Overview This dataset contains information about the largest companies in the United States by revenue. It includes key attributes such as company name, industry, annual revenue, profit, number of employees, and the state where the company is headquartered. The dataset provides valuable insights into the financial and operational aspects of these major corporations.

Columns Rank: Ranking of the company based on its annual revenue. Name: Name of the company. Industry: Industry in which the company operates. Revenue: Annual revenue of the company in millions of dollars. Profit: Annual profit of the company in millions of dollars. Employees: Number of employees working for the company. State: State where the company’s headquarters are located. Key Insights Revenue Distribution: Significant variation in revenue among the top companies, with some generating much higher revenues. Profit Margins: Wide variation in profit margins, indicating different levels of profitability across industries. Employee Numbers: Disparity in the number of employees, reflecting differences in business models and operational scales. Geographic Spread: Companies are headquartered in various states, with certain states having a higher concentration of large companies. Potential Uses Industry Analysis: Understand trends and performance in different industries. Economic Research: Analyze the economic impact of these large companies. Business Strategy: Inform business strategies and market analysis. Educational Purposes: Use as a case study for business and economic courses. Future Work In-Depth Industry Analysis: Explore specific industries to identify trends and outliers. Time-Series Analysis: Analyze trends over time if historical data becomes available. Comparative Analysis: Compare with similar datasets from other countries. Advanced Visualization: Create interactive dashboards for better data presentation. This dataset is a valuable resource for anyone interested in the financial and operational characteristics of the largest companies in the United States.

This dataset offers a detailed collection of US-GAAP financial data extracted from the financial statements of exchange-listed U.S. companies, as submitted to the U.S. Securities and Exchange Commission (SEC) via the EDGAR database. Covering filings from January 2009 onwards, this dataset provides key financial figures reported by companies in accordance with U.S. Generally Accepted Accounting Principles (GAAP).

Dataset Features:

• Data Scope: The dataset is restricted to figures reported under US-GAAP standards, with the exception of EntityCommonStockSharesOutstanding and EntityPublicFloat.
• Currency and Units: The dataset exclusively includes figures reported in USD or shares, ensuring uniformity and comparability. It excludes ratios and non-financial metrics to maintain focus on financial data.
• Company Selection: The dataset is limited to companies with U.S. exchange tickers, providing a concentrated analysis of publicly traded firms within the United States.
• Submission Types: The dataset only incorporates data from 10-Q, 10-K, 10-Q/A, and 10-K/A filings, ensuring consistency in the type of financial reports analyzed.

Data Sources and Extraction:

This dataset primarily relies on the SEC's Financial Statement Data Sets and EDGAR APIs: - SEC Financial Statement Data Sets - EDGAR Application Programming Interfaces

In instances where specific figures were missing from these sources, data was directly extracted from the companies' financial statements to ensure completeness.

Please note that the dataset presents financial figures exactly as reported by the companies, which may occasionally include errors. A common issue involves incorrect reporting of scaling factors in the XBRL format. XBRL supports two tag attributes related to scaling: 'decimals' and 'scale.' The 'decimals' attribute indicates the number of significant decimal places but does not affect the actual value of the figure, while the 'scale' attribute adjusts the value by a specific factor.

However, there are several instances, numbering in the thousands, where companies have incorrectly used the 'decimals' attribute (e.g., 'decimals="-6"') under the mistaken assumption that it controls scaling. This is not correct, and as a result, some figures may be inaccurately scaled. This dataset does not attempt to detect or correct such errors; it aims to reflect the data precisely as reported by the companies. A future version of the dataset may be introduced to address and correct these issues.

The source code for data extraction is available here

This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

Overview

This dataset contains a list of the top 100 companies, ranked by revenue according to Fortune 500. It contains information about the company's revenue in USD, revenue growth percentage, number of employees (as of 2023 or fiscal year 2022), the type of industry the company is and it's headquarters.

Dataset Structure

1. Rank - Rank of the Company by Revenue
2. Name - Name of the Company
3. Industry - The type of Industry the Company is
4. Revenue (USD millions) - Revenue generated by the Company in US Dollars in Millions
5. Revenue Growth - Percentage Revenue Growth of the Company
6. Employees - Total Number of Employees in the Company
7. Headquarters - City, State where the Headquarters of the Company is located

Usage

This dataset is suitable for performing Exploratory Data Analysis. Potential analysis could include highest revenue generating industries, top companies by revenue, companies/industries displaying maximum revenue growth, revenue per employee analysis.

Visualization tools such as Matplotlib and Seaborn could be utilized for a more in-depth analysis to create visual representations of the findings.

This data contains all Corporations and Other Entity filings in the Department of State electronic database. Each record contains the Department of State ID number, Filing ID, Date Filed, Effective Date, Entity Name, the law under which the filing was made and other pertinent filing information.

Business Contact Dataset Structure – USA IT Companies Email List

  Overview

Synthetic B2B contact datasets like this are commonly used for CRM testing, marketing analytics workflows, and machine learning experiments that require realistic business contact database structures. This dataset provides a synthetic example of how business contact databases are structured for CRM systems and marketing analytics platforms.

First Name Last Name Company Job Title Industry… See the full description on the dataset page: https://huggingface.co/datasets/emailmarketingdataset/usa-it-companies-dataset.

Corporate Profits in the United States increased to 3411.70 USD Billion in the third quarter of 2025 from 3259.41 USD Billion in the second quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

For many sales and business development teams, phone outreach remains one of the fastest ways to start real conversations with potential customers. The challenge is not the outreach itself — it is finding reliable phone numbers connected to real companies and professionals.

The US Phone Number Database from Lead For Business helps solve that problem by providing structured business phone contacts linked with company information across the United States. Instead of working with disconnected phone lists, organizations gain access to phone numbers associated with identifiable businesses and professional roles.

The dataset combines business phone numbers, direct dials, and company intelligence, allowing teams to understand who they are contacting and the organization they represent. This additional context helps companies focus their outreach on businesses that match their target market.

Many organizations use the dataset as a phone number list USA, a US business phone numbers database, or a B2B phone leads USA dataset when building prospect lists or conducting outreach campaigns.

Coverage Across the United States

The database includes business phone contacts associated with companies located across the United States.

Coverage spans businesses operating in major economic regions including:

Northeast Midwest South West

Large business hubs such as New York, Los Angeles, Chicago, Houston, San Francisco, Dallas, and Atlanta are strongly represented in the dataset.

This nationwide coverage allows organizations to explore opportunities across different industries and geographic markets. Users can filter records by state, city, region, or industry to focus their outreach on specific business environments.

For example, a software company expanding its sales team may focus on technology companies in California and New York, while a logistics provider may target companies across manufacturing hubs in the Midwest.

Industry Representation

Businesses included in the dataset operate across a wide range of industries within the US economy.

Common sectors represented include:

Technology and Software Financial Services and Fintech Healthcare and Life Sciences Manufacturing and Industrial Services Retail and Ecommerce Marketing and Advertising Professional and Consulting Services Logistics and Transportation Construction and Real Estate Education and Training

Because phone contacts are connected with company attributes, users can identify companies operating in specific sectors or compare businesses across industries.

This flexibility allows teams to tailor outreach strategies based on industry, company size, or geographic location.

Data Fields Included

Each record combines business phone contacts with company information to provide additional context about the organization.

Contact Information

First Name Last Name Job Title Business Phone Number Direct Dial (when available) LinkedIn Profile URL Company Name Company Domain Country City

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Additional Attributes

Company Size Business Category Geographic Region

These fields allow organizations to understand both the contact and the company associated with the phone number.

Common Use Cases

Organizations rely on business phone data for a variety of practical purposes.

B2B Sales Prospecting

Sales teams frequently use business phone contacts to reach professionals inside target companies and introduce their products or services.

Direct Outreach Campaigns

Phone outreach allows teams to connect quickly with potential customers and decision makers across industries.

Business Development

Companies exploring partnerships or collaboration opportunities often begin by identifying businesses and contacting them directly.

Recruitment Research

Recruitment teams sometimes use company contact information when researching organizations within specific industries.

Market and Industry Research

Researchers may analyze company contact datasets to understand how businesses are distributed across sectors and geographic markets.

Because of these uses, the dataset is often searched as direct dials USA, verified US phone numbers, or a business phone number database USA.

Data Sources and Structure

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites business directories professional profiles public corporate records

Collected data is structured and standardized so it can be easily used within CRM systems, sales platforms, analytics tools, and internal prospecting workflows.

Maintaining consistent formatting helps ensure that company and contact information can be integrated smoothly into existing systems.

Dataset Updates

Business environments change frequently as companies grow, move locations, or update their teams.

To maintain usefulness o...

This comprehensive list represents the largest companies in the United States by revenue as of 2022, meticulously compiled by the renowned Fortune 500 ranking. It encompasses publicly traded companies, including those engaged in tax inversion, as well as corporations with foundations in the United States, such as corporate headquarters, operational headquarters, and independent subsidiaries.

While this compilation focuses on publicly traded entities, it is important to note that there are also substantial privately held companies, such as Cargill and Koch Industries, whose financial data may not be publicly accessible. Nonetheless, this list does include several government-sponsored enterprises that originated from acts of Congress and later transitioned to becoming publicly traded.

These companies epitomize the scale and financial might of the American corporate landscape. They encompass diverse industries, ranging from technology and finance to manufacturing and healthcare. With their significant market presence, they not only drive economic growth but also shape global business trends.

Business Inventories in the United States decreased 0.10 percent in January of 2026 over the previous month. This dataset provides - United States Business Inventories - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4MM+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Content

Top Companies of NASDAQ 100 in 2022

Here are the top companies on the NASDAQ 100 index in 2022. NASDAQ 100 is one of the most prominent large-cap growth indices in the world.

Many companies listed in the NASDAQ 100 operate in the tech sector. That is why many investors who are focused investing in tech stocks also invest in NASDAQ index to grow their funds

What is NASDAQ 100?

NASDAQ 100 is a stock market index composed of the 100 largest and most actively traded companies in the United States of America in the non- financial sector and are segmented under technology, retail, industrial, biotechnology, health care, telecom, transportation, media and services sectors.

Acknowledgement

Data collected from Yahoo Finance.

Company Datasets for valuable business insights!

Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.

These datasets are sourced from top industry providers, ensuring you have access to high-quality information:

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We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:

• Company name;
• Size;
• Founding date;
• Location;
• Industry;
• Revenue;
• Employee count;
• Competitors.

You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.

Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.

With Oxylabs Datasets, you can count on:

• Fresh and accurate data collected and parsed by our expert web scraping team.
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The list tracks the number of businesses that NYC Business Acceleration has assisted in opening and how many jobs were created by those businesses. This data is up to date as of the date reflected in the "About" tab of this dataset.

The State Small Business Credit Initiative (SSBCI)Transactions Dataset is a set of files reporting transaction level data for all transactions conducted through the SSBCI program from inception in 2011 through December 31, 2016. This dataset categorizes transactions by program type, according to the five approved SSBCI programs: Capital Access Programs, Collateral Support Programs, Loan Guarantee Programs, Loan Participation Programs, and Venture Capital Programs. The transaction level data was reported to Treasury by Participating States on an annual basis, as required by the Allocation Agreements. Participating States included all 50 states, the District of Columbia, American Samoa, Guam, Northern Mariana Islands, Puerto Rico and the U.S. Virgin Islands. The data fields provided here include the total financing amount, the amount of federal dollars expended, the date of the transaction, and the industry, zip code, and FTEs of the business receiving financing at the point of transaction, among other fields. The data files are available for public use. This dataset provides quantitative information that can be used for analysis of federal expenditure in supporting small business and economic development in identifying how and where federal financing was used.

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.

A census tract is a statistical subdivision of counties that may include just a few neighborhoods in a city or, in rural areas, may include several towns. HUD designates Qualified Census Tracts (QCTs) for purposes of the Low Income Housing Tax Credit (LIHTC) program. To qualify, census tract must either: demonstrate a poverty rate of at least 25 percent, or 50 percent or more of its householders must have incomes below 60 percent of the area median household income.

Global B2B Contact Database for Sales, Marketing, and Business Intelligence :

This dataset provides access to a large B2B contact database containing professional contacts and company profiles from businesses around the world. It is designed for organizations that need reliable business contact information to identify potential customers, build prospect lists, and support sales or marketing outreach.

The database combines professional contact details with company information so users can understand both the individual contact and the organization they work for. With this information, teams can find relevant companies, identify decision-makers, and connect with them more efficiently.

Businesses often rely on structured B2B contact data to support prospecting, outbound sales, and market research. This dataset brings together contact and company information in a structured format that makes it easier to search, filter, and build targeted lists.

The database includes more than 400 million business contact profiles and information on over 50 million companies across multiple industries and geographic regions.

Dataset Overview

• 400M+ B2B contact profiles • 70M+ verified work email addresses • 60M+ direct cellphone numbers • 40M+ company records • 50+ filtering attributes

This business contact database allows organizations to identify professionals working inside companies and build lists of potential prospects.

Verified B2B Contacts

The dataset contains millions of verified B2B contacts from companies of different sizes and industries. Contacts include professionals working in executive, management, and operational roles.

Using this B2B decision maker database, businesses can identify individuals responsible for purchasing decisions, partnerships, technology adoption, and other key business activities.

This helps sales teams focus their efforts on relevant contacts and improves the effectiveness of outreach campaigns.

Contact Data Fields

Each record in the B2B contact list includes attributes that help users identify and reach professionals.

Typical contact fields include:

• First Name • Last Name • Job Title • Job Function • Seniority Level • Work Email Address • Cellphone Number • LinkedIn Profile URL

These attributes help users understand the role of each contact within a company and determine whether they are a suitable prospect.

Company Information

Along with professional contact details, the dataset also includes information about the company where each contact works. This allows the dataset to function as a company contact database as well.

Company data includes:

• Company Name • Industry • Company Size • Revenue Range • Website Domain • Headquarters Location • Country and Region

This information helps businesses evaluate companies, prioritize target accounts, and identify opportunities within their market.

Filtering and Segmentation

The dataset includes more than 50 filtering attributes, allowing users to build targeted prospect lists.

Contacts can be filtered using criteria such as:

• Industry • Job title or department • Company size • Revenue range • Geographic location • Seniority level

These filters help organizations focus on contacts that match their ideal customer profile.

Global Coverage

The B2B company contacts database includes companies and professionals from multiple regions around the world.

Coverage includes:

• North America • Europe • Asia-Pacific • Middle East • Latin America

This global coverage makes the dataset useful for companies that operate internationally or want to expand into new markets.

Data Updates

The B2B leads database is updated regularly to maintain accuracy and keep the information current. Regular updates help ensure that contact details and company information remain relevant and usable.

These refresh cycles also help reduce outdated records and maintain overall dataset quality.

Common Use Cases

Sales Prospecting Sales teams use the B2B contact database to identify potential customers and connect with decision-makers inside target companies.

Lead Generation Marketing teams build targeted contact lists for outreach campaigns and demand generation.

Market Research Researchers and analysts can use the company data to study industries and identify market opportunities.

Partnership and Vendor Discovery Businesses can identify potential partners, suppliers, and collaborators using company and contact information.

Sample Data Available

A sample dataset and schema preview are available upon request so buyers can review the structure and data quality before purchasing.

The US Census Bureau conducts a census of all industries in America every 7 years, in years ending in 7 and 2. So the 2012 census is the newest one. And then it takes years for them to compile all the information, so the final numbers only finished coming out in early 2016.

While this information may appear a little dated, it is by far the best and most accurate source for much information about American business. There are separate tables for every industry, and much detail, particularly on manufacturing industries. I often look at sales per employee of an industry to estimate the sales of a private company, because while those companies will not reveal sales (revenues or receipts), they usually will tell you how many employees they have. There are many other research and competitive uses for this information.

One table here is the overall summary for all industries, and 2012 data is shown on the line next to 2007 data, so it is useful for seeing growth. County Business Pattern data, which is not nearly as comprehensive and detailed, can sometimes show some numbers for more recent years, allowing more growth analysis.

The other table has one sheet/page with just 2012 data on it, a separate sheet for 2007.

Note that these tables show the North American Industrial Classification System (NAICS) Numbers in it --- knowing these is very helpful in researching an industry. Be careful adding up totals, as there is a lot of double-counting, with lines for broad groupings as well as more detailed groupings. Fine divisions of industries have longer NAICS numbers, while the biggest, broadest groups have only two digit numbers, not always shown in these tables. For more on NAICS, see https://www.census.gov/eos/www/naics/