78 datasets found
  1. M

    S&P 500 - 10 Years of Daily Historical Data

    • macrotrends.net
    csv
    Updated May 27, 2025
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    MACROTRENDS (2025). S&P 500 - 10 Years of Daily Historical Data [Dataset]. https://www.macrotrends.net/2488/sp500-10-year-daily-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 27, 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

    Area covered
    World
    Description

    Historical dataset of the S&P 500 stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.

  2. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 6, 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.

  3. M

    S&P 500 Index - 100 Years of Historical Data

    • macrotrends.net
    csv
    Updated May 27, 2025
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    MACROTRENDS (2025). S&P 500 Index - 100 Years of Historical Data [Dataset]. https://www.macrotrends.net/2324/sp-500-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 27, 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

    Area covered
    World
    Description

    Historical dataset for the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  4. Annual development S&P 500 Index 1986-2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Annual development S&P 500 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261713/changes-of-the-sundp-500-during-the-us-election-years-since-1928/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Standard & Poor’s (S&P) 500 Index is an index of 500 leading publicly traded companies in the United States. In 2021, the index value closed at 4,766.18 points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. In 2023, the index values closed at 4,769.83, the highest value ever recorded. What is the S&P 500? The S&P 500 was established in 1860 and expanded to its present form of 500 stocks in 1957. It tracks the price of stocks on the major stock exchanges in the United States, distilling their performance down to a single number that investors can use as a snapshot of the economy’s performance at a given moment. This snapshot can be explored further. For example, the index can be examined by industry sector, which gives a more detailed illustration of the economy. Other measures Being a stock market index, the S&P 500 only measures equities performance. In addition to other stock market indices, analysts will look to other indicators such as GDP growth, unemployment rates, and projected inflation. Similarly, since these indicators say something about the economic future, stock market investors will use these indicators to speculate on the stocks in the S&P 500.

  5. d

    Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and...

    • datahub.io
    • economagic.com
    Updated Feb 1, 2002
    + more versions
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    (2002). Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and P/E Ratio [Dataset]. https://datahub.io/core/s-and-p-500
    Explore at:
    Dataset updated
    Feb 1, 2002
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    S&P 500 index data including level, dividend, earnings and P/E ratio on a monthly basis since 1870. The S&P 500 (Standard and Poor's 500) is a free-float, capitalization-weighted index of the top ...

  6. Weekly development S&P 500 Index 2024

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Weekly development S&P 500 Index 2024 [Dataset]. https://www.statista.com/statistics/1104270/weekly-sandp-500-index-performance/
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Dec 29, 2024
    Area covered
    United States
    Description

    Between March 4 and March 11, 2020, the S&P 500 index declined by twelve percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged 9.5 percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at 5,942.47 points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least two months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of 3,386 on February 19, 2020. However, just over three weeks later, the market closed on 2,480, which represented a decline of around 26 percent in only 16 sessions.

  7. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 15, 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
    Jan 3, 1928 - Jun 9, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6008 points on June 9, 2025, gaining 0.13% from the previous session. Over the past month, the index has climbed 2.80% and is up 12.07% 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 June of 2025.

  8. S&P 500 stock data

    • kaggle.com
    zip
    Updated Aug 11, 2017
    + more versions
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    Cam Nugent (2017). S&P 500 stock data [Dataset]. https://www.kaggle.com/camnugent/sandp500
    Explore at:
    zip(31994392 bytes)Available download formats
    Dataset updated
    Aug 11, 2017
    Authors
    Cam Nugent
    License

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

    Description

    Context

    Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

    The script I used to acquire all of these .csv files can be found in this GitHub repository In the future if you wish for a more up to date dataset, this can be used to acquire new versions of the .csv files.

    Content

    The data is presented in a couple of formats to suit different individual's needs or computational limitations. I have included files containing 5 years of stock data (in the all_stocks_5yr.csv and corresponding folder) and a smaller version of the dataset (all_stocks_1yr.csv) with only the past year's stock data for those wishing to use something more manageable in size.

    The folder individual_stocks_5yr contains files of data for individual stocks, labelled by their stock ticker name. The all_stocks_5yr.csv and all_stocks_1yr.csv contain this same data, presented in merged .csv files. Depending on the intended use (graphing, modelling etc.) the user may prefer one of these given formats.

    All the files have the following columns: Date - in format: yy-mm-dd Open - price of the stock at market open (this is NYSE data so all in USD) High - Highest price reached in the day Low Close - Lowest price reached in the day Volume - Number of shares traded Name - the stock's ticker name

    Acknowledgements

    I scraped this data from Google finance using the python library 'pandas_datareader'. Special thanks to Kaggle, Github and The Market.

    Inspiration

    This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided. From these data informative stock stats such as volatility and moving averages can be easily calculated. The million dollar question is: can you develop a model that can beat the market and allow you to make statistically informed trades!

  9. T

    United States - S&P 500

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). United States - S&P 500 [Dataset]. https://tradingeconomics.com/united-states/s-p-500-index-index-d-na-fed-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 28, 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
    United States
    Description

    United States - S&P 500 was 5939.30000 Index in June of 2025, according to the United States Federal Reserve. Historically, United States - S&P 500 reached a record high of 6144.15000 in February of 2025 and a record low of 676.53000 in March of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - S&P 500 - last updated from the United States Federal Reserve on June of 2025.

  10. S&P 500 performance during major crashes as of August 2020

    • statista.com
    Updated Mar 20, 2023
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    Statista (2023). S&P 500 performance during major crashes as of August 2020 [Dataset]. https://www.statista.com/statistics/1175227/s-and-p-500-major-crashes-change/
    Explore at:
    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of August 2020, the S&P 500 index had lost 34 percent of its value due to the COVID-19 pandemic. However, the Great Crash, which began with Black Tuesday, remains the most significant loss in value in its history. That market crash lasted for 300 months and wiped 86 percent off the index value.

  11. Returns of S&P 500 index in the U.S. 2010-2023, by sector

    • statista.com
    Updated Nov 22, 2024
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    Statista (2024). Returns of S&P 500 index in the U.S. 2010-2023, by sector [Dataset]. https://www.statista.com/statistics/580711/sandp-500-returns-by-sector/
    Explore at:
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the S&P 500 Information Technology Index outperformed other sectors, with annual return of 57.8 percent. On the other hand, the S&P 500 Utilities Index recorded the lowest returns, with a loss of 7.1 percent.

  12. T

    United States Stock Market Index (US500) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 7, 2015
    + more versions
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    TRADING ECONOMICS (2015). United States Stock Market Index (US500) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/spx:ind
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Nov 7, 2015
    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, 2000 - Jun 9, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this June 9 of 2025.

  13. Largest S&P 500 companies by market cap 2025

    • statista.com
    Updated Apr 10, 2025
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    Statista (2025). Largest S&P 500 companies by market cap 2025 [Dataset]. https://www.statista.com/statistics/1181188/sandp500-largest-companies-market-cap/
    Explore at:
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 10, 2025
    Area covered
    United States
    Description

    As of April 10, 2025, tech giants Apple, Microsoft, Nvidia, Alphabet (Google), and Amazon dominated the S&P 500 index and were among only eight companies with a market capitalization exceeding one trillion U.S. dollars in the U.S.

  14. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jun 6, 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
    Jun 6, 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 2015-06-08 to 2025-06-06 about stock market, average, industry, and USA.

  15. Stock Portfolio Data with Prices and Indices

    • kaggle.com
    Updated Mar 23, 2025
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    Nikita Manaenkov (2025). Stock Portfolio Data with Prices and Indices [Dataset]. http://doi.org/10.34740/kaggle/dsv/11140976
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2025
    Dataset provided by
    Kaggle
    Authors
    Nikita Manaenkov
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.

    1. Portfolio

    This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.

    • Columns:
      • Ticker: The stock symbol (e.g., AAPL, TSLA)
      • Quantity: The number of shares in the portfolio
      • Sector: The sector the stock belongs to (e.g., Technology, Healthcare)
      • Close: The closing price of the stock
      • Weight: The weight of the stock in the portfolio (as a percentage of total portfolio)

    2. Portfolio Prices

    This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol
      • Open: The opening price of the stock on that day
      • High: The highest price reached on that day
      • Low: The lowest price reached on that day
      • Close: The closing price of the stock
      • Adjusted: The adjusted closing price after stock splits and dividends
      • Returns: Daily percentage return based on close prices
      • Volume: The volume of shares traded that day

    3. NASDAQ

    This file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for NASDAQ index, this will be "IXIC")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    4. S&P 500

    This file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for S&P 500 index, this will be "SPX")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    5. Dow Jones

    This file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for Dow Jones index, this will be "DJI")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    Personal Portfolio Data

    This data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.

    This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.

  16. F

    CBOE S&P 500 3-Month Volatility Index

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). CBOE S&P 500 3-Month Volatility Index [Dataset]. https://fred.stlouisfed.org/series/VXVCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE S&P 500 3-Month Volatility Index (VXVCLS) from 2007-12-04 to 2025-06-05 about VIX, volatility, 3-month, stock market, and USA.

  17. S&P 500 (^GSPC) Historical Data

    • kaggle.com
    Updated May 11, 2025
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    PJ (2025). S&P 500 (^GSPC) Historical Data [Dataset]. https://www.kaggle.com/datasets/paveljurke/s-and-p-500-gspc-historical-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    PJ
    License

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

    Description

    Full historical data for the S&P 500 (ticker ^GSPC), sourced from Yahoo Finance (https://finance.yahoo.com/).

    Including Open, High, Low and Close prices in USD + daily volumes.

    Info about S&P 500: https://en.wikipedia.org/wiki/S%26P_500

  18. SP500 Stock Market Index

    • kaggle.com
    Updated Sep 25, 2020
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    Elvin Aghammadzada (2020). SP500 Stock Market Index [Dataset]. https://www.kaggle.com/elvinagammed/sp500-stock-market-index/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 25, 2020
    Dataset provided by
    Kaggle
    Authors
    Elvin Aghammadzada
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    The S&P 500,[2] or simply the S&P,[4] is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices.[5] The average annual total return and compound annual growth rate of the index, including dividends, since inception in 1926 has been approximately 9.8%, or 6% after inflation; however, there were several years where the index declined over 30%.[6][7] The index has posted annual increases 70% of the time.[5] However, the index has only made new highs on 5% of trading days, meaning that on 95% of trading days, the index has closed below its all-time high.[8]

    For a list of the components of the index, see List of S&P 500 companies. The components that have increased their dividends in 25 consecutive years are known as the S&P 500 Dividend Aristocrats.[9]:25

    The S&P 500 index is a capitalization-weighted index and the 10 largest companies in the index account for 26% of the market capitalization of the index. The 10 largest companies in the index, in order of weighting, are Apple Inc., Microsoft, Amazon.com, Alphabet Inc., Facebook, Johnson & Johnson, Berkshire Hathaway, Visa Inc., Procter & Gamble and JPMorgan Chase, respectively.[2]

    Funds that track the index have been recommended as investments by Warren Buffett, Burton Malkiel, and John C. Bogle for investors with long time horizons.[10]

    Although the index includes only companies listed in the United States, companies in the index derive on average only 71% of their revenue in the United States.[11]

    The index is one of the factors in computation of the Conference Board Leading Economic Index, used to forecast the direction of the economy.[12]

    The index is associated with many ticker symbols, including: ^GSPC,[13] INX,[14] and $SPX, depending on market or website.[15] The index value is updated every 15 seconds, or 1,559 times per trading day, with price updates disseminated by Reuters.[16]

    The S&P 500 is maintained by S&P Dow Jones Indices, a joint venture majority-owned by S&P Global and its components are selected by a committee.[17][18]

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  19. Performance of private equity funds vs S&P 500 index 2017, by time period

    • statista.com
    Updated Feb 4, 2022
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    Statista (2022). Performance of private equity funds vs S&P 500 index 2017, by time period [Dataset]. https://www.statista.com/statistics/1021926/performance-of-private-equity-funds-globally-by-time-period/
    Explore at:
    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic presents the comparison of performance of private equity funds globally and S&P 500 index in different time periods as of 2017. Private equity funds in the five year period from 2012 to 2017 had a return of 15.2 percent, 1.5 percentage points higher than the S&P 500 stock index.

  20. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jun 12, 2024
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    Statista (2024). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
    Explore at:
    Dataset updated
    Jun 12, 2024
    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 -41.89 percent, while the largest returns were registered in 1999, at 101.95 percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at 14 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, Apple was the largest company on the Nasdaq 100, with a market capitalization of 2.73 trillion euros. Also, Alphabet C, Alphabet, Amazon, and Broadcom 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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MACROTRENDS (2025). S&P 500 - 10 Years of Daily Historical Data [Dataset]. https://www.macrotrends.net/2488/sp500-10-year-daily-chart

S&P 500 - 10 Years of Daily Historical Data

S&P 500 - 10 Years of Daily Historical Data

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7 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
May 27, 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

Area covered
World
Description

Historical dataset of the S&P 500 stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.

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