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.

The dataset contains information about world's biggest companies.

Among them you can find companies founded in the US, the UK, Europe, Asia, South America, South Africa, Australia.

The dataset contains information about the year the company was founded, its' revenue and net income in years 2018 - 2020, and the industry.

I have included 2 csv files: the raw csv file if you want to practice cleaning the data, and the clean csv ready to be analyzed.

The third dataset includes the name of all the companies included in the previous datasets and 2 additional columns: number of employees and name of the founder.

In addition there's tesla.csv file containing shares prices for Tesla.

Analysis of ‘Germany Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/germany-largest-companiese on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

​Source: Economy Watch

This dataset was created by Finance and contains around 0 samples along with Profits ($billion), Assets ($billion), technical information and other features such as: - Sales ($billion) - Market Value ($billion) - and more.

How to use this dataset

• Analyze Global Rank in relation to Profits ($billion)
• Study the influence of Assets ($billion) on Sales ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

This dataset comprises comprehensive financial information about the top 2,000 global companies for the year 2024. It includes essential metrics such as company name, country of origin, total sales, net profit, total assets, and market value. These metrics offer an in-depth view of the financial performance, market strength, and global reach of leading corporations operating across diverse industries. The data is particularly useful for financial analysts, researchers, and businesses seeking to understand market trends, evaluate corporate performance, and identify investment opportunities. By leveraging this dataset, users can conduct financial analysis, create visualizations, and carry out extensive global market research.

The dataset is also a valuable resource for academic purposes, providing students and educators with real-world examples of financial and economic data to facilitate learning and research. The inclusion of key financial indicators from a broad spectrum of industries makes it an indispensable tool for those aiming to stay informed about the dynamics of the global economy.

Analysis of ‘China Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/china-largest-companiese on 28 January 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

​Source: Economy Watch

This dataset was created by Finance and contains around 100 samples along with Profits ($billion), Market Value ($billion), technical information and other features such as: - Sales ($billion) - Assets ($billion) - and more.

How to use this dataset

• Analyze Global Rank in relation to Profits ($billion)
• Study the influence of Market Value ($billion) on Sales ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Spain (DDAM02ESA156NWDB) from 1998 to 2020 about market cap, Spain, companies, and stock market.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Brazil (DDAM02BRA156NWDB) from 1998 to 2019 about market cap, Brazil, companies, and stock market.

Analysis of ‘Greece Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/greece-largest-companiese on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

​Source: Economy Watch

This dataset was created by Finance and contains around 0 samples along with Market Value ($billion), Assets ($billion), technical information and other features such as: - Profits ($billion) - Market Value ($billion) - and more.

How to use this dataset

• Analyze Assets ($billion) in relation to Profits ($billion)
• Study the influence of Market Value ($billion) on Assets ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Brazil Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/brazil-largest-companiese on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

​Source: Economy Watch

This dataset was created by Finance and contains around 0 samples along with Assets ($billion), Sales ($billion), technical information and other features such as: - Profits ($billion) - Market Value ($billion) - and more.

How to use this dataset

• Analyze Assets ($billion) in relation to Sales ($billion)
• Study the influence of Profits ($billion) on Market Value ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Comparing the 114 selected regions regarding the number of newly registered businesses , the United Kingdom is leading the ranking (0.81 thousand companies) and is followed by Brazil with 0.8 thousand companies. At the other end of the spectrum is Bhutan with 0 thousand companies, indicating a difference of 0.81 thousand companies to the United Kingdom. Shown is the number of newly registered businesses. According to World bank, this refers to the number of new limited liability corporations (or its equivalent) that were registered within a given calendar year.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Cyprus (DDAM02CYA156NWDB) from 2004 to 2020 about Cyprus, market cap, companies, and stock market.

In 1999, Microsoft Corp had a market capitalization of approximately 602.43 billion U.S dollars, making it the largest company in the world at the time. Seven of the ten largest companies worldwide in 1999 were based in the United States, with one company from Japan, and two from Europe.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for New Zealand (DDAM02NZA156NWDB) from 1998 to 2020 about New Zealand, market cap, companies, and stock market.

Analysis of ‘Belgium Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/belgium-largest-companiese on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

​Source: Economy Watch

This dataset was created by Finance and contains around 0 samples along with Profits ($billion), Profits ($billion), technical information and other features such as: - Profits ($billion) - Profits ($billion) - and more.

How to use this dataset

• Analyze Profits ($billion) in relation to Profits ($billion)
• Study the influence of Profits ($billion) on Profits ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Greece (DDAM02GRA156NWDB) from 1998 to 2020 about Greece, market cap, companies, and stock market.

Analysis of ‘Australia Largest Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/australia-largest-companiese on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

From the Forbes Global 2000 list​ last updated on May 2013. Forbes publishes an annual list of the world's 2000 largest publicly listed corporations. ​The Forbes Global 2000 weigh​s​ sales, profits, assets and market value​ equally​ so companies can be ranked by size. Figures for all companies are in US dollars.

http://www.economywatch.com/companies/forbes-list/

This dataset was created by Finance and contains around 0 samples along with Profits ($billion), Sales ($billion), technical information and other features such as: - Assets ($billion) - Market Value ($billion) - and more.

How to use this dataset

• Analyze Profits ($billion) in relation to Sales ($billion)
• Study the influence of Assets ($billion) on Market Value ($billion)
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Finance

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for India (DDAM02INA156NWDB) from 2001 to 2018 about market cap, companies, India, and stock market.

Our Business Listings Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For market and business analysis

Our Business Listings Data gives information about millions of companies, allowing you to find your competitors and see their weak and strong points.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend Business Listings Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global Business Listings Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

Business Listings Data saves time your employees would otherwise use it to manually find potential clients and choose the best prospects.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

Our Web Scraping dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies from around the globe, this scraped data enables you to filter potential clients based on specific criteria and hasten the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Scraping Data on companies gives information about millions of businesses, allowing you to evaluate your competitors.

Use cases

1. Know your competitors
2. See your competitors' size, headcount, and revenue
3. Come up with a data-driven strategy for the next quarter

For Investors

We recommend Web Scraping Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global Web Scraping Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies looking for the next investment
3. Check if a startup is about to reach its maturity
4. Predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

Web Scraping Data saves time your employees would otherwise use it to find potential clients and choose the best prospects manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

Dataset

This dataset was created by sriswaroopkoundinya

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