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Major Corporations and Founders Data

Finance & Banking Analytics

Tags and Keywords

Business

Finance

Investing

Corporate

Global

Trusted By
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Major Corporations and Founders Data Dataset on Opendatabay data marketplace

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Free

About

This collection provides detailed financial and operational metrics concerning the world's biggest companies. The data is designed to support analysis of corporate performance, global market trends, and historical business development. It includes fundamental information such as the year of founding, industry classification, and financial results like revenue and net income spanning the period from 2018 through 2020. This resource is valuable for users seeking to understand the scope and scale of global corporate giants.

Columns

The dataset features essential organisational details, including:
  • Company Name: The registered name of the corporate entity.
  • Number of Employees: A metric indicating the size of the workforce, ranging from 50 to 2.3 million employees, with a typical average (mean) around 149k.
  • Founder: The name of the individual or entity responsible for the company's establishment. Notably, entities such as the Government of China and the Government of Spain appear frequently in this category.
  • Year Founded: The date the company was established.
  • Industry: The primary sector in which the company operates.
  • Revenue: The company's reported revenue figures (data available for 2018–2020).
  • Net Income: The company's reported net income figures (data available for 2018–2020).

Distribution

The information is provided across several files, typically in CSV format. The collection includes raw files suitable for data cleaning practice, as well as pre-cleaned files ready for immediate analysis. A specific file detailing employee numbers and founders holds 236 valid records for each column. The data also includes a separate file providing share prices specifically for Tesla.

Usage

This data product is ideally suited for business intelligence analysis, academic research into global economic patterns, and financial modelling. Specific use cases include benchmarking financial performance across industries, studying workforce distribution among major corporations, and investigating the relationship between founding history and current success.

Coverage

The dataset offers worldwide coverage, featuring corporations originally founded in diverse regions including the US, the UK, Europe, Asia, South America, South Africa, and Australia. The financial data (revenue and net income) spans a three-year window, from 2018 to 2020.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: To benchmark revenue and net income across sectors.
  • Data Scientists: For practising data cleaning techniques on the raw files or analysing large corporate structures.
  • Students/Academics: For studying global business history and economic distribution.
  • Investors: To gain insight into the fundamental metrics of publicly traded large businesses.

Dataset Name Suggestions

  • Corporate Global Giants Financials
  • The World's Largest Companies (2018–2020)
  • Global Corporate Benchmarks
  • Major Corporations and Founders Data

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

31/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in ZIP Format