View monthly updates and historical trends for S&P 500 Market Cap. from United States. Source: Standard and Poor's. Track economic data with YCharts analy…

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.

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 *** ******** U.S. dollars in the U.S.

This dataset contains the top 20 companies of the S&P 500 by market capitalization for each year from 1989 to 2023.

The data includes: - Year: Reference year - Rank: Company rank by market capitalization - Company: Company name - Ticker: Yahoo Finance ticker symbol - MarketCap_BillionsUSD: Market capitalization in billions of USD

The data was extracted from Finhacker and enriched with tickers.

This dataset is useful for: - Historical financial analysis - Visualization of market capitalization trends - Long-term investment research

View monthly updates and historical trends for US Money Market Funds as % of S&P 500 Market Cap. from United States. Source: Federal Reserve. Track econom…

Context

This is a comprehensive dataset including numerous financial metrics that many professionals and investing gurus often use to value companies. This data is a look at the companies that comprise the S&P 500 (Standard & Poor's 500). The S&P 500 is a capitalization-weighted index of the top 500 publicly traded companies in the United States (top 500 meaning the companies with the largest market cap). The S&P 500 index is a useful index to study because it generally reflects the health of the overall U.S. stock market. The dataset was last updated in July 2020.

Content

There are 14 rows included in this dataset: ``` - 4 character variables: - Symbol: Ticker symbol used to uniquely identify each company on a particular stock market - Name: Legal name of the company - Sector: An area of the economy where businesses share a related product or service - SEC Filings: Helpful documents relating to a company

- 10 numeric variables:
  - Price: Price per share of the company
  - Price to Earnings (PE): The ratio of a company’s share price to its earnings per share
  - Dividend Yield: The ratio of the annual dividends per share divided by the price per share
  - Earnings Per Share (EPS): A company’s profit divided by the number of shares of its stock
  - 52 week high and low: The annual high and low of a company’s share price
  - Market Cap: The market value of a company’s shares (calculated as share price x number of shares)
  - EBITDA: A company’s earnings before interest, taxes, depreciation, and amortization; often used as a proxy for its profitability
  - Price to Sales (PS): A company’s market cap divided by its total sales or revenue over the past year
  - Price to Book (PB): A company’s price per share divided by its book value

### Acknowledgements

I found this data on the website datahub at https://datahub.io/core/s-and-p-500-companies-financials/r/1.html. All references and citations should be given to them.


### Inspiration

What useful information can you gleam from this dataset? Are these fundamentals enough to predict a high-quality company? How can you determine high from low quality? What would you liked to have seen in this dataset?

View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

Unlock a wealth of information with this comprehensive dataset detailing the historical performance of the S&P 500 Index. This dataset includes daily closing prices, trading volumes, and various financial metrics spanning multiple decades, providing invaluable insights into the trends and fluctuations of the U.S. stock market. Ideal for investors, financial analysts, researchers, and educators, this dataset is a key resource for understanding the dynamics of one of the most important stock market indices in the world.

This dataset provides a fascinating look into the ever-changing landscape of the S&P 500 by tracking the top 30 companies by market capitalization from 2010 to 2024. Explore which giants consistently held their ground, which rising stars broke into the ranks, and which former leaders faded from the top.

With columns for 'Year', 'Ticker', 'Weight', '1Y_P' (1-year historical return), '1Y_F' (1-year forward return), 'Industry', and 'Sector', this dataset is a goldmine for analyzing:

Market Concentration: How has the weight of the top companies changed over time? Sector Shifts: Which sectors have dominated the top ranks, and how has this evolved? Performance of Leaders: How did the top companies perform in the year they were included and the year after? Turnover Analysis: Identify which companies were added and removed from the top 30 each year and investigate potential reasons. Whether you're a seasoned quantitative analyst, a student of market trends, or simply curious about the companies shaping the US economy, this dataset offers a unique perspective on market dynamics and the forces driving the S&P 500.

Potential Use Cases:

Time Series Analysis of Market Cap Concentration. Studying sector rotation and dominance. Backtesting strategies based on top-performing companies. Analyzing the characteristics of companies entering or leaving the top 30. Educational purposes for understanding market structure. Dive in and uncover the stories behind the numbers in the S&P 500's top tier!

The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at ******** points, and it dropped approximately 15 percent by September 2022. In August 2025, the daily value of the S&P 500 increased over 6**** points and reached ********as of August 19 of the same year.

View monthly updates and historical trends for S&P 500. from United States. Source: Standard and Poor's. Track economic data with YCharts analytics.

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 December 1 of 2025.

As of August 2020, the S&P 500 index had lost ** 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 ** percent off the index value.

United States - S&P 500 was 6812.63000 Index in December of 2025, according to the United States Federal Reserve. Historically, United States - S&P 500 reached a record high of 6890.89000 in October 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 December of 2025.

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 500 publicly listed stocks in the US (top 500 by market cap).

The data provided here is a tidied and CSV'd version of that collected and prepared by the Economist Robert Shiller and made available on his website.

This data-set has data spanning from 2013 till 2018. The S&P 500 stock market index, maintained by S&P Dow Jones Indices, comprises 505 common stocks issued by 500 large-cap companies and traded on American stock exchanges, and covers about 80 percent of the American equity market by capitalization. The index is weighted by free-float market capitalization, so more valuable companies account for relatively more of the index. The index constituents and the constituent weights are updated regularly using rules published by S&P Dow Jones Indices. Although the index is called the S&P "500", the index contains 505 stocks because it includes two share classes of stock from 5 of its component companies.

The dataset comprises of all the S&P 500 components with the records created for each stock's open and closing rate spanning from last 5 years.

yahoo finance

Graph and download economic data for Stock Market Capitalization to GDP for United States (DDDM01USA156NWDB) from 1975 to 2020 about market cap, stock market, capital, GDP, and USA.

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.

S&P 500: A Bull or a Bear?

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

View monthly updates and historical trends for S&P 500 2 Year Return. from United States. Source: Standard and Poor's. Track economic data with YCharts an…

As of October 6, 2025, the S&P 500 and the S&P 500 ESG index exhibited similar performance; both indexes were weighted to similar industries, as the S&P 500 followed the leading 500 companies in the United States. Throughout 2025, the S&P 500 ESG index steadily outperformed the S&P 500 by ***** points on average. During the coronavirus pandemic, the technology sector was one of the best-performing sectors in the market. The major differences between the two indexes were that the S&P 500 ESG index was skewed towards firms with higher environmental, social, and governance (ESG) scores and had a higher concentration of technology securities than the S&P 500 index. What is a market capitalization index? Both the S&P 500 and the S&P 500 ESG are market capitalization indexes, meaning the individual components (such as stocks and other securities) weighted to the indexes influence the overall value. Market trends such as inflation, interest rates, and international issues like the coronavirus pandemic and the popularity of ESG among professional investors affect the performance of stocks. When weighted components rise in value, this causes an increase in the overall value of the index they are weighted too. What trends are driving index performance? Recent economic and social trends have led to higher levels of ESG integration and maintenance among firms worldwide and higher prioritization from investors to include ESG-focused firms in their investment choices. From a global survey group, over ********* of the respondents were willing to prioritize ESG benefits over a higher return on their investment. These trends influenced the performance of securities on the market, leading to an increased value of individual weighted stocks, resulting in an overall increase in the index value.