Company Records. Published by Companies Registration Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset provides a structured and machine-readable register of all companies recorded by the Companies Registration Office (CRO) in Ireland. It includes a daily snapshot of company records, covering both currently registered companies and historical records of dissolved or closed entities. The dataset aligns with the European Union’s Open Data Directive (Directive (EU) 2019/1024) and the Implementing Regulation (EU) 2023/138, which designates company and company ownership data as a high-value dataset. Updated daily, it ensures timely access to corporate information and is available for bulk download and API access under the Creative Commons Attribution 4.0 (CC BY 4.0) licence, allowing unrestricted reuse with appropriate attribution. By increasing transparency, accountability, and economic innovation, this dataset supports public sector initiatives, research, and digital services development....

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.

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Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions was 49624.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions reached a record high of 303076.00000 in January of 2005 and a record low of -213632.00000 in January of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Gross value added of financial corporate business (A454RC1A027NBEA) from 1929 to 2024 about value added, finance companies, companies, finance, gross, financial, business, GDP, and USA.

Data Catalog Market Overview

Data catalog companies serve as a vital repository for organizing and managing data assets within organizations, housing metadata like descriptions, ownership, and usage stats to streamline data discovery and management.

It features strong search capabilities, tracks data lineage, and integrates with other tools to ensure transparency and adherence to governance standards.

Benefits include enhanced data utilization, improved governance, operational efficiency, and team collaboration.

Implementation focuses on scalability, user-friendly interfaces, system integration, and robust security measures.

In essence, a Data Catalog is crucial for maximizing data value through efficient access, governance, and collaborative efforts.

According to data provided by Competitive Data, the value added of companies producing/distributing home and office furniture in Italy decreased slightly from *** million euros in 2019 to *** million euros in 2020.

Premium B2B Marketing Database - 18+ Million Company Records

Accelerate your B2B sales and marketing success with our comprehensive business database featuring over 18 million verified company records and 70 million employee profiles. Our 20+ year data expertise delivers superior quality and coverage compared to competitors.

Core Database Statistics

Company Records: 18,243,524 (verified businesses)

Employee Records: 70,420,010 (professional profiles)

Business Email Addresses: 38,731,006 (verified and deliverable)

Phone Numbers: 9,728,410 (direct business lines)

Geographic Coverage: Complete US business landscape

Industry Classification: Full SIC code taxonomy

Advanced Targeting Categories

Geographic Targeting: Target businesses by precise location parameters including nationwide campaigns, state-level focus, Metropolitan Service Areas (MSA), zip code radius, city and county targeting, and carrier route precision for local market penetration.

Business Profile Segmentation: Segment companies by annual revenue (sales volume), employee count (startup to enterprise), year founded (established vs. emerging), business type (small business, corporation, public company), facility ownership status, stock exchange listings (NYSE, NASDAQ, ASE), and franchise operations.

Industry Classification (SIC Codes): Leverage Standard Industrial Classification codes for precision targeting across 2-digit (broad categories), 4-digit (sub-industries), 6-digit (niche markets), and 8-digit (hyper-specific) classifications covering all major industries including Manufacturing, Healthcare, Technology, Financial Services, Professional Services, and more.

Employee & Decision Maker Targeting: Identify key decision makers by job title (C-level, VP, Director, Manager), department focus (IT, Marketing, Finance, Operations), purchasing authority levels, seniority positions, and functional roles across technical, administrative, and strategic positions.

Multi-Channel Campaign Applications

Deploy across all major B2B marketing channels:

Email Marketing: Direct outreach to verified business email addresses

LinkedIn Advertising: Professional network targeting with job title precision

Social Media: Facebook, Instagram, and Twitter/X B2B campaigns

Search Advertising: Google, BING and YouTube business targeting

Direct Mail: Physical address campaigns for high-value prospects

Telemarketing: Direct phone outreach to decision makers

Account-Based Marketing: Multi-touch ABM campaign coordination

Data Quality & Sources

Our business database aggregates from multiple verified sources:

Business registration and licensing records

Professional association memberships and directories

Industry publications and trade organizations

Conference and trade show participation data

Online business profiles and corporate websites

Financial reporting and SEC filing information

Employment databases and HR records

Technical Delivery & Integration

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download portals

Integration Options: CRM systems, marketing automation platforms, ad platforms

Custom Selections: 1,000+ selectable business and employee attributes

Update Frequency: Monthly data refreshes with real-time validation

Minimum Orders: Flexible based on targeting complexity and campaign size

Account-Based Marketing (ABM) Excellence

Specifically designed for sophisticated ABM strategies:

Target Account Identification: Find companies matching ideal customer profiles

Decision Maker Mapping: Multiple contacts within target accounts

Account Prioritization: Focus on high-revenue, high-employee companies

Personalized Outreach: Industry and company-specific messaging

Multi-Touch Coordination: Synchronized campaigns across channels

Unique Value Propositions

20+ Year Data Heritage: Established industry expertise and proven track record

Superior Data Coverage: More extensive and accurate than competitors

Real-Time Validation: Continuous data refreshing and quality assurance

Advanced Segmentation: Combine multiple targeting criteria for precision

Compliance Management: Built-in suppression lists and opt-out handling

Technical Flexibility: API access and custom integration support

Ideal Customer Profiles

Technology Companies: Software, SaaS, hardware, and IT services

Professional Services: Consulting, legal, accounting, and advisory firms

Financial Services: Banks, insurance, investment, and fintech companies

Healthcare Organizations: Medical devices, pharmaceuticals, and healthcare IT

Manufacturing Companies: Industrial equipment, automotive, and consumer goods

Marketing Agencies: Digital agencies serving B2B clients

Sales Organizations: Inside sales, field sales, and business development teams

Performance Optimization Features

Lookalike ...

United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level was 144200.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level reached a record high of 153358.00000 in January of 2023 and a record low of 0.00000 in January of 1946. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level - last updated from the United States Federal Reserve on July of 2025.

According to data provided by Competitive Data, the production value of companies producing/distributing home and office furniture in Italy decreased from *** billion euros in 2019 to *** billion euros in 2020.

Graph and download economic data for Property-Casualty Insurance Companies; Closely Held Corporate Equities; Liability, Market Value Levels (BOGZ1LM513164123Q) from Q4 1945 to Q1 2025 about property-casualty, market value, companies, equity, insurance, liabilities, corporate, and USA.

Analysis of ‘Fortune 1000’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/winston56/fortune-500-data-2021 on 13 November 2021.

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

Context

Every year Fortune, an American Business Magazine, publishes the Fortune 500, which ranks the top 500 corporations by revenue. This dataset includes the entire Fortune 1000, as opposed to just the top 500.

Content

The Fortune 1000 dataset is from the Fortune website, collected by the processes outlined in this notebook. It contains U.S. company data for the year 2021. The dataset is 1000 rows and 18 columns.

Features

• Company - values are the name of the company
• Rank - The 2021 rank established by Fortune (1-1000)
• Rank Change - The change in the rank from 2020 to 2021. There is only a rank change listed if the company is currently in the top 500 and was previously in the top 500.
• Revenue - Revenue of each company in millions. This is the criteria used to rank each company.
• Profit - Profit of each company in millions.
• Num. of Employees - The number of employees each company employs.
• Sector - The sector of the market the company operates in.
• City - The city where the company's headquarters is located.
• State - The state where the company's headquarters is located
• Newcomer - Indicates whether or not the company is new to the top Fortune 500 ("yes" or "no"). No value will be listed for companies outside of the top 500.
• CEO Founder - Indicates whether the CEO of the company is also the founder ("yes" or "no").
• CEO Woman - Indicates whether the CEO of the company is a woman ("yes" or "no").
• Profitable - Indicates whether the company is profitable or not ("yes" or "no").
• Prev. Rank - The 2020 rank of the company, as established by Fortune. There will only be previous rank data for the top 500 companies.
• CEO - The name of the CEO of the company
• Website - The url of the company website
• Ticker - The stock ticker symbol of public companies. Some rows will have empty values because the company is a private corporation.
• Market Cap - The market cap (or value) of the company in millions. Some rows will have empty values because the company is private. Market valuations were determined on January 20, 2021.

Inspiration

This dataset is made to explore the top corporations in the U.S. Answer questions such as: What percentage of companies have women ceo's? How many companies are newcomers? What percentage of companies have ceos who were also founders? What role does profitability play in ranking?

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

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

Corporate Heritage Data Management Market Outlook

The global corporate heritage data management market size is projected to grow from USD 4.5 billion in 2023 to USD 9.8 billion by 2032, exhibiting a robust CAGR of 9.1% during the forecast period. This growth is fueled by the increasing recognition of the strategic value of corporate heritage data in marketing, brand management, and customer engagement strategies. Organizations are acknowledging the necessity of preserving their historical data to enhance their brand identity and differentiate themselves in a competitive market. Furthermore, the rise in digital transformation initiatives across various industries is driving the adoption of corporate heritage data management solutions, as companies strive to leverage their data for long-term business growth.

One of the primary growth factors for this market is the increasing awareness among businesses about the value of their historical data. Companies are beginning to understand that corporate heritage data is not just a record of the past but a valuable asset that can be leveraged for future strategic initiatives. By managing and maintaining historical data effectively, companies can enhance their brand stories, improve customer engagement, and create more personalized marketing strategies. Additionally, the rise of social media and digital marketing has highlighted the importance of having a rich, accessible store of historical content to engage audiences and build brand loyalty. This awareness is prompting organizations to invest in corporate heritage data management solutions to preserve and utilize their historical data effectively.

Another significant growth factor is the rapid digital transformation across industries, which is necessitating better data management practices. As businesses increasingly adopt digital solutions, they generate vast amounts of data, including historical records that need to be efficiently managed and preserved. This digital shift is driving demand for sophisticated corporate heritage data management services that can handle large volumes of data, ensuring its integrity, accessibility, and security. Furthermore, regulatory requirements regarding data retention and management are becoming more stringent across industries, compelling companies to adopt comprehensive data management solutions to comply with these standards. As a result, there is a growing demand for both software and services that can support these needs.

Technological advancements are also playing a crucial role in propelling market growth. Innovations such as cloud computing, artificial intelligence, and machine learning are enabling more effective and efficient data management solutions. Cloud-based platforms, for instance, offer scalable storage solutions that allow businesses to preserve large amounts of heritage data without the need for substantial on-premises infrastructure. Additionally, AI and machine learning technologies are being integrated into data management systems to automate data categorization, enhance search capabilities, and provide intelligent analytics. These technological advancements are making corporate heritage data management more accessible and cost-effective for businesses of all sizes, thus driving market expansion.

Regionally, North America is expected to dominate the corporate heritage data management market, driven by the presence of large enterprises and advanced IT infrastructure. There is a strong emphasis on data-driven strategies and brand management in this region, facilitating the adoption of heritage data solutions. Europe follows closely, with its rich history of corporate heritage and the growing trend of digital transformation across industries. The Asia Pacific region is anticipated to witness the highest growth rate, driven by rapid industrialization, increasing digital initiatives, and the growing recognition of the importance of data management solutions. Latin America and the Middle East & Africa are also expected to contribute to market growth, although at a slower pace, due to increasing investments in digital infrastructure and growing awareness of data management benefits.

Component Analysis

The corporate heritage data management market, when segmented by component, is primarily composed of software and services. The software segment includes various data management solutions that assist organizations in the collection, storage, retrieval, and analysis of their corporate heritage data. These software solutions are designed to handle large volumes of data, ensure data integrity, and provide advanced analytics capabilities that allow organizations to de

Context

The Open Data 500, funded by the John S. and James L. Knight Foundation (http://www.knightfoundation.org/) and conducted by the GovLab, is the first comprehensive study of U.S. companies that use open government data to generate new business and develop new products and services.

Study Goals

• Provide a basis for assessing the economic value of government open data

• Encourage the development of new open data companies

• Foster a dialogue between government and business on how government data can be made more useful

The Govlab's Approach

The Open Data 500 study is conducted by the GovLab at New York University with funding from the John S. and James L. Knight Foundation. The GovLab works to improve people’s lives by changing how we govern, using technology-enabled solutions and a collaborative, networked approach. As part of its mission, the GovLab studies how institutions can publish the data they collect as open data so that businesses, organizations, and citizens can analyze and use this information.

Company Identification

The Open Data 500 team has compiled our list of companies through (1) outreach campaigns, (2) advice from experts and professional organizations, and (3) additional research.

Outreach Campaign

• Mass email to over 3,000 contacts in the GovLab network

• Mass email to over 2,000 contacts OpenDataNow.com

• Blog posts on TheGovLab.org and OpenDataNow.com

• Social media recommendations

• Media coverage of the Open Data 500

• Attending presentations and conferences

Expert Advice

• Recommendations from government and non-governmental organizations

• Guidance and feedback from Open Data 500 advisors

Research

• Companies identified for the book, Open Data Now

• Companies using datasets from Data.gov

• Directory of open data companies developed by Deloitte

• Online Open Data Userbase created by Socrata

• General research from publicly available sources

What The Study Is Not

The Open Data 500 is not a rating or ranking of companies. It covers companies of different sizes and categories, using various kinds of data.

The Open Data 500 is not a competition, but an attempt to give a broad, inclusive view of the field.

The Open Data 500 study also does not provide a random sample for definitive statistical analysis. Since this is the first thorough scan of companies in the field, it is not yet possible to determine the exact landscape of open data companies.

Graph and download economic data for Property-Casualty Insurance Companies; Public Corporate Equities; Liability, Market Value Levels (BOGZ1LM513164113A) from 1945 to 2024 about property-casualty, market value, public, companies, equity, insurance, liabilities, corporate, and USA.

Graph and download economic data for Life Insurance Companies, General Accounts; Corporate and Foreign Bonds; Asset, Market Value Levels (BOGZ1LM543063075Q) from Q4 1945 to Q4 2024 about general accounts, life, market value, foreign, insurance, bonds, assets, and USA.

Peru: Number of companies listed on the stock exchange: The latest value from 2022 is 186 companies, a decline from 189 companies in 2021. In comparison, the world average is 661 companies, based on data from 70 countries. Historically, the average for Peru from 1993 to 2022 is 209 companies. The minimum value, 186 companies, was reached in 2022 while the maximum of 246 companies was recorded in 1998.

Graph and download economic data for Life Insurance Companies, General Accounts; Corporate Equities; Liability, Market Value Levels (BOGZ1LM543164173A) from 1945 to 2024 about general accounts, life, market value, equity, insurance, liabilities, and USA.