With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.

With over 670 billion U.S. dollars in revenue, Walmart topped the ranking of the hundred largest companies globally, followed by Amazon. Walmart was also the largest company in the world based on its number of employees, with some 2.1 million all over the world. Largest corporations based on revenue - additional information The concept of revenue itself might slightly differ depending on country or even from one company to another. It usually refers to the income resulted from normal business activities, such as the sale of goods and services to customers. Walmart The American-based multinational corporation Walmart was founded in 1962 and currently operates over 10,600 stores worldwide, out of which 4,600 are in the United States alone. In 2024, Walmart was ranked the third most valuable retail brand in the world, with a brand value of about 60 billion U.S. dollars. Follow this link to get access to the top 500 companies from all industries list.

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Walmart had about 2.1 million employees in 2024, the highest of all companies worldwide that year. Walmart also led ranking of companies by revenue in 2024. In terms of employees, Amazon followed in second with ahead of Foxconn, also known as Hoi Han Precision Industry.WalmartIn the United States, where Walmart has its highest number of employees, there are 4,600 stores as of 2023, and some 3,500 of these stores are Walmart’s Supercenters . The company has expanded all around the world, especially having a high number of stores in Central America. Amazon The number of people employed by Amazon has increased rapidly in recent years. In 2019, less than 800,000 people worked at the technology company, whereas it employed nearly 1.6 million in 2024. As with the number of employees, its net revenue has also increased over the last years.

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In 2024, the Saudi Arabian oil company Saudi Aramco posted the highest revenue of any company in the world before taxes, with an income of over 208 billion U.S. dollars. Apple, Alphabet, Berkshire Hathaway, and Microsoft rounded out the top five spots in the ranking of most profitable companies. What is net income? Net income, or net profit, which differs slightly from pre-tax income, is the figure that gives the most complete overview of a company’s profitability: It is calculated as the revenue of a company less all operating expenses, debt payments, interest paid, income from subsidiary holdings, taxes, etc. Different industries have different net profit margins. The Apple doesn’t fall far In terms of market value, Microsoft was the largest company in the world in 2024, with Apple following in second. Since the beginning of the new millennium, Apple has reported ever rising amounts of worldwide revenue, with iPhone sales leading the charge.

This report presents key information and issues for all the leading companies in the global food industry for business intelligence requirements. It also provides information on business operations, history, major products and services, prospects, key competitors, key employees, locations and subsidiaries for the companies featured within the report. In addition, the report also provides strengths, weaknesses, opportunities (growth potential) and threats (competition) for all the leading companies in the industry. All strategic and operational business information is objectively reported. Read More

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Discover the top 10 largest trucking companies in the world based on revenue, fleet size, and reach. From UPS to Werner Enterprises, learn about these industry leaders shaping the global supply chain.

The dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.

Data Analysis Tasks:

1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.

2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.

3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.

4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.

5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.

Machine Learning Tasks:

1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).

2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).

3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.

4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.

5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.

The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.

It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.

This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.

By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.

Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.

In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.

Market research report on top 10 bioremediation companies. This report also provides brief information and overview of the global bioremediation market.

Discover the top 10 leading steel manufacturing companies in the world that significantly contribute to the industry's output and influence market trends and innovation.

This report presents key information and issues for all the leading companies in the global retailers industry for business intelligence requirements. It also provides information on business operations, history, major products and services, prospects, key competitors, key employees, locations and subsidiaries for the companies featured within the report. In addition, the report also provides strengths, weaknesses, opportunities (growth potential) and threats (competition) for all the leading companies in the industry. All strategic and operational business information is objectively reported. Read More

Discover the top 10 biggest trucking companies in the logistics and supply chain industry based on revenue, fleet size, and market influence. From UPS to FedEx to J.B. Hunt, learn about the leaders shaping the trucking sector.

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Explore some of the top ceramic companies in the world, including Mohawk Industries, Roca Group, LIXIL Group, and more, who are leading the way in innovation and sustainability in the ceramics industry.

As of May 23, 2025, Microsoft was the leading tech company by market capitalization globally at 3.38 trillion U.S. dollars. Nvidia ranked second at 3.24 trillion U.S. dollars. Tech company stocks were impacted through 2025 as a result of various global tariff threats by the United States government. Apple among the leaders Since its foundation in a Californian garage in 1976, Apple has expanded massively, becoming one of the most valuable companies in the world. The company started its origins in the PC industry with the Macintosh, but soon entered other segments of the consumer electronics market. Today, the iPhone is the most popular Apple product, although Mac, iPad, wearables, and services also contribute to its high revenues. Aiming at innovation, Apple invests every year in research and development, spanning a wide array of technologies from AI through to extended reality. Nvidia's immense growth With a focus that began with origins in gaming, Nvidia's business strategy has been transformed by demand from data centers that sit at the heart of the AI boom. The company's chips have been favored to support in the training and running of a range of large language models, most notably in the development of OpenAI's ChatGPT.

Washington State is not only home to the world's largest manufacturer in terms of volume, but also is among the most attractive states to do business. Washington's diverse manufacturing landscape features major names in aerospace, food processing, electronics and medical device manufacturing. Today, we are exploring Washington's innovative manufacturing sector and exploring the largest industrial companies operating in the state.