
    United States
    Description

    Interactive daily chart of the Hong Kong Hang Seng Composite stock market index back to 1986. Each data point represents the closing value for that trading day and is denominated in hong kong dollars (HKD). The current price is updated on an hourly basis with today's latest value.

  19. T

    Indonesia Stock Market (JCI) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 2, 2025
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    TRADING ECONOMICS (2025). Indonesia Stock Market (JCI) Data [Dataset]. https://tradingeconomics.com/indonesia/stock-market
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 6, 1990 - Aug 1, 2025
    Area covered
    Indonesia
    Description

    Indonesia's main stock market index, the JCI, rose to 7538 points on August 1, 2025, gaining 0.71% from the previous session. Over the past month, the index has climbed 9.54% and is up 3.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on August of 2025.

  20. Toronto Stock Exchange statistics

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 1, 2023
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    Government of Canada, Statistics Canada (2023). Toronto Stock Exchange statistics [Dataset]. http://doi.org/10.25318/1010012501-eng
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    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 25 series, with data for years 1956 - present (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Toronto Stock Exchange Statistics (25 items: Standard and Poor's/Toronto Stock Exchange Composite Index; high; Standard and Poor's/Toronto Stock Exchange Composite Index; close; Toronto Stock Exchange; oil and gas; closing quotations; Standard and Poor's/Toronto Stock Exchange Composite Index; low ...).

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Statista (2025). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
Organization logo

Annual returns of Nasdaq 100 Index 1986-2024

Explore at:
Dataset updated
Jun 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

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