The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

All data acquired on December 11th 2023

1) Ticker: Stock symbol identifying the company.

2) Company: Name of the company.

3) Sector: Industry category to which the company belongs.

4) Industry: Specific sector or business category of the company.

5) Country: Country where the company is based.

6) Market Cap: Total market value of a company's outstanding shares.

7) Price: Current stock price.

8) Change (%): Percentage change in stock price.

9) Volume: Number of shares traded.

10) Price to Earnings Ratio: Ratio of stock price to earnings per share.

11) Price to Earnings: Price-to-earnings ratio based on past earnings.

12) Forward Price to Earnings: Expected price-to-earnings ratio.

13) Price/Earnings to Growth: Ratio of P/E to earnings growth.

14) Price to Sales: Ratio of stock price to annual sales.

15) Price to Book: Ratio of stock price to book value.

16) Price to Cash: Ratio of stock price to cash per share.

17) Price to Free Cash Flow: Ratio of stock price to free cash flow.

18) Earnings Per Share This Year (%): Percentage change in earnings per share for the current year.

19) Earnings Per Share Next Year (%): Percentage change in earnings per share for the next year.

20) Earnings Per Share Past 5 Years (%): Percentage change in earnings per share over the past 5 years.

21) Earnings Per Share Next 5 Years (%): Estimated percentage change in earnings per share over the next 5 years.

22) Sales Past 5 Years (%): Percentage change in sales over the past 5 years.

23) Dividend (%): Dividend yield as a percentage of the stock price.

24) Return on Assets (%): Percentage return on total assets.

25) Return on Equity (%): Percentage return on shareholder equity.

26) Return on Investment (%): Percentage return on total investment.

27) Current Ratio: Ratio of current assets to current liabilities.

28) Quick Ratio: Ratio of liquid assets to current liabilities.

29) Long-Term Debt to Equity: Ratio of long-term debt to shareholder equity.

30) Debt to Equity: Ratio of total debt to shareholder equity.

31) Gross Margin (%): Percentage difference between revenue and cost of goods sold.

32) Operating Margin (%): Percentage of operating income to revenue.

33) Profit Margin: Percentage of net income to revenue.

34) Earnings: Net income of the company.

35) Outstanding Shares: Total number of shares issued by the company.

36) Float: Tradable shares available to the public.

37) Insider Ownership (%): Percentage of company owned by insiders.

38) Insider Transactions: Recent insider buying or selling activity.

39) Institutional Ownership (%): Percentage of company owned by institutional investors.

40) Float Short (%): Percentage of tradable shares sold short by investors.

41) Short Ratio: Number of days it would take to cover short positions.

42) Average Volume: Average number of shares traded daily.

43) Performance (Week) (%): Weekly stock performance percentage.

44) Performance (Month) (%): Monthly stock performance percentage.

45) Performance (Quarter) (%): Quarterly stock performance percentage.

46) Performance (Half Year) (%): Semi-annual stock performance percentage.

47) Performance (Year) (%): Annual stock performance percentage.

48) Performance (Year to Date) (%): Year-to-date stock performance percentage.

49) Volatility (Week) (%): Weekly stock price volatility percentage.

50) Volatility (Month) (%): Monthly stock price volatility percentage.

51) Analyst Recommendation: Analyst consensus recommendation on the stock.

52) Relative Volume: Volume compared to the average volume.

53) Beta: Measure of stock price volatility relative to the market.

54) Average True Range: Average price range of a stock.

55) Simple Moving Average (20) (%): Percentage difference from the 20-day simple moving average.

56) Simple Moving Average (50) (%): Percentage difference from the 50-day simple moving average.

57) Simple Moving Average (200) (%): Percentage difference from the 200-day simple moving average.

58) Yearly High (%): Percentage difference from the yearly high stock price.

59) Yearly Low (%): Percentage difference from the yearly low stock price.

60) Relative Strength Index: Momentum indicator measuring the speed and change of price movements.

61) Change from Open (%): Percentage change from the opening stock price.

62) Gap (%): Percentage difference between the previous close and the current open price.

63) Volume: Total number of shares traded.

This dataset provides financial information for a selection of companies listed on the S&P 500 index in the United States. It includes key metrics such as last recorded stock prices, highest and lowest stock prices, absolute and percentage changes, and trading volumes. The data is collected at a specific point in time and offers insights into the stock market performance of S&P 500 companies.

Context

Alphabet Inc. is a listed US holding company of the former Google LLC, which continues to exist as a subsidiary. The headquarters is Mountain View in Silicon Valley. The company is led by Sundar Pichai as CEO.

With sales of $137 billion, a profit of $30.7 billion and a market value of $ 863.2 billion, Alphabet Inc. ranks 17th among the world's largest companies according to Forbes Global 2000 (as of 4th November 2019). The company had a market cap of $ 766.4 billion in early 2018. In 2019, Alphabet had annual sales of $161.9 billion and an annual profit of $34.3 billion.

Market capitalization of Alphabet (Google) (GOOG)

Market cap: $2.442 Trillion USD

As of August 2025 Alphabet (Google) has a market cap of $2.442 Trillion USD. This makes Alphabet (Google) the world's 4th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Content

Geography: USA

Time period: August 2004- August 2025

Unit of analysis: Google Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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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.

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.

Sure! Here's a copy-paste friendly version of the dataset details you can use directly in your Kaggle dataset description:

📊 Dataset Title: Top 500+ US Stocks - Price, Volume, Market Cap & More (2025)

🧾 Overview

This dataset provides detailed information on over 500 publicly traded US companies, including their current stock price, volume, market capitalization, P/E ratio, and performance indicators such as daily change and 52-week change. It is ideal for financial analysis, algorithmic trading models, or studying market behavior.

📁 Dataset Information

• File Name: stocks.csv
• Total Rows: 529
• Total Columns: 10
• File Size: ~94 KB
• Encoding: UTF-8
• Format: CSV

📌 Column Descriptions

📈 Usage Ideas

• Build a stock screener
• Analyze price performance vs. market cap
• Train machine learning models for price prediction
• Explore relationships between volume, P/E ratio, and growth
• Filter stocks based on volatility or long-term growth

Dividend-Per-Share Time Series for Weyerhaeuser Company. Weyerhaeuser Company, one of the world's largest private owners of timberlands, began operations in 1900 and today owns or controls approximately 10.4 million acres of timberlands in the U.S., as well as additional public timberlands managed under long-term licenses in Canada. Weyerhaeuser has been a global leader in sustainability for more than a century and manages 100 percent of its timberlands on a fully sustainable basis in compliance with internationally recognized sustainable forestry standards. Weyerhaeuser is also one of the largest manufacturers of wood products in North America and operates additional business lines around product distribution, climate solutions, real estate, and energy and natural resources, among others. In 2024, the company generated $7.1 billion in net sales and employed approximately 9,400 people who serve customers worldwide. Operated as a real estate investment trust, Weyerhaeuser's common stock trades on the New York Stock Exchange under the symbol WY.

Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Ebitda-Per-Share Time Series for Employers Holdings Inc. Employers Holdings, Inc., through its subsidiaries, provides workers' compensation insurance and services in the United States. The company offers insurance to small businesses in low to medium hazard industries. It market its products through local, regional, specialty and national insurance agents and brokers; national, regional, and local trade groups and associations; and direct-to-customer interactions. Employers Holdings, Inc. was founded in 2000 and is based in Reno, Nevada.

The Brain Language Metrics on Company Filings (BLMCF) dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately 6000+ US stocks.

Recent literature works claim inefficiencies in the market response to company filings information due to the increased complexity and length of such reports (see for example “Lazy Prices” Cohen et al. 2018 or “ The Positive Similarity of Company Filings and the Cross-Section of Stock Returns”, M. Padysak 2020).

Our dataset is made of two parts; the first one includes the language metrics of the most recent 10-K or 10-Q report for each firm, namely:

1. Financial sentiment

2. Percentage of words belonging to financial domain classified by language types. e.g. “Constraining” language or “Litigious” language

Factsheet https://braincompany.co/assets/files/BLM_CF_V2_summary.pdf

Dividend-Per-Share Time Series for American Financial Group Inc. American Financial Group, Inc., an insurance holding company, provides specialty property and casualty insurance products in the United States. The company offers property and transportation insurance products, such as physical damage and liability coverage for buses and trucks other specialty transportation niches, inland and ocean marine, agricultural-related products, and other commercial property coverages; specialty casualty insurance, including primarily excess and surplus, executive and professional liability, general liability, umbrella and excess liability, and specialty coverage in targeted markets, as well as customized programs for small to mid-sized businesses and workers' compensation insurance; and specialty financial insurance products comprising risk management insurance programs for lending and leasing institutions, fidelity and surety products, and trade credit insurance. It sells its property and casualty insurance products through independent insurance agents and brokers. The company was founded in 1872 and is headquartered in Cincinnati, Ohio.

This dataset facilitates an analysis of the impact of the recent Israel-Hamas conflict on the stock market performance of U.S. defense companies, as measured by the returns of defense-sector Exchange-Traded Funds (ETFs). The conflict is quantified using variables such as a binary "attack" indicator, casualty counts, and the intensity of Google search activity related to the war. Additionally, the dataset incorporates a comprehensive set of control variables, including interest rates, exchange rates, oil prices, inflation rates, and factors related to the Ukraine conflict, ensuring a robust framework for evaluating the effects of this geopolitical event.

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?

Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on December of 2025.

Ebitda-Per-Share Time Series for Cogent Communications Group Inc. Cogent Communications Holdings, Inc., through its subsidiaries, provides high-speed Internet access, private network, and data center colocation space services in North America, South America, Europe, Oceania, and Africa. The company offers on-net Internet access and private network services to law firms, financial services firms, and advertising and marketing firms, as well as heath care providers, educational institutions and other professional services businesses, other Internet service providers, telephone companies, cable television companies, web hosting companies, media service providers, mobile phone operators, content delivery network companies, and commercial content and application service providers. It also provides Internet access and private network services to customers that are not located in buildings directly connected to its network; and on-net services to customers located in buildings that are physically connected to its network. In addition, the company offers off-net services to corporate customers using other carriers' circuits to provide the last mile portion of the link from the customers' premises to the network. Further, it operates data centers that allow its customers to collocate their equipment and access the network. It serves primarily to small and medium-sized businesses, communications service providers, and other bandwidth-intensive organizations. Cogent Communications Holdings, Inc. was founded in 1999 and is headquartered in Washington, the District of Columbia.

Context

Microsoft is an American company that develops and distributes software and services such as: a search engine (Bing), cloud solutions and the computer operating system Windows.

Market cap

Market capitalization of Microsoft (MSFT)

Market cap: $3.085 Trillion USD

As of February 2025 Microsoft has a market cap of $3.085 Trillion USD. This makes Microsoft the world's 2nd most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Revenue

Revenue for Microsoft (MSFT)
Revenue in 2024 (TTM): $254.19 Billion USD

According to Microsoft's latest financial reports the company's current revenue (TTM ) is $254.19 Billion USD. In 2023 the company made a revenue of $227.58 Billion USD an increase over the revenue in the year 2022 that were of $204.09 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

Earnings

Earnings for Microsoft (MSFT)
Earnings in 2024 (TTM): $110.77 Billion USD

According to Microsoft's latest financial reports the company's current earnings are $254.19 Billion USD. In 2023 the company made an earning of $101.21 Billion USD, an increase over its 2022 earnings that were of $82.58 Billion USD. The earnings displayed on this page are the earnings before interest and taxes or simply EBIT.

End of Day market cap according to different sources On Feb 2nd, 2025 the market cap of Microsoft was reported to be:

• $3.085 Trillion USD by Nasdaq

• $3.085 Trillion USD by CompaniesMarketCap

• $3.085 Trillion USD by Yahoo Finance

Content

Geography: USA

Time period: March 1986- February 2025

Unit of analysis: Microsoft Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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Ebitda-Per-Share Time Series for Porch Group Inc. Porch Group, Inc., together with its subsidiaries, operates a vertical software and insurance platform in the United States. The company operates in home-related product and service industries, including insurance, mortgage software, title insurance software, warranty, moving services, inspection software, home repair, and marketing, financial, and other software for home services companies. It also provides insurance and warranty products to protect their homes; and property-related insurance, whole-home, 90-day, service line, and extended labor warranties under the Porch Warranty, American Home Protect, and Residential Warranty Services brands. In addition, the company offers software and services to inspection, mortgage, and title companies on a subscription and transactional basis, as well as move and post-move services. Further, it provides inspection software and services, mortgage software, moving services, mover and homeowner marketing, and measurement software for roofers. The company was founded in 2011 and is headquartered in Seattle, Washington.

Dividend-Per-Share Time Series for FS KKR Capital Corp. FS KKR Capital Corp. is a business development company specializing in investments in debt securities. It provides customized credit solutions to private middle market U.S. companies. It invest primarily in the senior secured debt and, to a lesser extent, the subordinated debt of private middle market U.S. companies. It seeks to purchase interests in loans through secondary market transactions or directly from the target companies as primary market investments. It also seeks to invest in first lien senior secured loans, second lien secured loans and, to a lesser extent, subordinated loans, or mezzanine loans. In connection with the debt investments, the firm also receives equity interests such as warrants or options as additional consideration. It also seek to purchase minority interests in the form of common or preferred equity in our target companies, either in conjunction with one of the debt investments or through a co-investment with a financial sponsor. Additionally, on an opportunistic basis, the fund may also invest in corporate bonds and similar debt securities. The fund does not seek to invest in start-up companies, turnaround situations, or companies with speculative business plans. It seeks to invest in small and middle-market companies based in United States. The fund seeks to invest in firms with annual revenue between $10 million to $2.5 billion. It focus on providing customized one-stop credit solutions to private upper middle market companies with annual EBITDA of $50 million to $100 million at the time of investment. It seeks to exit from securities by selling them in a privately negotiated over- the- counter market. For any investments that are not able to be sold within the secondary market, the firm seeks to exit such investments through repayment, an initial public offering of equity securities, merger, sale or recapitalization.

Dividend-Per-Share Time Series for Tempus AI, Inc. Class A Common Stock. Tempus AI, Inc. operates as a healthcare technology company. It engages in providing next generation sequencing diagnostics, polymerase chain reaction profiling, molecular genotyping, and other anatomic and molecular pathology testing to healthcare providers, pharmaceutical companies, biotechnology companies, researchers, and other third parties. The company offers Insights, a license library of linked clinical, molecular, and imaging de-identified data, as well as a suite of analytical services to analytic and cloud-and-compute tools to pharmaceutical and biotechnology companies; and Trials that provides clinical trial matching services to pharmaceutical companies. In addition, it operates Next; Algos, a suite of algorithmic tests in oncology; Hub, a desktop and mobile platform for ordering, managing, and receiving tests and patient results; and Lens, a platform for researchers and scientists to find, access, and analyze Tempus data. The company has a strategic collaboration agreement with AstraZeneca and Pathos AI, Inc. to develop therapeutic programs in oncology, as well as strategic collaboration with Personalis, Inc. and Whitehawk Therapeutics, Inc. The company was formerly known as Tempus Labs, Inc. and changed its name to Tempus AI, Inc. in January 2023. Tempus AI, Inc. was incorporated in 2015 and is headquartered in Chicago, Illinois.