LSEG's Company Data offers an extensive portfolio of content about companies including estimates, filings and ESG. Browse the catalogue.

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

Company fundamentals data provides the user with a company's current financial health and when combined historically, the financial 'life-story' of the company.

The MSB Registrant Search Web page contains entities that have registered as Money Services Businesses (MSBs) pursuant to the Bank Secrecy Act (BSA) regulations at 31 CFR 1022.380(a)-(f), administered by the Financial Crimes Enforcement Network (FinCEN). The MSB Registrant Search Web page reflects information exactly as provided by the registrant. Posted entries should include: (1) Registrant's legal name, (2) Registrant's "doing business as" name (if applicable), (3) Registrant's address, (4) MSB activities in which the Registrant engages, (5) states in which the Registrant engages in MSB activities, (6) number of branches, (7) date the registration form was signed, and (8) date the registration form was received.

This is a dataset that requires a lot of preprocessing with amazing EDA insights for a company. A dataset consisting of sales and profit data sorted by market segment and country/region.

Tips for pre-processing: 1. Check for column names and find error there itself!! 2. Remove '$' sign and '-' from all columns where they are present 3. Change datatype from objects to int after the above two. 4. Challenge: Try removing " , " (comma) from all numerical numbers. 5. Try plotting sales and profit with respect to timeline

Our comprehensive and advanced database is completed with all the information you need, with up to >1.5 million company financial records at your disposal. This allows you to easily perform company search on company profile and company directory, with 99% coverage in Malaysia.

Our database also contains company profiles on private limited or limited companies globally, including information such as shareholders and financial accounts can be accessed instantly.

Our comprehensive and advanced database is completed with all the information you need, with up to >1million company financial records at your disposal. This allows you to easily perform company search on company profile and company directory, with maximised coverage in Thailand.

Our database also contains company profiles on private limited or limited companies globally, including information such as shareholders and financial accounts can be accessed instantly.

The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.

Browse LSEG's US Company Filings Database, and find a range of filings content and history including annual reports, municipal bonds, and more.

This is a compiled datasets comprising of data from various companies' 10-K annual reports and balance sheets. The data is a longitudinal or panel data, from year 2009-2022(/23) and also consists of a few bankrupt companies to help for investigating factors. The names of the companies are given according to their Stocks. Companies divided into specific categories.

Browse LSEG's Officers & Directors, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

Get detailed American Express Company Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.

Comprehensive database of over 100,000 financial filings from 8,000+ European companies

We provide the financial as reported data for bulk download. The dataset is parsed from 10Q and 10K filings from 2010 to the end of Q1, 2022. We hope financial researchers will find this dataset useful. About us: AlphaResearch makes searching across SEC filings for all symbols super easy and efficient. Using state-of-the-art ML and NLP techniques, AlphaResearch provides keyword highlighting, blacklining, note-taking to make your search experience as smooth as possible. The documents that AlphaResearch supports searching are SEC filings, 10 k, 10q, form 8k, 13f filings, sec form 4.

Update April 2025 ### The BN_RENEW_DT field has been removed and is no longer available in this dataset. ###Update October 2018 - frequency change to Business Names dataset ### From 31 October …Show full description###Update April 2025 ### The BN_RENEW_DT field has been removed and is no longer available in this dataset. ###Update October 2018 - frequency change to Business Names dataset ### From 31 October 2018, the Business Names dataset will be updated weekly every Wednesday. ###Dataset summary### ASIC is Australia’s corporate, markets and financial services regulator. ASIC contributes to Australia’s economic reputation and wellbeing by ensuring that Australia’s financial markets are fair and transparent, supported by confident and informed investors and consumers. Australian business names are required to keep their details up to date on ASIC's Business Name Register. Information contained in the register is made available to the public to search via ASIC's website. Select data from the ASIC's Business Name Register will be uploaded each month to www.data.gov.au. The data made available will be a snapshot of the register at a point in time. Legislation prescribes the type of information ASIC is allowed to disclose to the public. The information included in the downloadable dataset is: Business Name Status Date of Registration Date of Cancellation Renewal Date Former State Number (where applicable) Previous State of Registration Australian Business Number (ABN) Additional information about companies can be found via ASIC's website. Accessing some information may attract a fee. More information about searching ASIC's registers.

We provide the financial as reported dataset parsed directly from SEC form 10-K and 10-Q from 2010 to 2021. We hope this dataset will help researchers bootstrap their ideal.

About us: AlphaResearch is a financial service company located in New York, our flagship product Edgar company search allow investors to locate exact datapoint from millions of SEC filings. You can start searching for form 10-k, from 10q, and form 13f filings now.

The dataset included with this article contains three files describing and defining the sample and variables for VAT impact, and Excel file 1 consists of all raw and filtered data for the variables for the panel data sample. Excel file 2 depicts time-series and cross-sectional data for nonfinancial firms listed on the Saudi market for the second and third quarters of 2019 and the third and fourth quarters of 2020. Excel file 3 presents the raw material of variables used in measuring the company's profitability of the panel data sample

Get detailed Ford Motor Company Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.

Update March 2025 ###\r

\r From 11 March 2025, the dataset will be updated to include 1 new field, Date of Deregistration, (see help file for details). \r \r

Update August 2018 - frequency change to Company dataset ###\r

\r From 7 August 2018, the Company dataset will be updated weekly every Tuesday. As a result, the information might not be accurate at the time you check the Company dataset.\r ASIC-Connect updates information in real time, therefore, please consider accessing information on that platform if you need up to date information.\r \r ***\r \r

Dataset summary###\r

ASIC is Australia’s corporate, markets and financial services regulator. ASIC contributes to Australia’s economic reputation and wellbeing by ensuring that Australia’s financial markets are fair and transparent, supported by confident and informed investors and consumers.\r \r Australian companies are required to keep their details up to date on ASIC's Company Register. Information contained in the register is made available to the public to search via ASIC's website.\r \r Select data from the ASIC's Company Register will be uploaded each week to www.data.gov.au. The data made available will be a snapshot of the register at a point in time. Legislation prescribes the type of information ASIC is allowed to disclose to the public.\r \r The information included in the downloadable dataset is:\r \r * Company Name\r * Australian Company Number (ACN)\r * Type \r * Class\r * Sub Class \r * Status\r * Date of Registration\r * Date of Deregistration (Available from 11 March 2025)\r * Previous State of Registration (where applicable)\r * State Registration Number (where applicable) \r * Modified since last report – flag to indicate if data has been modified since last report\r * Current Name Indicator\r * Australian Business Number (ABN) \r * Current Name\r * Current Name Start Date\r \r Additional information about companies can be found via ASIC's website. Accessing some information may attract a fee.\r \r More information about searching ASIC's registers.\r

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

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