Description:

Dive into the dynamic world of the software industry with this comprehensive dataset featuring key metrics from top software companies for the years 2022 to 2023.

This dataset provides valuable insights into:

• 1. Organizations: A list of leading software companies shaping the tech landscape. Sales: Annual sales figures, showcasing the revenue generated by each company. -2.**Market Cap**: Important market capitalization data reflecting the companies' financial health and investor confidence. -3.**Headquarters**: Geographical information about where these companies are headquartered, highlighting regional influence. Harness this rich dataset to conduct exploratory data analysis (EDA), visualize trends, and uncover valuable business insights. Whether you're an analyst, researcher, or data enthusiast, this dataset is perfect for understanding the performance and positioning of key players in the software sector.

Benefits:

Comprehensive: Data covering essential metrics for informed analysis. Recent: Insights from the latest two years (2022-2023) for current market trends. User-Friendly: Organized structure for easy integration with data manipulation tools like Pandas. Take your data analysis to the next level and explore the competitive landscape of the software industry!

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.

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...

The dataset gives a snapshot of the leading technology companies as of January 2024. It shows their global rankings, key financial details, and other important information. These top tech firms are driving advancements in fields like consumer electronics, software, semiconductors, and the equipment and materials used in semiconductor production.

For each company listed, the dataset includes their rank, name, and market capitalization, which tells us how much the company is worth on the stock market. It also provides the stock ticker symbol, which is used to track their shares, and the country where the company is headquartered.

Additionally, the dataset notes the sector each company belongs to, such as Technology, and specifies their industry focus, like Consumer Electronics or Semiconductors. This helps in understanding what areas these companies are leading in.

Dataset: Leading Companies in Market Capitalization https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14839888%2Fe7df5ac47c282cc6288f211b698233c0%2FAdd%20a%20heading%20(5).png?generation=1716157027189074&alt=media" alt="">

Introduction: This dataset provides comprehensive information on the leading companies globally by market capitalization. It includes various key metrics and identifiers for each company, facilitating detailed analysis and comparisons. This dataset is gathered from companies market capital website. below i have given the details of the dataset and columns after that i have given some information about the use cases of this dataset.

About Dataset Columns: Below is a detailed description of each column in the dataset:

1-Rank: -Description: This column shows the ranking number of the company based on its market capitalization. The rankings are in ascending order, with rank 1 representing the company with the highest market capitalization. -Data Type: Integer -Example Values: 1, 2, 3, ...

2-Company: -Description: This column displays the full name of the company. It helps identify the company being analyzed. -Data Type: String -Example Values: "Apple Inc.", "Microsoft Corporation", "Amazon.com Inc."

3-Stock Symbol: -Description: This column contains the stock symbols (ticker symbols) of the companies, which are used for trading on stock exchanges. This is essential for identifying the company's stock in financial markets. -Data Type: String -Example Values: "AAPL", "MSFT", "AMZN"

4-Market Cap (USD): -Description: This column provides the market capitalization of the company in trillion US dollars. Market capitalization is calculated as the share price times the number of outstanding shares, representing the company's total market value. -Data Type: Float (to handle large values with precision) -Example Values: 2.43, 1.87, 1.76

5-Share Price: -Description: This column contains the current share price of the respective company in US dollars. It represents the price at which a single share of the company is traded on the stock market. -Data Type: Float -Example Values: 145.09, 250.35, 3400.50

6-Company Origin: -Description: This column provides the country name where the company is headquartered. It helps in understanding the geographical distribution of the leading companies. -Data Type: String -Example Values: "United States", "China", "Germany

Use Cases of the Leading Companies in Market Capitalization Dataset

This dataset is a treasure of information for anyone interested in the financial world. Here’s how different people and professionals might use it:

1-Investors and Traders: - Stock Picking: Investors can use the dataset to identify top-performing companies by market cap. This helps them make informed decisions about where to put their money. - Comparative Analysis: Traders can compare the share prices and market caps to find potential investment opportunities and trends.

2-Financial Analysts: -Performance Tracking: Analysts can track the performance of leading companies over time, helping them to forecast future trends and provide investment recommendations. -Sector Analysis: By examining the companies and their origins, analysts can identify which sectors and countries are leading the market.

3-Business Students and Educators: -Case Studies: Students can use the dataset for case studies and projects, analyzing the financial health and market position of global giants. -Learning Tool: Educators can use the data to teach about market capitalization, stock markets, and financial metrics.

4-Economists and Researchers: -Economic Indicators: The dataset can help economists understand the economic impact of leading companies on their respective countries and the global market. -Market Dynamics: Researchers can study the market dynamics and how large companies influence economic trends.

5-Journalists and Media: -Reporting: Journalists can use the data to report on the financial health of major companies, industry trends, and economic forecasts. -Insights: Media can provide insights into the rise and fall of company rankings, helping the public stay informed about market changes.

6-Corporate Strategists: -Benchmarking: Companies can benchmark their performance against the leaders in their industry, identifying areas for improvement. -Strategic Planning: Strategists can use the data to develop long-term plans, aiming to enhance their market position.

7-General Public: -Personal Finance: Individuals interested in personal finance can use the dataset to learn more about the companies behind the brands they use daily. -Educational: For anyone curious about how global markets work, this dataset provides a straightforward way to see which companies are at the top and why.

Largest UK companies by market cap

The largest UK companies by market cap are those listed on the UK stock exchange with the highest total value of all shares, representing their perceived worth by investors. These companies, such as BP, Shell, Unilever, HSBC Holdings, and GlaxoSmithKline, are considered some of the most valuable and powerful in the country, with a significant impact on the global economy. AstraZeneca, Rio Tinto, and Reckitt Benckiser are also notable high-market cap companies in the UK, reflecting their strong foothold in their respective markets.

Semiconductor Companies Dataset

This dataset offers detailed information on the top semiconductor businesses worldwide, including information on their market capitalization, place of origin, and industry-specific details. The information is meant to be used for competitive analysis and comparison of the leading semiconductor companies.

File Information

The dataset is provided in CSV format and contains the following columns:

• Rank: The rank of the company based on market capitalization.
• Company: The name of the semiconductor company.
• Market Cap (USD): The market capitalization of the company in US dollars.
• Country: The country where the company's headquarters are located.
• Sector: The sector to which the company belongs.
• Industry: The specific industry within the sector.

Largest Indian & global companies by market capitalization. This is the data that was taken from the companiesmarketcap.com. The csv file which is made by me using the web scraping (Data Gathering method). I have used the bs4 (BeautifulSoup) library for the web scraping. The data of marketcaps of companies is of 20-01-2025.

This data collection contains information about the world's top 100 firms, including their market capitalization, revenue, workers, earnings, net assets, net debt, and total liabilities, among other things. Each subject contains thorough data, and each data is rated based on values in each subject.

Data is divided in sheets: 1-Market Cap 2- Earnings 3- Revenue 4- Employees 5- P/E ratio 6- Dividend % 7- Market Cap gain 8- Market Cap loss 9- Operating Margin 10- Cost to borrow 11- Total assets 12- Net assets 13- Total liabilities 14- Total debt 15-Cash on hand 16- P/B ratio

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.

Data Source: - Article Title: The Global 2000 - Organisation: Forbes - Authors: Andrea Murphy and Hank Tucker - Original Data Updated on June 08, 2023 - Retrieved from https://www.forbes.com/lists/global2000/?sh=60bb65b85ac0

Web Scraping: - Using the robotstxt package in R studio

Data Overview: - The dataset comprises information on 2000 of the world's largest companies, along with several key determinants of their large-scale operations, including sales, profit, assets, and market values. - Data Cleaning: To ensure uniformity, numerical variables were standardized to million USD dollars.

Row: - 2000 Observations: Data related to the world's largest companies and their financial status across the globe.

Columns: - Rank (Ordinal): The company's ranking in the Forbes Global 2000 list. - Company (Categorical): The name of the company. - Country (Categorical): The country where the company is headquartered. - Sales (Numerical): Annual sales revenue of the company (in million USD). - Profit (Numerical): Annual profit of the company (in million USD). - Asset (Numerical): Total assets of the company (in million USD). - Market Value (Numerical): Market capitalization of the company (in million USD). - Publish Year (Ordinal): 2023 (for potential dataset integration).

Useful Tips - Dynamic Trend Analysis: Consider exploring the dynamic trends of the global market by combining this dataset with historical data spanning various decades, such as this set of available datasets(https://www.kaggle.com/datasets/joebeachcapital/forbes-global-2000). This can offer valuable insights into how the world's largest companies have evolved over time.

Market capitalization, referred to as market cap, is the total value of a publicly traded company's outstanding common shares owned by stockholders. Market capitalization is equal to the market price per common share multiplied by the number of common shares outstanding. This dataset comprises of only largest tech companies in the world. The total number of companies is 832 at the moment with a total market cap of $16.936 Trillion dollars.

The columns are: - Rank (as of 27th Sep 2022) - Name - Market Cap (as of 27th Sep 2022) - Price (as of 27th Sep 2022) - Today (27th Sep 2022) - Country

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.

Dataset

This dataset was created by Ankit Pratap Singh

Contents

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.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F84937d0d9ac664fa6c705c0da59564e0%2FScreenshot%202024-12-18%20153807.png?generation=1734532695847825&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Fa927d7f9ef11a23685bbb86a25b44d8d%2FScreenshot%202024-12-18%20153822.png?generation=1734532715073647&alt=media" alt="">

Data Description

The dataset provided includes information about various companies, their stock symbols, financial metrics such as price-to-book ratio and share price, as well as details about their origin countries. Additionally, the dataset contains frequency distribution information for certain ranges of price-to-book ratios and share prices.

About Data

The dataset appears to be a compilation of financial data for different companies, likely for investment analysis or comparison purposes. It includes the following key components:

• Rank: Rank of the company based on some criteria (not explicitly mentioned).
• Company: Name of the company.
• Stock Symbol: Symbol used to identify the company's stock in trading.
• Price to Book Ratio: Financial metric indicating the relationship between a company's market value and its book value.
• Share Price (USD): Price of a single share of the company's stock in US dollars.
• Company Origin: Country where the company is based.
• Label Count: Frequency distribution information for certain ranges of price-to-book ratios and share prices.

This dataset can be utilized for various financial analyses such as company valuation, comparison of financial metrics across companies, and investment decision-making.

For the 23rd year, Forbes’ Global 2000 ranks the largest public companies in the world using four metrics—sales, profits, assets and market value—and despite the geopolitical uncertainty and combativeness resulting from Donald Trump’s tariffs, all four reached records this year. The 2,000 companies on the 2025 list account for $52.9 trillion in annual revenue, $4.9 trillion in profit, $242.2 trillion in assets and $91.3 trillion in market cap.

Those figures for profit, market value and assets have all at least tripled in the last 20 years, with total sales up 140% in that span, demonstrating how much globalization has helped the world grow, including the United States. America’s largest bank, JPMorgan, is ranked No. 1 for the third year in a row, leading 612 U.S.-based companies on the list.

Tech giants like Amazon and Microsoft as well as international behemoths Saudi Aramco and the Industrial and Commercial Bank of China remain entrenched members of the top 10, while Nvidia continues its fast rise up the rankings to 47th this year. We used the latest 12 months of financial data available to us as of April 25, 2025 to calculate the factors used in our ranking.

Major Businesses with Highest Net Assets

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14839888%2F4ec6b027f1043145b207ba3256b7841a%2FAdd%20a%20heading%20(6).png?generation=1716158861337699&alt=media" alt="">

Introduction: This dataset provides comprehensive information on the leading companies globally by Net assets. It includes various key metrics and identifiers for each company, facilitating detailed analysis and comparisons. This dataset is gathered from companies market capital website. below i have given the details of the dataset and columns;

About Dataset Columns: Below is a detailed description of each column in the dataset:

1- Rank: -Description: This column shows the ranking number of the company based on its Net Assets. The rankings are in ascending order, with rank 1 representing the company with the highest market capitalization. -Data Type: Integer -Example Values: 1, 2, 3, ...

2-Company: -Description: This column displays the full name of the company. It helps identify the company being analyzed. -Data Type: String -Example Values: "Apple Inc.", "Microsoft Corporation", "Amazon.com Inc."

3-Stock Symbol: -Description: This column contains the stock symbols (ticker symbols) of the companies, which are used for trading on stock exchanges. This is essential for identifying the company's stock in financial markets. -Data Type: String -Example Values: "AAPL", "MSFT", "AMZN"

4- Net Assets (USD) in Billion: -Description: This column provides the net assets of the company in billion US dollars. net assets are given here according to company balance sheets. -Data Type: Float (to handle large values with precision) -Example Values: 2.43, 1.87, 1.76

5-Share Price: -Description: This column contains the current share price of the respective company in US dollars. It represents the price at which a single share of the company is traded on the stock market. -Data Type: Float -Example Values: 145.09, 250.35, 3400.50

6-Company Origin: -Description: This column provides the country name where the company is headquartered. It helps in understanding the geographical distribution of the leading companies. -Data Type: String -Example Values: "United States", "China", "Germany

This dataset was created by scraping Wikipedia to compile a list of the top 100 companies in the USA. The data includes key information such as company names, industry sectors, revenue figures, and headquarters locations. The dataset captures the most recent rankings of these companies based on metrics like annual revenue, market capitalization, or employee size, as listed on Wikipedia. The dataset serves as a valuable resource for analyzing trends in the U.S. corporate landscape, including industry dominance and geographic distribution of major corporations.

This dataset represent stock value of top 10 AI companies from 1990 until today. You will notice that many of those companies didn't exist in 20th century. However, today they represent the most important tech companies in the world, and their market capitalization is enormous.

These stocks are selected by Forbes Best AI Stocks To Invest