The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.

Data from Fortune 500's 2024 ranking.
Includes data on top 1000 companies w/ additional info (Stock symbol/*ticker*, CEO name).

What Is the Fortune 1000?

The Fortune 1000 is an annual list of the 1000 largest American companies maintained by the popular magazine Fortune Fortune ranks the eligible companies by revenue generated from core operations, discounted operations, and consolidated subsidiaries Since revenue is the basis for inclusion, every company is authorized to operate in the United States and files a 10-K or comparable financial statement with a government agency -- Source (Investopedia): Fortune 1000: Annual List of Largest American Companies.

Project Background

Fortune magazine publishes this list every year and some lists can be found from different sources. From looking at last year's available datasets, some features were missing or could not be found. The idea was to build a scrapper that includes basic data along with what's included on Company Info (such as CEO, Ticker and website) from the Fortune magazine website.

This year's version of the notebook was just an update to account for changes in the json data structure and, for a few additional figures made available this year (i.e. World's Most Admired Companies).

The html source code from the 2024 fortune 500 Ranking actually includes 1000 companies. A reference page (slug) to additional info is included for each companies which were also scrapped to complete the dataset.

Reference

The original, 2023, dataset and notebook can be found here: - Dataset: 2023 Fortune 1000 Companies - Notebook: 2023 Fortune 1000 Data Acquisition and Analysis

The Dataset

Available formats: csv, parquet

Features are follows:

[Note: References to datatypes are relevant when using the parquet file; Labels refer to the original website names]

• Rank
    dtype: int64; Label: Rank
• Company
    dtype: object; Label: Company
• Ticker
    dtype: object; Label: Ticker
• Sector
    dtype: category; Label: Sector
• Industry
    dtype: category; Label: Industry
• Profitable
    dtype: category; Label: Profitable
• Founder_is_CEO
    dtype: category; Label: Founder is CEO
• FemaleCEO
    dtype: category; Label: Female CEO
• Growth_in_Jobs
    dtype: category; Label: Growth in Jobs
• Change_in_Rank
    dtype: float64; Label: Change in Rank (Full 1000)
• Gained_in_Rank
    dtype: category; Label: Gained in Rank
• Dropped_in_Rank
    dtype: category; Label: Dropped in Rank
• Newcomer_to_the_Fortune500
    dtype: category; Label: Newcomer to the Fortune 500
• Global500
    dtype: category; Label: Global 500
• Worlds_Most_Admired_Companies
    dtype: category; Label: World's Most Admired Companies
• Best_Companies_to_Work_For
    dtype: category; Label: Best Companies to Work For
• Number_of_employees
    dtype: int64; Label: Employees
• MarketCap_March31_M
    dtype: float64; Label: Market Value — as of March 28, 2024 ($M)
• Revenues_M
    dtype: int64; Label: Revenues ($M)
• RevenuePercentChange
    dtype: float64; Label: Revenue Percent Change
• Profits_M
    dtype: int64; Label: Profits ($M)
• ProfitsPercentChange
    dtype: float64; Label: Profits Percent Change
• Assets_M
    dtype: int64; Label: Assets ($M)
• CEO
    dtype: object; Label: CEO
• Country
    dtype: category; Label: Country
• HeadquartersCity
    dtype: object; Label: Headquarters City
• HeadquartersState
    dtype: category; Label: Headquarters State
• Website
    dtype: object; Label: Website
• CompanyType
    dtype: category; Label: Company type
• Footnote
    dtype: object; Label: Footnote
• MarketCap_Updated_M
    dtype: float64; Label: Market value ($M)
• Updated
    dtype: datetime64[ns]; Label: Updated

Note: Additional intermediate debug files are also available from the notebook's output (fortune1000_companies and fortune1000_companiesinfo)

Click to add a cell.

This statistic shows revenue forecasts for 2012 and 2017 for the ** fastest-growing industries in the United States. Revenue in the green & sustainable building construction industry is expected to grow from *** billion U.S. dollars in 2012 to approximately *** billion U.S. dollars by 2017.

Complete list of Fortune 500 companies for 2026, including filing-based rank, company name, ticker, industry, revenue, market capitalization, headquarters city and state, zip code, website, number of employees, and CEO.