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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.
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TwitterShell had the highest annual revenue of all companies based in the United Kingdom in 2025, at approximately 284 billion U.S. dollars. BP had the second-highest annual revenue at over 189 billion dollars, followed by HSBC Holdings, which had a revenue of around 142 billion U.S. dollars. In terms of global employee numbers, however, Compass Group had the highest number among UK-based businesses, at approximately half a million in 2024, followed by Tesco at 336,400 and HSBC at almost 211,000. Big Oil, a banking giant, and Britain's top supermarket chain The two companies listed as having the most revenue in the UK this year are also two of the biggest oil and gas companies in the world, alongside Chevron, Eni, ExxonMobil, and TotalEnergies. After a huge surge in energy prices in 2022, these companies saw their profits recede slightly in 2023, but clearly remain in strong financial positions as of 2024. HSBC Holdings, meanwhile, was the largest bank in Europe in terms of market capitalization, and was estimated to have the second-highest number of UK-based customers in 2024. The company with the fourth-highest revenue in this year, Tesco has by some distance the largest grocery-market share in Great Britain, a position it has maintained despite growing competition from discounters like Lidl and Aldi. UK economy health check In the first quarter of 2025, the UK economy grew by 0.7 percent, emerging from a brief slowdown in growth towards the end of 2024. Consumer Price inflation, has, however, started to increase, with the inflation rate reaching 3.5 percent in April, the highest rate since January 2024. Furthermore, the UK labor market is showing signs of weakness, with quite a high number of job losses since the start of the year. Alongside these generally negative signs, business confidence in the UK has been falling, with the main concern of UK firms being that of taxation, as of early 2025.
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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:
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TwitterIn 2024, Google's parent company reported an annual revenue increase of ** percent. In 2024, video content and streaming platform Netflix increased its annual revenue by ** percent. Meta Platforms (formerly Facebook Inc.) generated a ** percent year-on-year revenue increase during the same period. Additionally, Amazon had a year-over-year revenue increase of ** percent for its fiscal year of 2024.
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Graph and download economic data for Total Revenue for Credit Card Issuing, All Establishments, Employer Firms (REVEF52221ALLEST) from 2009 to 2022 about issues, employer firms, finance companies, credit cards, accounting, companies, revenue, establishments, finance, financial, services, and USA.
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United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on November of 2025.
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TwitterIn 2024, Cargill was the largest private company in the United States, by revenue. That year, they had a revenue of 160 billion U.S. dollars. In comparison, gas station company QuikTrip made around 19.6 billion U.S. dollars. Cargill Cargill is a multinational corporation that focuses on agricultural services, crop and livestock, raw materials, and health and pharmaceuticals. Most of their business focuses on purchasing and distributing grain, palm oil, energy trade, and steel. It is a family-owned business headquartered in Minnetonka, Minnesota, and founded in 1865. It operates in over 60 countries, has about 150,000 employees, and is responsible for about a quarter of all United States grain exports. Additionally, it also supplies about a quarter of the domestic meat market. Largest U.S. companies United Healthcare Group was the largest health insurance company in 2018, while SC Johnson was the largest private household and personal care product company. United Healthcare is also headquartered in Minnetonka, Minnesota, while SC Johnson is headquartered in Racine, Wisconsin. United Healthcare is not only the largest health insurance company in the United States, but also worldwide. Furthermore, SC Johnson is one of the oldest family-owned companies in the country, and currently over owns over 20 brands.
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In this dataset you will find information on the largest corporations in the world based on assets, revenue, sales, market value, etc.
This dataset comes from https://data.world/youngx62/worlds-largest-companies-by-revenue
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Context :
This dataset contains the official Fortune Global 500 list for the year 2023. It ranks the top 55 companies worldwide based on total annual revenue. The data was extracted from the Fortune website using Python’s pd.read_html() function.
Each row includes the following details:
•Industries
•Company
•Country
•Rank
•Revenue_m
This dataset can be used for business analysis, market research, data visualization, and machine learning projects related to global economics and corporate performance.
Data Description :
industry - The industry sector the company operates in.
company - The name of the company.
country - The country where company headquarter is situated.
rank - company's global position.
revenue_m - company's total revenue in million.
Source: Fortune Global 500 2023
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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
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Graph and download economic data for Total Revenue for All Other Financial Investment Activities, Establishments Subject to Federal Income Tax, Employer Firms (REVEF52399TAXABL) from 2009 to 2022 about employer firms, finance companies, accounting, companies, revenue, establishments, finance, tax, investment, financial, services, and USA.
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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.
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?
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Graph and download economic data for Total Revenue for Investment Advice, All Establishments, Employer Firms (REVEF52393ALLEST) from 1998 to 2022 about employer firms, finance companies, accounting, companies, revenue, establishments, finance, investment, financial, services, and USA.
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Graph and download economic data for Total Revenue for Other Depository Credit Intermediation, Establishments Subject to Federal Income Tax, Employer Firms (REVEF52219TAXABL) from 2009 to 2022 about intermediate, employer firms, finance companies, accounting, companies, revenue, establishments, finance, credits, tax, financial, services, and USA.
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Total-Revenue Time Series for Vulcan Materials Company. Vulcan Materials Company produces and supplies construction aggregates in the United States. It operates through three segments: Aggregates, Asphalt, and Concrete. The company provides crushed stone, sand and gravel, sand, riprap and jetty stones, and other aggregates for use in construction and maintenance of highways, streets, and other public works, as well as in the construction of housing and commercial, industrial, and other nonresidential facilities; asphalt mix; asphalt construction paving services; and ready-mixed concrete products. The company was formerly known as Virginia Holdco, Inc. and changed its name to Vulcan Materials Company. Vulcan Materials Company was founded in 1909 and is headquartered in Birmingham, Alabama.
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China Listed Company: Total Revenue: Media data was reported at 226.883 RMB bn in 2023. This records an increase from the previous number of 206.549 RMB bn for 2022. China Listed Company: Total Revenue: Media data is updated yearly, averaging 181.088 RMB bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 226.883 RMB bn in 2023 and a record low of 53.511 RMB bn in 2012. China Listed Company: Total Revenue: Media data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Total Revenue.
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This horizontal bar chart displays revenues ($) by companies using the aggregation sum. The data is about companies.
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China Listed Company: Total Revenue: Conglomerate data was reported at 54.351 RMB bn in 2023. This records a decrease from the previous number of 67.560 RMB bn for 2022. China Listed Company: Total Revenue: Conglomerate data is updated yearly, averaging 39.343 RMB bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 67.560 RMB bn in 2022 and a record low of 24.044 RMB bn in 2012. China Listed Company: Total Revenue: Conglomerate data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Total Revenue.
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Eli Lilly and Company's annual revenue was $45.04 B in fiscal year 2024. The annual revenue increased $10.92 B from $34.12 B (in 2023) to $45.04 B (in 2024), representing a 32.00% year-over-year growth.
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Sherwin-Williams Company's annual revenue was $23.10 B in fiscal year 2024. The annual revenue increased $46.60 M from $23.05 B (in 2023) to $23.10 B (in 2024), representing a 0.20% year-over-year growth.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.