Fortune 500 Company Stats 2023

SQL
Data Analysis
Database Management
The dynamics of global commerce are profoundly influenced by Fortune 500 companies, recognized for their innovation and economic significance. An examination of these corporations focuses on the role of female leadership and its contribution to shaping some of the most influential organizations worldwide. This analysis aims to investigate the progress in gender diversity within corporate leadership and assess the economic influence of these corporations, especially in major urban areas like New York. The study of the Fortune 500 extends beyond academic interest, highlighting the importance of diversity and innovation in molding corporate cultures, driving business success, and impacting the socio-economic environment. This exploration seeks to understand the comprehensive effect of these companies, beyond just their financial performance.
Data Source
The data was scraped from fortune.com and uploaded to kaggle.com by Garreth Lee on June 15, 2023 in a .csv file. Source code: https://github.com/rajarshi-mandal/market-value-of-fortune-500-companies The following is a sample of the dataset. Web scraped from fortune.com
sql
create table fortune_500_companies
(
    name                    text,
    rank                    integer,
    year                    integer,
    industry                text,
    sector                  text,
    headquarters_state      text,
    headquarters_city       text,
    market_value_mil        double precision,
    revenue_mil             double precision,
    profit_mil              double precision,
    asset_mil               double precision,
    employees               text,
    founder_is_ceo          bit,
    female_ceo              text,
    newcomer_to_fortune_500 text,
    global_500              text
);
sql
INSERT INTO fortune_500_companies (name, rank, year, industry, sector, headquarters_state, headquarters_city, market_value_mil, revenue_mil, profit_mil, asset_mil, employees, founder_is_ceo, female_ceo, newcomer_to_fortune_500, global_500)
VALUES
    ('Walmart', 1, 2023, 'General Merchandisers', 'Retailing', 'AR', 'Bentonville', '397475', 611289, '11680', '243197', '2100000', 'no', 'no', 'no', 'yes'),
    ('Amazon', 2, 2023, 'Internet Services and Retailing', 'Retailing', 'WA', 'Seattle', '1058440', 513983, '2722', '462675', '1541000', 'no', 'no', 'no', 'yes'),
    ('Exxon Mobil', 3, 2023, 'Petroleum Refining', 'Energy', 'TX', 'Irving', '446424', 413680, '55740', '369067', '62000', 'no', 'no', 'no', 'yes'),
    ('Apple', 4, 2023, 'Computers, Office Equipment', 'Technology', 'CA', 'Cupertino', '2609039', 394328, '99803', '352755', '164000', 'no', 'no', 'no', 'yes'),
    ('UnitedHealth Group', 5, 2023, 'Health Care: Insurance and Managed Care', 'Health Care', 'MN', 'Minnetonka', '440854', 324162, '20120', '245705', '4e+05', 'no', 'no', 'no', 'yes'),
    ('CVS Health', 6, 2023, 'Health Care: Pharmacy and Other Services', 'Health Care', 'RI', 'Woonsocket', '95422', 322467, '4149', '228275', '259500', 'no', 'yes', 'no', 'yes'),
    ('Berkshire Hathaway', 7, 2023, 'Insurance: Property and Casualty (Stock)', 'Financials', 'NE', 'Omaha', '675657', 302089, '22819', '948452', '383000', 'no', 'no', 'no', 'yes'),
    ('Alphabet', 8, 2023, 'Internet Services and Retailing', 'Technology', 'CA', 'Mountain View', '1330201', 282836, '59972', '365264', '190234', 'no', 'no', 'no', 'yes'),
    ('McKesson', 9, 2023, 'Wholesalers: Health Care', 'Health Care', 'TX', 'Irving', '48757', 263966, '1114', '63298', '66500', 'no', 'no', 'no', 'yes'),
    ('Chevron', 10, 2023, 'Petroleum Refining', 'Energy', 'CA', 'San Ramon', '311093', 246252, '35465', '257709', '43846', 'no', 'no', 'no', 'yes'),
    ('AmerisourceBergen', 11, 2023, 'Wholesalers: Health Care', 'Health Care', 'PA', 'Conshohocken', '32384', 238587, '1699', '56561', '41500', 'no', 'no', 'no', 'yes'),
    ('Costco Wholesale', 12, 2023, 'General Merchandisers', 'Retailing', 'WA', 'Issaquah', '220354', 226954, '5844', '64166', '304000', 'no', 'no', 'no', 'yes'),
    ('Microsoft', 13, 2023, 'Computer Software', 'Technology', 'WA', 'Redmond', '2146049', 198270, '72738', '364840', '221000', 'no', 'no', 'no', 'yes'),
    ('Cardinal Health', 14, 2023, 'Wholesalers: Health Care', 'Health Care', 'OH', 'Dublin', '19452', 181364, '933', '43878', '46035', 'no', 'no', 'no', 'yes'),
    ('Cigna', 15, 2023, 'Health Care: Pharmacy and Other Services', 'Health Care', 'CT', 'Bloomfield', '75901', 180516, '6668', '143932', '70231', 'no', 'no', 'no', 'yes'),
    ('Marathon Petroleum', 16, 2023, 'Petroleum Refining', 'Energy', 'OH', 'Findlay', '59544', 180012, '14516', '89904', '17800', 'no', 'no', 'no', 'yes'),
    ('Phillips 66', 17, 2023, 'Petroleum Refining', 'Energy', 'TX', 'Houston', '46727', 175702, '11024', '76442', '13000', 'no', 'no', 'no', 'yes'),
    ('Valero Energy', 18, 2023, 'Petroleum Refining', 'Energy', 'TX', 'San Antonio', '51351', 171189, '11528', '60982', '9743', 'no', 'no', 'no', 'yes'),
    ('Ford Motor', 19, 2023, 'Motor Vehicles & Parts', 'Motor Vehicles & Parts', 'MI', 'Dearborn', '50400', 158057, '1981', '255884', '173000', 'no', 'no', 'no', 'yes'),
    ('Home Depot', 20, 2023, 'Specialty Retailers: Other', 'Retailing', 'GA', 'Atlanta', '299534', 157403, '17105', '76445', '471600', 'no', 'no', 'no', 'yes'),
    ('General Motors', 21, 2023, 'Motor Vehicles & Parts', 'Motor Vehicles & Parts', 'MI', 'Detroit', '51155', 156735, '9934', '264037', '167000', 'no', 'yes', 'no', 'yes'),
    ('Elevance Health', 22, 2023, 'Health Care: Insurance and Managed Care', 'Health Care', 'IN', 'Indianapolis', '109098', 156595, '6025', '102772', '102300', 'no', 'yes', 'no', 'yes'),
    ('JPMorgan Chase', 23, 2023, 'Commercial Banks', 'Financials', 'NY', 'New York', '383549', 154792, '37676', '3665743', '293723', 'no', 'no', 'no', 'yes'),
    ('Kroger', 24, 2023, 'Food & Drug Stores', 'Food & Drug Stores', 'OH', 'Cincinnati', '35421', 148258, '2244', '49623', '430000', 'no', 'no', 'no', 'yes'),
    ('Centene', 25, 2023, 'Health Care: Insurance and Managed Care', 'Health Care', 'MO', 'St. Louis', '34810', 144547, '1202', '76870', '74300', 'no', 'yes', 'no', 'yes'),
    ('Verizon Communications', 26, 2023, 'Telecommunications', 'Telecommunications', 'NY', 'New York', '163333', 136835, '21256', '379680', '117100', 'no', 'no', 'no', 'yes'),
    ('Walgreens Boots Alliance', 27, 2023, 'Food & Drug Stores', 'Food & Drug Stores', 'IL', 'Deerfield', '29836', 132703, '4337', '90124', '262500', 'no', 'yes', 'no', 'yes'),
    ('Fannie Mae', 28, 2023, 'Diversified Financials', 'Financials', 'DC', 'Washington', '475', 121596, '12923', '4305288', '8000', 'no', 'yes', 'no', 'yes'),
    ('Comcast', 29, 2023, 'Telecommunications', 'Telecommunications', 'PA', 'Philadelphia', '159831', 121427, '5370', '257275', '186000', 'no', 'no', 'no', 'yes'),
    ('AT&T', 30, 2023, 'Telecommunications', 'Telecommunications', 'TX', 'Dallas', '137250', 120741, '8524', '402853', '160700', 'no', 'no', 'no', 'yes'),
    ('Meta Platforms', 31, 2023, 'Internet Services and Retailing', 'Technology', 'CA', 'Menlo Park', '549484', 116609, '23200', '185727', '86482', 'yes', 'no', 'no', 'yes'),
    ('Bank of America', 32, 2023, 'Commercial Banks', 'Financials', 'NC', 'Charlotte', '228780', 115053, '27528', '3051375', '216823', 'no', 'no', 'no', 'yes'),
    ('Target', 33, 2023, 'General Merchandisers', 'Retailing', 'MN', 'Minneapolis', '76250', 109120, '2780', '53335', '440000', 'no', 'no', 'no', 'yes'),
    ('Dell Technologies', 34, 2023, 'Computers, Office Equipment', 'Technology', 'TX', 'Round Rock', '29402', 102301, '2442', '89611', '133000', 'yes', 'no', 'no', 'yes'),
    ('Archer Daniels Midland', 35, 2023, 'Food Production', 'Food, Beverages & Tobacco', 'IL', 'Chicago', '43530', 101556, '4340', '59774', '41181', 'no', 'no', 'no', 'yes'),
    ('Citigroup', 36, 2023, 'Commercial Banks', 'Financials', 'NY', 'New York', '91270', 101078, '14845', '2416676', '238104', 'no', 'yes', 'no', 'yes'),
    ('UPS', 37, 2023, 'Mail, Package, and Freight Delivery', 'Transportation', 'GA', 'Atlanta', '166189', 100338, '11548', '71124', '404700', 'no', 'yes', 'no', 'yes'),
    ('Pfizer', 38, 2023, 'Pharmaceuticals', 'Health Care', 'NY', 'New York', '230292', 100330, '31372', '197205', '83000', 'no', 'no', 'no', 'yes'),
    ('Lowe''s', 39, 2023, 'Specialty Retailers: Other', 'Retailing', 'NC', 'Mooresville', '119253', 97059, '6437', '43708', '244500', 'no', 'no', 'no', 'yes'),
    ('Johnson & Johnson', 40, 2023, 'Pharmaceuticals', 'Health Care', 'NJ', 'New Brunswick', '483576', 94943, '17941', '187378', '152700', 'no', 'no', 'no', 'yes');

Female Leadership Distribution by Sector in the Fortune 500 List

This query aims to find the number of companies in the 2023 Fortune 500 list, aggregated by sector, where the CEO is female. The objective is to provide insights into the distribution of female leadership across different sectors.
sql
SELECT sector, COUNT(*) AS num_companies
FROM fortune_500_companies
WHERE female_ceo = 'yes'
GROUP BY sector
ORDER BY num_companies DESC

Women's Impact in Founding and Leading Fortune 500 Companies

This query is designed to identify companies in the Fortune 500 list that were founded by women and to determine whether the founder currently holds the CEO position. It showcases the significant role of women in both founding and leading major companies.
sql
SELECT name, rank, industry, sector,
CASE
    WHEN founder_is_ceo = 'yes' AND female_ceo = 'yes' THEN 'yes'
    ELSE 'no'
END AS founder_is_ceo_and_female
FROM fortune_500_companies
ORDER BY founder_is_ceo_and_female desc

Economic Impact of Fortune 500 Companies in New York by Industry

This query calculates the total market value (in millions) of companies in the Fortune 500 list based in New York (NY), grouped by industry. It aims to understand the economic impact of different sectors within the state.
sql
SELECT industry, sum(market_value_mil) as total_value_mil
FROM fortune_500_companies
WHERE headquarters_state = 'NY'
GROUP BY industry
HAVING sum(market_value_mil) >= 5000000
ORDER BY total_value_mil DESC

Highlighting Small but Rapidly Growing Newcomers in the Fortune 500 List

The final query identifies newcomers to the Fortune 500 list with fewer than 5,000 employees. It highlights small but rapidly growing companies that have successfully made it onto the list.
sql
SELECT name, employees
FROM fortune_500_companies
WHERE employees <= 1000
AND newcomer_to_fortune_500 = 'yes'
ORDER BY employees DESC