100+ datasets found
  1. Top 50 Companies By Revenue (USD Millions)

    • kaggle.com
    zip
    Updated Oct 24, 2024
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    Shubham Parihar 7 (2024). Top 50 Companies By Revenue (USD Millions) [Dataset]. https://www.kaggle.com/datasets/shubhamparihar7/top-50-companies-by-revenue-usd-millions
    Explore at:
    zip(1638 bytes)Available download formats
    Dataset updated
    Oct 24, 2024
    Authors
    Shubham Parihar 7
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Top 50 Companies by Revenue (USD Millions)

    Description : This dataset contains information on the largest companies in the world ranked by their revenue in USD millions. It includes key financial metrics and details about each company, making it a valuable resource for analysis and comparison.

    This list comprises the world's largest companies by consolidated revenue, according to the Fortune Global 500 2024 rankings and other sources. American retail corporation Walmart has been the world's largest company by revenue since 2014. The list is limited to the largest 50 companies, all of which have annual revenues exceeding US$130 billion. This list is incomplete, as not all companies disclose their information to the media or general public. Out of 50 largest companies 23 are American, 17 Asian and 10 European.

    Features :

    • Rank: The rank of the company based on its revenue.
    • Company_Name: The name of the company.
    • Industry: The industry in which the company operates.
    • Revenue (USD Millions): The total revenue of the company in millions of USD.
    • Profit (USD Millions): The total profit of the company in millions of USD.
    • Number of Employees: The total number of employees working for the company.
    • Headquarters: The country where the company's headquarters is located.

    Source : The data has been sourced from the Wikipedia page on List of Largest Companies by Revenue.

    Usage : This dataset can be used for various analyses, including : - Financial performance comparisons across industries. - Visualization of the largest global companies. - Insights into employment statistics in relation to revenue.

    Beginner-Friendly : This dataset is suitable for beginners looking to practice data analysis, data visualization, and financial comparisons. It provides a straightforward structure with easily understandable features, making it an excellent starting point for those new to data science.

  2. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 25, 2025
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    TRADING ECONOMICS (2025). United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 25, 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
    Mar 31, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    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.

  3. Largest companies in US by Revenue

    • kaggle.com
    zip
    Updated Jul 1, 2024
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    Karan Jethwani (2024). Largest companies in US by Revenue [Dataset]. https://www.kaggle.com/datasets/karanjethwani/largest-companies-in-us-by-revenue
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    zip(5399 bytes)Available download formats
    Dataset updated
    Jul 1, 2024
    Authors
    Karan Jethwani
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    Overview This dataset contains information about the largest companies in the United States by revenue. It includes key attributes such as company name, industry, annual revenue, profit, number of employees, and the state where the company is headquartered. The dataset provides valuable insights into the financial and operational aspects of these major corporations.

    Columns Rank: Ranking of the company based on its annual revenue. Name: Name of the company. Industry: Industry in which the company operates. Revenue: Annual revenue of the company in millions of dollars. Profit: Annual profit of the company in millions of dollars. Employees: Number of employees working for the company. State: State where the company’s headquarters are located. Key Insights Revenue Distribution: Significant variation in revenue among the top companies, with some generating much higher revenues. Profit Margins: Wide variation in profit margins, indicating different levels of profitability across industries. Employee Numbers: Disparity in the number of employees, reflecting differences in business models and operational scales. Geographic Spread: Companies are headquartered in various states, with certain states having a higher concentration of large companies. Potential Uses Industry Analysis: Understand trends and performance in different industries. Economic Research: Analyze the economic impact of these large companies. Business Strategy: Inform business strategies and market analysis. Educational Purposes: Use as a case study for business and economic courses. Future Work In-Depth Industry Analysis: Explore specific industries to identify trends and outliers. Time-Series Analysis: Analyze trends over time if historical data becomes available. Comparative Analysis: Compare with similar datasets from other countries. Advanced Visualization: Create interactive dashboards for better data presentation. This dataset is a valuable resource for anyone interested in the financial and operational characteristics of the largest companies in the United States.

  4. Industry Market Cap Dataset

    • kaggle.com
    zip
    Updated Jul 25, 2024
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    Zibran Zarif Amio (2024). Industry Market Cap Dataset [Dataset]. https://www.kaggle.com/datasets/zibranzarif/industry-market-cap-analysis-dataset
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    zip(154299 bytes)Available download formats
    Dataset updated
    Jul 25, 2024
    Authors
    Zibran Zarif Amio
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    About Dataset

    Context

    This dataset contains financial information of 1500 companies across 8 different industries scraped from companiesmarketcap.com on May 2024. It contains information about the company's name, industry, country, employees, marketcap, revenue, earnings, etc.

    Content

    The dataset contains 2 files with the same column names. scraped_company_data.csv file is further transformed and cleaned to produce the finaltransformed_company_data.csvfile.

    1. Company: Full name of the company
    2. Company Path: Website URL of the company
    3. Industry: Associated industry of the company
    4. Country: Location of the company
    5. Employees: Total number of employees of the company
    6. Market Cap: Market capital of the company (as of Mar 2024)
    7. Revenue: Company's current revenue (31 Mar 2023 - 31 Mar 2024)
    8. Earnings: Company's current earnings (31 Mar 2023 - 31 Mar 2024)
    9. Operating Margin: Company's current operating margin (at the end of 2023)
    10. Total Assets: Company's total assets (as of Mar 2024)
    11. Total Liabilities: Company's total liabilities
    12. Total Debt: Company's total debt
    13. Net Assets: Company’s net assets
    14. PE Ratio: Company's current price-to-earnings ratio (31 Mar 2023 - 31 Mar 2024)
    15. PS Ratio: Company's current price-to-sales ratio (31 Mar 2023 - 31 Mar 2024)

    Acknowledgements

    The website companiesmarketcap.com was used to scrape this dataset. Please include citations for this dataset if you use it in your own research.

    Inspiration

    The dataset can be used to find industries with the highest average market value, most profitable industries, most growth-oriented sectors, etc. More interesting insights can be found in this README file.

  5. Largest Companies by Revenue 2024

    • kaggle.com
    zip
    Updated Nov 4, 2024
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    Md.Shadman Shakib (2024). Largest Companies by Revenue 2024 [Dataset]. https://www.kaggle.com/datasets/mdshadmanshakib/largest-companies-by-revenue-2024
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    zip(1448 bytes)Available download formats
    Dataset updated
    Nov 4, 2024
    Authors
    Md.Shadman Shakib
    Description

    The dataset has been meticulously gathered from the website https://companiesmarketcap.com/largest-companies-by-revenue/, which provides comprehensive information on the largest companies globally, ranked by their revenue. This particular dataset is a product of web scraping, a technique used to extract large amounts of data from websites in a structured format. Web scraping involves automated methods to retrieve and process data from web pages, allowing for the collection of information that may not be readily available in a downloadable format. In this case, the scraping process targeted specific elements of the webpage to obtain relevant details such as company names, revenue figures, industry classifications, and other pertinent metrics that reflect the financial performance and stature of these corporations.

  6. World Top Companies: Key Financial Analysis

    • kaggle.com
    zip
    Updated Oct 1, 2024
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    Patrick L Ford (2024). World Top Companies: Key Financial Analysis [Dataset]. https://www.kaggle.com/datasets/patricklford/largest-companies-analysis-worldwide/code
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    zip(1448088 bytes)Available download formats
    Dataset updated
    Oct 1, 2024
    Authors
    Patrick L Ford
    License

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

    Area covered
    World
    Description

    Introduction:

    This analysis delves into the financial performance of top companies by examining key metrics such as revenue, earnings, market capitalisation, P/E ratio, and dividend yield. By comparing these metrics, we gain a comprehensive understanding of a company's scale, profitability, market value, and growth potential. Through visualisations, the analysis also explores correlations between these metrics and offers insights into country-level performance, highlighting economic dominance across various sectors. This holistic approach provides a multi-dimensional view of global financial powerhouses, investor confidence, and regional economic trends.

    Key Metrics Used:

    1. Revenue (Trailing Twelve Months - TTM): - Definition: This is the total income generated by a company from its operations in the last twelve months. - Potential Insights: High revenue often indicates market dominance or high sales volume. Comparing revenues can reveal which companies are the largest in terms of business volume.

    2. Earnings (TTM): - Definition: This refers to the company's profit after taxes and expenses over the trailing twelve months. - Potential Insights: Companies with high earnings are more efficient at converting revenue into profit, suggesting better profitability or cost management. A comparison of earnings provides insight into profitability rather than just scale.

    3. Market Capitalisation (Market Cap): - Definition: Market cap is the total value of a company's outstanding shares of stock, calculated as stock price multiplied by the number of shares. It indicates the company’s size in the stock market. - Potential Insights: High market cap usually indicates investor confidence in the company. Comparing market cap among the top 15 companies reveals their relative size in financial markets.

    4. P/E Ratio (TTM): - Definition: Price-to-Earnings (P/E) ratio measures a company's current share price relative to its per-share earnings. - Potential Insights: A high P/E ratio may indicate that investors expect high growth in the future, while a low P/E ratio could imply undervaluation or scepticism about growth. Companies are compared by their growth prospects or current valuation.

    5. Dividend Yield (TTM): - Definition: Dividend yield is a financial ratio that shows how much a company pays out in dividends each year relative to its share price. - Potential Insights: High dividend yield may indicate that a company returns more income to shareholders. It’s particularly useful for income-focused investors.

    In this combined analysis, we will integrate the observations from the visualisations with the key financial metrics definitions and insights, to offer a comprehensive view of the top companies and country-level analysis across various financial dimensions.

    Data Visualisations

    Visualisation 1: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2F2296eddd53ddd4b84346b1ea1324ec0a%2FScreenshot%202024-10-01%2015.16.51.png?generation=1727864461164331&alt=media" alt=""> Visualisation 2: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fb35516c91e54eda75a03ff073e94dd73%2FScreenshot%202024-10-01%2015.17.53.png?generation=1727864511265917&alt=media" alt=""> Visualisation 3: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2F506ca2428d34b15cd46e4a31261763d7%2FScreenshot%202024-10-01%2015.18.37.png?generation=1727864562835491&alt=media" alt=""> Visualisation 4: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2F41e7a3e28c757239d26226f6a0ccdca9%2FScreenshot%202024-10-01%2015.19.20.png?generation=1727864614352037&alt=media" alt=""> A Markdown document with the R code for the above visualisations. link

    1. Revenue (Trailing Twelve Months - TTM)

    • Definition: The total income generated from a company’s operations over the last 12 months.
    • Insights from Charts:
      • Revenue vs Earnings (Visualisation 2): Companies like Saudi Aramco are massive outliers with high revenues and even higher earnings, indicating impressive profitability despite their revenue volume.
      • Top 10 Countries by Average Revenue (Visualisation 3): China, South Korea, and Japan are at the top, with companies generating significant business volumes.
      • Analysis: High revenue companies like Walmart dominate the market but may not always convert this into proportional earnings or market cap growth. This could be due to operational costs or sector-specific challenges (retail margins being lower than tech).

    2. Earnings (TTM)

    • Definition: Profits...
  7. d

    Womply State-level Business Revenue

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Jun 21, 2025
    + more versions
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    data.ct.gov (2025). Womply State-level Business Revenue [Dataset]. https://catalog.data.gov/dataset/womply-state-level-business-revenue
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.ct.gov
    Description

    Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located. Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44). Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division. Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry. County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon. More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

  8. T

    United Kingdom Corporate Profits

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom Corporate Profits [Dataset]. https://tradingeconomics.com/united-kingdom/corporate-profits
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Sep 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
    Mar 31, 1955 - Sep 30, 2025
    Area covered
    United Kingdom
    Description

    Corporate Profits in the United Kingdom increased to 160993 GBP Million in the third quarter of 2025 from 160867 GBP Million in the second quarter of 2025. This dataset provides the latest reported value for - United Kingdom Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. T

    CORPORATE PROFITS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 23, 2014
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    TRADING ECONOMICS (2014). CORPORATE PROFITS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/corporate-profits
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Apr 23, 2014
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for CORPORATE PROFITS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  10. m

    Applovin Corp - Net-Profit-Margin

    • macro-rankings.com
    csv, excel
    Updated Aug 24, 2025
    + more versions
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    macro-rankings (2025). Applovin Corp - Net-Profit-Margin [Dataset]. https://www.macro-rankings.com/Markets/Stocks/APP-NASDAQ/Key-Financial-Ratios/Profitability/Net-Profit-Margin
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Aug 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Net-Profit-Margin Time Series for Applovin Corp. AppLovin Corporation engages in building a software-based platform for advertisers to enhance the marketing and monetization of their content in the United States and internationally. It operates through two segments, Advertising and Apps. The company offers AppDiscovery, an advertising solution, which matches advertiser demand with publisher supply through auctions; MAX, an in-app bidding technology that optimizes the value of a publisher's advertising inventory by running a real-time competitive auction; Adjust, a measurement and analytics marketing platform that provides marketers with the visibility, insights, and data needed to scale their apps marketing; and Wurl, a connected TV platform, which distributes streaming video for content companies and provides advertising and publishing solutions through its AdPool, TVBits, BrandDiscovery, ContentDiscovery, and Global FAST Pass products. It also provides SparkLabs, which uses app store optimization to enhance ad visibility; AppLovin Exchange, which connects buyers to mobile and CTV devices through a single RTB exchange; and Array, an end-to-end app management suite for mobile operators and end users. In addition, the company operates various free-to-play mobile games through its own or partner studios. It serves individuals, small and independent businesses, enterprises, advertisers and advertising networks, mobile app publishers, and indie studio developers. AppLovin Corporation was incorporated in 2011 and is headquartered in Palo Alto, California.

  11. m

    Redwire Corp - Net-Profit-Margin

    • macro-rankings.com
    csv, excel
    Updated Aug 10, 2025
    + more versions
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    macro-rankings (2025). Redwire Corp - Net-Profit-Margin [Dataset]. https://www.macro-rankings.com/Markets/Stocks/RDW-NYSE/Key-Financial-Ratios/Profitability/Net-Profit-Margin
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 10, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Net-Profit-Margin Time Series for Redwire Corp. Redwire Corporation provides critical space solutions and space infrastructure for government and commercial customers in the United States, Europe, and internationally. The company offers avionics and sensors, including star trackers and sun sensors, which are critical for navigation and control of spacecraft; camera systems; infrared, space situational awareness, and position timing and navigation payloads; solar array solutions for spacecraft spanning the spectrum of size, power needs, and orbital location; and strain composite booms, coilable booms, truss structures, telescope baffles, and deployable booms to position sensors or solar arrays away from the spacecraft. It also provides software suite that enables digital engineering and generation of high-fidelity, interactive modeling and simulations of individual components, entire spacecraft, and full constellations in a cloud-based environment. In addition, the company offers microgravity payloads, radio frequency systems, antennas, spacecraft platforms and missions, and in-space manufacturing and biotech facilities, as well as field-proven uncrewed airborne system (UAS) technology. Redwire Corporation was founded in 2010 and is headquartered in Jacksonville, Florida.

  12. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Suriname, Antigua and Barbuda, Iceland, Georgia, Togo, Montserrat, Guam, United Kingdom, Korea (Democratic People's Republic of), Dominican Republic
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  13. Oracle: revenue by segment 2008-2025

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Oracle: revenue by segment 2008-2025 [Dataset]. https://www.statista.com/statistics/269728/oracles-revenue-by-business-segment/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Oracle’s cloud services and license support division is the company’s most profitable business segment, bringing in over ** billion U.S. dollars in its 2025 fiscal year. In that year, Oracle brought in annual revenue of close to ** billion U.S. dollars, its highest revenue figure to date. Oracle Corporation Oracle was founded by Larry Ellison in 1977 as a tech company primarily focused on relational databases. Today, Oracle ranks among the largest companies in the world in terms of market value and serves as the world’s most popular database management system provider. Oracle’s success is not only reflected in its booming sales figures, but also in its growing number of employees: between fiscal year 2008 and 2021, Oracle’s total employee number has grown substantially, increasing from around ****** to *******. Database market The global database market reached a size of ** billion U.S. dollars in 2020. Database Management Systems (DBMSs) provide a platform through which developers can organize, update, and control large databases, with products like Oracle, MySQL, and Microsoft SQL Server being the most widely used in the market.

  14. m

    Landsea Homes Corp - Gross-Profit-Margin

    • macro-rankings.com
    csv, excel
    Updated Jun 16, 2025
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    macro-rankings (2025). Landsea Homes Corp - Gross-Profit-Margin [Dataset]. https://www.macro-rankings.com/markets/stocks/lsea-nasdaq/key-financial-ratios/profitability/gross-profit-margin
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Gross-Profit-Margin Time Series for Landsea Homes Corp. Landsea Homes Corporation (Nasdaq: LSEA) is a publicly traded residential homebuilder based in Dallas, Texas that designs and builds best-in-class homes and sustainable master-planned communities in some of the nation's most desirable markets. The company has developed homes and communities in New York, Boston, New Jersey, Arizona, Colorado, Florida, Texas and throughout California in Silicon Valley, Los Angeles, and Orange County. Landsea Homes was honored as the Green Home Builder 2023 Builder of the Year, after being named the 2022 winner of the prestigious Builder of the Year award, presented by BUILDER magazine, in recognition of a historical year of transformation. An award-winning homebuilder that builds suburban, single-family detached and attached homes, mid-and high-rise properties, and master-planned communities, Landsea Homes is known for creating inspired places that reflect modern living and provides homebuyers the opportunity to "Live in Your Element." Our homes allow people to live where they want to live, how they want to live " in a home created especially for them. Driven by a pioneering commitment to sustainability, Landsea Homes' High Performance Homes are responsibly designed to take advantage of the latest innovations with home automation technology supported by Apple. Homes include features that make life easier and provide energy savings that allow for more comfortable living at a lower cost through sustainability features that contribute to healthier living for both homeowners and the planet. Led by a veteran team of industry professionals who boast years of worldwide experience and deep local expertise, Landsea Homes is committed to positively enhancing the lives of our homebuyers, employees, and stakeholders by creating an unparalleled lifestyle experience that is unmatched. As of June 24, 2025, Landsea Homes Corporation operates as a subsidiary of The New Home Company Inc.

  15. Global Financial Giants by Revenue 2024

    • kaggle.com
    zip
    Updated Jan 8, 2025
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    Prajwal Dongre (2025). Global Financial Giants by Revenue 2024 [Dataset]. https://www.kaggle.com/datasets/prajwaldongre/global-financial-giants-by-revenue-2024
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    zip(1555 bytes)Available download formats
    Dataset updated
    Jan 8, 2025
    Authors
    Prajwal Dongre
    License

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

    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F7974466%2Fae27b0d929e65b816c7407e8c99ac926%2FAlbedoBase_XL_A_clean_professional_infographicstyle_visualizat_3.jpg?generation=1736320427078468&alt=media" alt="">

    This dataset provides a comprehensive overview of the world's largest financial institutions, including key financial metrics and geographical information. It covers various sectors within the financial industry, including banking, insurance, and conglomerates. The data helps analyze the financial performance and global distribution of major financial players across different regions and business models. The dataset includes essential financial indicators such as revenue, net income, and total assets, allowing for comparative analysis and insights into the financial sector's market leaders. This information is valuable for researchers, analysts, and anyone interested in understanding the global financial landscape.

    Column Descriptions:

    • Rank: Numerical ranking of companies based on revenue
    • Company: Official name of the financial institution
    • Industry: Primary business sector (Banking, Insurance, Conglomerate, etc.)
    • Revenue in (USD Million): Annual revenue in millions of US dollars
    • Net Income in (USD Millions): Annual net profit/income in millions of US dollars
    • Total Assets in (USD Millions): Total company assets in millions of US dollars
    • Headquarters: Country where the company's main headquarters is located
  16. e

    Government revenue; transactions and public sectors

    • data.europa.eu
    atom feed, json
    Updated Oct 31, 2024
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    (2024). Government revenue; transactions and public sectors [Dataset]. https://data.europa.eu/data/datasets/838-overheidsinkomsten-transacties-en-overheidssectoren
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    atom feed, jsonAvailable download formats
    Dataset updated
    Oct 31, 2024
    License

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

    Description

    This table contains data on the revenues of the general government sector. The revenues of the general government sector consist of tax revenues, social contributions receivable, income from productive activities, other current revenues and capital transfers receivable. The terms used are in line with the National Accounts. The national accounts are based on the international definitions of the European System of Accounts (ESA 2010). The transaction time determines the time of booking. The data presented are in line with the publications on the National Accounts. There may be small temporary differences with the publications of the National Accounts due to the fact that the published figures of the government accounts are sometimes more up-to-date.

    The data in this table are consolidated, i.e. mutual flows are eliminated. As a result, the expenditure and revenues of the sub-sectors do not add up to the total expenditure and revenues of general government. Payments from, for example, the central government to the municipalities are part of the expenses of the central government and the income of municipalities. They do not count towards the expenditure and income of the general government, as they are payments from the government to the government.

    Data available from: Annual figures from 1995, quarterly figures from 1999.

    Status of figures: The figures in this table have definitive status for the period 1995-2021. The 2022 quarters have the status provisionally. The annual figures for 2022 have the status definitive. The figures for 2023 and 2024 are provisional.

    Changes as of 24 June 2024: Figures for the first quarter of 2024 are available. The figures for the quarters of 2021 and 2022 are now final. As part of the revision policy of the National Accounts, the annual figures from 1995 and the quarterly figures from the first quarter of 1999 have been revised.

    When will there be new figures? The first figures of the most recent quarter are published three months after the end of a quarter. The first quarter can then be adjusted in September, the second quarter in December and the first three quarters in March. The first annual figures shall be published three months after the end of the reporting year. Subsequently, the annual figures are adjusted twice: six and eighteen months after the end of the reporting year. In addition, interim updates may take place to provide the European Commission with the most up-to-date government data at the end of March and the end of September. The data for the quarters are linked to the adjusted annual figures. The updated annual and quarterly figures are published at the end of June each year. Information on the revision policy of National Accounts can be found under section 3 'relevant articles'.

  17. m

    Autodesk Inc - Gross-Profit

    • macro-rankings.com
    csv, excel
    Updated Nov 26, 2025
    + more versions
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    macro-rankings (2025). Autodesk Inc - Gross-Profit [Dataset]. https://www.macro-rankings.com/markets/stocks/adsk-nasdaq/income-statement/gross-profit
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    excel, csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Gross-Profit Time Series for Autodesk Inc. Autodesk, Inc. provides 3D design, engineering, and entertainment technology solutions worldwide. It offers AutoCAD Civil 3D, a surveying, design, analysis, and documentation solution; Autodesk Build, a toolset for managing, sharing, and accessing project documents for streamlined workflows between the office, trailer, and jobsite; Revit, a software built for building information modeling to help professionals design, build, and maintain energy-efficient buildings; Autodesk BIM Collaborate Pro, cloud-based design collaboration and design management software; BuildingConnected, a SaaS preconstruction solution; and Tandem, a cloud-based platform that transforms the built asset lifecycle. The company also provides AutoCAD software, a customizable and extensible CAD application for professional design, drafting, detailing, and visualization; AutoCAD LT, a drafting and detailing software; Fusion, a 3D CAD, computer-aided manufacturing, and computer-aided engineering tool; Inventor, a software solution that offers a set of tools for 3D mechanical design, simulation, analysis, tooling, visualization, and documentation; product design and manufacturing collection tools; and Vault, a data management software for managing data in one central location, accelerate design processes, and streamline internal/external collaboration. It offers Flow Production Tracking, a cloud-based production management software; Maya software that offers 3D modeling, animation, effects, rendering, and compositing solutions for film and video artists, game developers, and design visualization professionals; Media and Entertainment Collection that offers end-to-end creative tools for entertainment creation; and 3ds Max software, which provides 3D modeling, animation, and rendering solutions. The company sells its products and services through a network of resellers and distributors. The company has a strategic alliance with Eaton Corporation plc for the development of AI-Powered Digital Energy Twin and Software Tools. Autodesk, Inc. was incorpora

  18. T

    Japan Corporate Profits

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Corporate Profits [Dataset]. https://tradingeconomics.com/japan/corporate-profits
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    xml, csv, excel, jsonAvailable 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
    Jun 30, 1954 - Jun 30, 2025
    Area covered
    Japan
    Description

    Corporate Profits in Japan increased to 35833.77 JPY Billion in the second quarter of 2025 from 28469.40 JPY Billion in the first quarter of 2025. This dataset provides - Japan Corporate Profits - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. 2025 list of global top 10 biotech and pharmaceutical companies based on...

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). 2025 list of global top 10 biotech and pharmaceutical companies based on revenue [Dataset]. https://www.statista.com/statistics/272717/top-global-biotech-and-pharmaceutical-companies-based-on-revenue/
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the ranking of the global top 10 biotech and pharmaceutical companies worldwide, based on revenue. The values are based on a 2025 database. U.S. pharmaceutical company Pfizer was ranked first, with a total revenue of around ** billion U.S. dollars. Biotech and pharmaceutical companiesPharmaceutical companies are best known for manufacturing pharmaceutical drugs. These drugs have the aim to diagnose, to cure, to treat, or to prevent diseases. The pharmaceutical sector represents a huge industry, with the global pharmaceutical market being worth around *** trillion U.S. dollars. The best known top global pharmaceutical players are Pfizer, Merck, and Johnson & Johnson from the U.S., Novartis and Roche from Switzerland, Sanofi from France, etc. Most of these companies are involved not only in pure pharmaceutical business, but also manufacture medical technology and consumer health products, vaccines, etc. There are both pure play biotechnology companies and pharmaceutical companies which among other products also produce biotech products within their biotechnological divisions. Most of the leading global pharmaceutical companies have biopharmaceutical divisions. Although not a pure play biotech firm, Roche from Switzerland is among the companies with the largest revenues from biotechnology products worldwide. In contrast, California-based company Amgen was one of the world’s first large pure play biotech companies. Biotech companies use biotechnology to generate their products, most often medical drugs or agricultural genetic engineering. The latter segment is dominated by companies like Bayer CropScience and Syngenta. The United Nations Convention on Biological Diversity defines biotechnology as follows: "Any technological application that uses biological systems, living organisms, or derivatives thereof, to make or modify products or processes for specific use." In fact, biotechnology is thousands of years old, used in agriculture, food manufacturing and medicine.

  20. Countries with the most Facebook users 2024

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Countries with the most Facebook users 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Which county has the most Facebook users?

                  There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.
    
                  Facebook – the most used social media
    
                  Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.
    
                  Facebook usage by device
                  As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.
    
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Shubham Parihar 7 (2024). Top 50 Companies By Revenue (USD Millions) [Dataset]. https://www.kaggle.com/datasets/shubhamparihar7/top-50-companies-by-revenue-usd-millions
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Top 50 Companies By Revenue (USD Millions)

Dataset Featuring the 50 Largest Companies by Revenue

Explore at:
zip(1638 bytes)Available download formats
Dataset updated
Oct 24, 2024
Authors
Shubham Parihar 7
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

Top 50 Companies by Revenue (USD Millions)

Description : This dataset contains information on the largest companies in the world ranked by their revenue in USD millions. It includes key financial metrics and details about each company, making it a valuable resource for analysis and comparison.

This list comprises the world's largest companies by consolidated revenue, according to the Fortune Global 500 2024 rankings and other sources. American retail corporation Walmart has been the world's largest company by revenue since 2014. The list is limited to the largest 50 companies, all of which have annual revenues exceeding US$130 billion. This list is incomplete, as not all companies disclose their information to the media or general public. Out of 50 largest companies 23 are American, 17 Asian and 10 European.

Features :

  • Rank: The rank of the company based on its revenue.
  • Company_Name: The name of the company.
  • Industry: The industry in which the company operates.
  • Revenue (USD Millions): The total revenue of the company in millions of USD.
  • Profit (USD Millions): The total profit of the company in millions of USD.
  • Number of Employees: The total number of employees working for the company.
  • Headquarters: The country where the company's headquarters is located.

Source : The data has been sourced from the Wikipedia page on List of Largest Companies by Revenue.

Usage : This dataset can be used for various analyses, including : - Financial performance comparisons across industries. - Visualization of the largest global companies. - Insights into employment statistics in relation to revenue.

Beginner-Friendly : This dataset is suitable for beginners looking to practice data analysis, data visualization, and financial comparisons. It provides a straightforward structure with easily understandable features, making it an excellent starting point for those new to data science.

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