Company Intelligence Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country LAT / LONG - Used for Geo Location Locations - Additional office locations of the business Phone - Standardized headquarter phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram Type - Headquarters, Branch, Local Only Description - detailed overview of the company business model and pursuit. Industry - Standardized Industries to segment companies by their most notable contributions Sector - 20 industry groupings Specialties - Non industry details shared by the company to better understand what they do SIC Code - 839 industry classifications and their definitions Revenue - Annual revenue from 1M to over 1B Employee - Number of Employees at the company

Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy

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.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Experience unprecedented access to the world's corporate data with our Ultimate Beneficiary Owners Database (UBO). This data product is meticulously curated, providing insightful information on over 200 million companies across the globe.

This highly comprehensive database gives you a clear understanding of corporate structures, highlighting the hierarchy from parent companies to subsidiaries and making it easier than ever to identify Ultimate Beneficiary Owners (UBOs) – individuals or entities that have the power to control or profit significantly from a company.

Key Features:

Unparalleled coverage: Our dataset spans over 200 million companies worldwide, offering an extensive network of corporate entities and their relationships.

Comprehensive Data on UBOs: Identify the individuals or entities that exert significant control or derive substantial benefits from companies.

Detailed Corporate Hierarchy: The dataset elucidates complex corporate structures, providing visibility into parent companies, subsidiaries, and associated entities.

Verified and Updated: Our data is meticulously verified and regularly updated to maintain accuracy and relevance, minimizing the risk of outdated or erroneous information.

Rich Company Profiles: Beyond the hierarchy and UBO data, this dataset includes comprehensive company profiles – encompassing registration details, industry classification, financial data, and more.

Data Uses:

This data can be particularly valuable for applications in:

Compliance and Risk Management: The UBO data helps with Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance.

Market Research: Understand the competitive landscape by gaining insights into corporate structures and market presence.

Investment Decision Making: Leverage comprehensive corporate data to make informed investment decisions.

Business Development: Identify potential partnership opportunities or risks associated with specific business relationships.

Get ahead in your industry with the power of data, providing you the insight needed to make informed decisions and ensure compliance. This Ultimate Beneficiary Owners Database (UBO) is your key to unlocking extensive knowledge of global company hierarchies.

Moat provides patent and product data for public and private companies and combines this data with product, and market data. The data is rolled up to an ultimate parent (and ticker symbol). Global coverage of companies, and all ownership data is fully time-aware.

The number of shares outstanding, shown on a company’s balance sheet under the heading “capital stock” is used to calculate key metrics including market capitalization figures, earnings per share (EPS) and share stakes for regulatory reporting levels. The Share Outstanding service consists of two datasets, Official Shares Outstanding and Daily-Adjusted Shares Outstanding.

Official Shares Outstanding Providing official figures sourced directly from local exchanges or company sources, as soon as they are published. The frequency of official updates varies from market to market. Updates can also range from daily to annually.

Adjusted Share Outstanding When corporate actions occur prior to the release of official updates, the number of shares outstanding can be impacted drastically. Use the adjusted shares outstanding dataset to provide the figures for events including:
Bonus Bonus rights Buyback Capital Reduction Consolidation Conversion Demerger Divestment Entitlement Redemption Rights Sub-division

Once the official figures have been released by the exchange, then receive reverted figures. The Worldwide Shares Outstanding service provides up-to-date figures from over 100 countries worldwide enabling companies to efficiently calculate figures to comply with exchange regulations or portfolio holding levels.

The Multinational Enterprise Study (also called the “Multinational Project” and the “Multinational Enterprise and the Nation State Project”) led by Raymond Vernon from 1965 to 1973 gathered data on the development of more than 35,000 foreign subsidiaries of the world’s largest manufacturing enterprises. The data was collected in two stages. From 1965 through 1969, data was gathered on approximately 10,000 foreign subsidiaries of 187 of the largest U.S.-based manufacturing enterprises tracing subsidiaries from 1900 until January 1, 1968. From 1971 through 1973, data was gathered on more than 15,000 foreign subsidiaries of 226 of the largest manufacturing enterprises based outside the United States tracing subsidiaries from 1900 until January 1, 1971. Per agreement with companies, individual parent company names have been redacted from the study data. Use of this data in the past has been primarily through its published form in Joan P. Curhan, William H. Davidson, and Rajan Suri, Tracing the Multinationals: A Sourcebook on U.S.-based Enterprises (Cambridge, Mass.: Ballinger, 1977), James W. Vaupel and Joan P. Curhan, The Making of Multinational Enterprises: A Sourcebook of Tables Based on a Study of 187 Major U.S. Manufacturing Corporations (Boston: Division of Research, Harvard Business School, 1969), and James W. Vaupel and Joan P. Curhan, The World’s Multinational Enterprises: A Sourcebook of Tables Based on a Study of the Largest U.S. and Non-U.S. Manufacturing Corporations (Boston: Division of Research, Harvard Business School, 1973). The bulk of the data was gathered from public records (official reports to the SEC, annual reports to stockholders, business histories, business periodicals, etc.). This data was supplemented with interviews with most of the parent companies.

Japan JP: Number of Listed Domestic Companies: Total data was reported at 3,598.000 Unit in 2017. This records an increase from the previous number of 3,535.000 Unit for 2016. Japan JP: Number of Listed Domestic Companies: Total data is updated yearly, averaging 1,766.000 Unit from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 3,598.000 Unit in 2017 and a record low of 1,389.000 Unit in 1978. Japan JP: Number of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Hong Kong Number of Regional HQ, Regional Office, & Local Office: China data was reported at 1,591.000 Unit in 2018. This records an increase from the previous number of 1,264.000 Unit for 2017. Hong Kong Number of Regional HQ, Regional Office, & Local Office: China data is updated yearly, averaging 769.500 Unit from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 1,591.000 Unit in 2018 and a record low of 402.000 Unit in 2001. Hong Kong Number of Regional HQ, Regional Office, & Local Office: China data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.O015: Regional Headquarter, Regional Office & Local Office with a Parent Company Located Outside Hong Kong SAR.

Hong Kong Number of Local Office data was reported at 4,799.000 Unit in 2018. This records an increase from the previous number of 4,473.000 Unit for 2017. Hong Kong Number of Local Office data is updated yearly, averaging 2,870.000 Unit from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 4,799.000 Unit in 2018 and a record low of 1,230.000 Unit in 2001. Hong Kong Number of Local Office data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.O015: Regional Headquarter, Regional Office & Local Office with a Parent Company Located Outside Hong Kong SAR. In the case of a joint-ventured local office in Hong Kong, there may be more than one country/territory where its parent companies were located.

Basketview Signal CPG Receipt & POS Consumer Data: A Fusion of Shopper Behavior Details

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Basketview Signal CPG is aggregated CPG-tagged consumer purchase data that delivers the fastest daily data with 3-day lag, beating leading competitors by up to 20 days. Designed to meet the needs of financial services teams, enjoy a deeper level of market measurement of CPG product purchases and customer behavior with 5 years of data history combined with the ability to integrate with other CE datasets for more holistic analysis. Basketview Signal CPG offers CPG-tagged data on the world’s leading brands combined with CE’s proprietary attribution to product brand and parent company, unlocking insights into retail sales of both established and emerging brands by channel, geography, and more.

Consumer Edge’s Basketview Signal CPG with receipt and POS data offers insights into tracked retail channels including: • Mass • Grocery • Drug • Club • Dollar • Independent Convenience & Gas • Specialty Pet

Benefits • Visibility into CPG Sales: Understand online and offline wholesale sales for leading consumer packaged goods brands and companies, plus specialty channels • Understand Category Performance: Analyze performance by category and brand to inform investment theses. • Fine-Tune Competitive Analysis: Explore CPG retail performance compared to the category or top competitors with SKU-level data mapped to brand, company, and ticker. • See How Retail Pricing Drives Volume: Analyze how pricing affects product brand selection among CPG customers, calculate elasticity, and measure inflation of baskets. • Cut by Channel and Geography: See how trends differ across individual retail channels and subindustries as well as all 50 US states. • Daily Delivery and Granularity: Near real-time updates 365 days a year, with the ability to drill down into individual days to see the impact of promotions, holidays, and weather. Easy aggregation into company fiscal periods either from the day level or via CE aggregation. • Easier Comparisons: Data for different package sizes is equivalized into volumes (e.g., OUNCES) for better estimation of true demand.

Use Case: Pet Specialty Forecasting

Problem A public investor wants to refine their tools for company modeling on key investments in the pet specialty industry.

Solution The firm leveraged Consumer Edge Basketview Signal CPG data to: • Gain visibility into CPG sales for pet brands across mass, grocery, drug, club, dollar, convenience, and pet specialty channels – including both offline and e-commerce • Better understand overall performance of pet specialty categories and brands • Explore retail performance for key pet brands compared to the category with SKU-level data aggregated to brand, company, and ticker • See how retail pricing influences pet brand selection

Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

Inquire about a Basketview subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • How changes in distribution and channels are affecting a brand’s overall sales • Understand consumer price elasticity • Analyze emerging trends in inflation

Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

In the most recently reported fiscal year, Google's revenue amounted to 348.16 billion U.S. dollars. Google's revenue is largely made up by advertising revenue, which amounted to 264.59 billion U.S. dollars in 2024. As of October 2024, parent company Alphabet ranked first among worldwide internet companies, with a market capitalization of 2,02 billion U.S. dollars. Google’s revenue Founded in 1998, Google is a multinational internet service corporation headquartered in California, United States. Initially conceptualized as a web search engine based on a PageRank algorithm, Google now offers a multitude of desktop, mobile and online products. Google Search remains the company’s core web-based product along with advertising services, communication and publishing tools, development and statistical tools as well as map-related products. Google is also the producer of the mobile operating system Android, Chrome OS, Google TV as well as desktop and mobile applications such as the internet browser Google Chrome or mobile web applications based on pre-existing Google products. Recently, Google has also been developing selected pieces of hardware which ranges from the Nexus series of mobile devices to smart home devices and driverless cars. Due to its immense scale, Google also offers a crisis response service covering disasters, turmoil and emergencies, as well as an open source missing person finder in times of disaster. Despite the vast scope of Google products, the company still collects the majority of its revenue through online advertising on Google Site and Google network websites. Other revenues are generated via product licensing and most recently, digital content and mobile apps via the Google Play Store, a distribution platform for digital content. As of September 2020, some of the highest-grossing Android apps worldwide included mobile games such as Candy Crush Saga, Pokemon Go, and Coin Master.

This dataset is about companies. It has 1 row and is filtered where the company is Global Ports Holding. It features 3 columns: employees, and profits.

In 2024, tech companies ranked as the most valuable brands in the world, covering the five top spots in the source’s ranking. Apple led the list with a brand value of nearly 489 billion U.S. dollars, followed by Microsoft, Amazon, and Google – each with brand values of over 290 billion dollars. Samsung closed the top five, at over 100 billion dollars in brand value. Big techs are also huge in terms of market value The source determined brand value by combining financial information, the role the brand plays in determining consumer choice (independent of other factors such as price and convenience), and a qualitative assessment of the brand’s overall strength. Considering only financial data, Apple, Amazon, Alphabet (Google’s parent company) and Microsoft would be still on the top, as they have some of the highest global market capitalizations. However, when considering only qualitative factors regarding brand strength, the list would look very different, with Chinese app WeChat being the strongest brand worldwide in 2024. Brand value vs. profitability Brand value does not always translate into profitability. While Apple also happens to be the second most profitable company in the world, other companies with strong brands such as Google and Amazon rank lower in terms of net income. This phenomenon does not only apply to tech companies – Coca-Cola did not feature on the list of the most profitable companies worldwide. This is likely due to their franchised distribution structure, whereby manufacturing operations are handled by separate companies, each of which operates independently with an exclusive license to manufacture Coca-Cola beverages in their territory.

Veridion’s Corporate Linkage data product offers a comprehensive, dynamic, and scalable view of inter-company relationships across the globe. It goes beyond traditional registry data by leveraging a blend of legal records and digital footprint intelligence to map corporate structures, operational affiliations, and brand ecosystems. The result is a robust and nuanced corporate family tree that reflects both legal ownership and real-world business activity.

This data product enables organizations to understand who owns whom, how entities are connected, and what operational or financial relationships exist between them. Veridion’s proprietary models and heuristics help fill the gaps left by traditional data vendors, providing linkage across borders, industries, and data silos. Veridion combines two foundational sources of entity data:

1. Legal View Linkage
2. Derived from government and state registries
3. Based on filings, corporate identifiers, registration hierarchies
4. Connects entities across jurisdictions using legal documentation

5. Captures official parent-subsidiary relationships

6. Digital View Linkage

7. Derived from online sources such as: --- Corporate websites --- Press releases and M&A news --- Social media --- Product and brand domains

8. Uses machine learning models to infer relationships not visible in registry data (e.g., franchises, digital brands, shell companies)

9. Enables detection of affiliate groups, franchise networks, and joint ventures

By merging these two views, Veridion creates a hybrid model that recognizes both formal and informal relationships—tracking operational realities that are often overlooked in purely legal datasets.

Key Components of Veridion Corporate Linkage: - Ultimate Parent: Identifies the top-most entity in the ownership chain. - Direct Parent/Subsidiary: Documents immediate ownership relationships. - Affiliate Groups: Includes brands, franchises, JVs, and operational relationships beyond legal ownership. - Digital Entity–Legal Entity Mapping: Resolves differences between an operational business and its legal counterpart. - Cross-Border Linkages: Connects global corporate structures that span multiple jurisdictions. - Ownership Classification: Identifies if an entity is PE-backed, state-owned, or family-owned. - Confidence Scores: Indicates the strength and reliability of inferred connections. - Source Traceability: Shows the provenance of the relationship (e.g., website, registry, press article).

Weekly updates from both registry and online sources to maintain real-time relevance.

Key Use Cases by Industry: - Financial Services: KYC, AML & Credit Risk --- Corporate Beneficiary Mapping: Identify UBOs (Ultimate Beneficial Owners) in complex entity structures for regulatory compliance. --- Exposure Analysis: Aggregate credit risk across all subsidiaries of a borrower group. --- Sanctions Screening: Surface hidden affiliations with sanctioned or high-risk entities.

• Procurement & Supply Chain --- Supplier Consolidation: Roll up entities to their corporate parents for unified supplier management and spend analysis. --- Third-Party Risk Management: Detect indirect exposure to high-risk or sanctioned groups. --- Sourcing Diversification: Uncover affiliate suppliers under the same ownership, aiding supply chain resilience planning.

• Insurance --- Group Risk Aggregation: Evaluate exposure at the group level for policy underwriting. --- Business Classification Correction: Link smaller operations to parent companies with more accurate or complete industry codes. --- Portfolio Cleansing: Detect duplicate or fragmented records of the same business group.

• Market Intelligence & Strategy --- Competitive Mapping: Understand the full ecosystem of a rival firm, including its brands, subsidiaries, and acquisitions. --- M&A Target Analysis: Map the full breadth of an acquisition target’s footprint, including hidden JVs or inactive brands. --- Expansion Intelligence: Spot affiliated companies operating in new or adjacent markets.

• ESG & Sustainability --- Group-Level Emissions Tracking: Aggregate Scope 1–3 data across subsidiaries for a holistic ESG profile. --- Regulatory Compliance: Meet obligations under CSRD, CS3D, and other global ESG directives that require parent-subsidiary disclosure. --- Greenwashing Detection: Assess if a “green” brand is tied to a parent company with negative ESG signals.

Practical Examples: A global bank is evaluating a loan for a logistics firm. Using Veridion’s linkage data, they discover the borrower is a subsidiary of a conglomerate flagged for environmental violations in another jurisdiction.

A multinational insurer uses the data to identify all subsidiaries of a newly acquired firm. They adjust underwriting models to reflect the true scope of the risk and eliminate misclassified entities.

A procurement director relies on Veridion’s linkage engine to consolidate s...

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Germany DE: Number of Listed Domestic Companies: Total data was reported at 429.000 Unit in 2022. This records a decrease from the previous number of 443.000 Unit for 2021. Germany DE: Number of Listed Domestic Companies: Total data is updated yearly, averaging 602.000 Unit from Dec 1975 (Median) to 2022, with 48 observations. The data reached an all-time high of 761.000 Unit in 2007 and a record low of 408.000 Unit in 1989. Germany DE: Number of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

At CompanyData.com (powered by BoldData), we provide verified and up-to-date company information sourced directly from official trade registers. For China, we offer access to over 90,221,863 registered companies — one of the world’s largest and most complex markets.

Our China dataset includes rich firmographic details such as company name, registration number, legal form, industry classification, company hierarchy (parent/subsidiaries), size indicators (revenue, employees), contact information (emails, mobile numbers, phone, address), and key decision-makers when available. All data is verified for accuracy and constantly updated to reflect market changes.

Whether you're targeting Chinese enterprises for B2B sales, enriching your CRM with real-time data, or conducting KYC checks for compliance, our China company data empowers informed decisions and precision targeting. It's also ideal for AI training datasets and business intelligence applications.

Choose from flexible delivery options tailored to your workflow: download ready-to-use files in Excel or CSV, integrate directly via our powerful API, or use our enrichment services to enhance your existing records. We also offer custom-built lists based on your specific target criteria.

With coverage of over 90,221,863 verified companies worldwide, CompanyData.com helps businesses scale globally with confidence. Trust our data to drive your success in China and beyond.