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S&P 500 Stock Market Fundamentals
Stock & Market Data
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About
Financial information for companies listed in the S&P 500 index is available, encompassing a range of fundamental financial metrics and attributes. This collection of data serves as a valuable resource for financial analysis, investment research, and gaining market insights.
Columns
- Symbol: The unique stock ticker for each S&P 500 company.
- Name: The official corporate title of each company.
- Sector: The industry group to which the company belongs within the S&P 500.
- Price: The current trading price of the company's stock.
- Price/Earnings: The price-to-earnings (P/E) ratio, a key valuation metric.
- Dividend Yield: The ratio of the annual dividend payment to the stock's current price.
- Earnings/Share: A measure of a company's profitability, also known as EPS.
- 52 Week Low: The lowest stock trading price over the past 52 weeks.
- 52 Week High: The highest stock trading price over the past 52 weeks.
- Market Cap: The total market capitalisation of the company.
- EBITDA: Earnings before interest, taxes, depreciation, and amortisation.
- Price/Sales: The price-to-sales ratio, comparing stock price to revenue per share.
- Price/Book: The price-to-book (P/B) ratio, comparing stock price to its book value.
- SEC Filings: Information related to the company's filings with the U.S. Securities and Exchange Commission.
Distribution
The dataset is provided in CSV format with a file size of 90.37 kB. It contains data for 505 records across 14 columns.
Usage
This dataset is ideal for financial analysis, investment research, and developing market insights. It can be used for building financial models, conducting market trend analysis, and performing academic research on corporate finance.
Coverage
The data covers companies listed in the S&P 500 index. As this is a US-based index, the geographic coverage is primarily focused on the United States. The data represents a snapshot in time and is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To perform company valuations and competitive analysis.
- Investors: To screen for investment opportunities based on fundamental metrics.
- Data Scientists: To build predictive models for stock performance.
- Academic Researchers: For studies on market behaviour and corporate finance.
- Students: To learn about financial markets and data analysis.
Dataset Name Suggestions
- S&P 500 Company Financials
- S&P 500 Stock Market Fundamentals
- Complete Financial Data for S&P 500 Companies
- S&P 500 Financial Metrics and Ratios
- US Stock Market: S&P 500 Financial Health
Attributes
Original Data Source: S&P 500 Stock Market Fundamentals
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