Standardized financial data on over 12 million global private companies.

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...

Standardized and As Reported financial data for global public companies as well as thousands of private companies and private companies with public debt.

The dataset contains the annual report of US public firms filing with the SEC EDGAR system. Each annual report (10K filing) is broken into 20 sections. Each section is split into individual sentences. Sentiment labels are provided on a per filing basis from the market reaction around the filing data. Additional metadata for each filing is included in the dataset.

Standardized North American and global company financials and market data for active and inactive publicly-traded companies.

Dataset containing over 5000 data metrics (including raw data and BQ calculated scores & metrics) for over 4000 public companies (~95% of the Russell 3000). Includes financials (from SEC filings) as well as data that is not reported to the SEC, including monthly headcount, detailed employee benefits data, credit events related to contributions to benefits plans. Also includes BQ scores, industry and macro statistics that provide a comprehensive view of the sector & industry.

BQ's Public Companies dataset is applicable to both quantitative investment managers as well as fundamentals public equity investors, who wish to use alternative (non-financial) data to enhance their investment analysis and investment decisions.

Dataset

This dataset was created by chadchiu

Contents

Detailed and standardized financial data on Japanese public companies.

Content

Provides summary of allocable income from quarterly financial statements.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore World Bank's Financial Data using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under Creative Commons Attribution 3.0 IGO

JANIS consists of individual financial statements of non-financial corporations which are provided from several sources: financial statements received by the Deutsche Bundesbank in the context of the credit assessment and from public sources like the Bundesanzeiger.

Financial statement filings from banks and credit unions.

Dataset

This dataset was created by Metheus_Kim

Contents

Update March 2025 ### From 11 March 2025, the dataset will be updated to include 1 new field, Date of Deregistration, (see help file for details). ###Update August 2018 - frequency change to …Show full description###Update March 2025 ### From 11 March 2025, the dataset will be updated to include 1 new field, Date of Deregistration, (see help file for details). ###Update August 2018 - frequency change to Company dataset ### 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. ASIC-Connect updates information in real time, therefore, please consider accessing information on that platform if you need up to date information. ###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 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. 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. The information included in the downloadable dataset is: Company Name Australian Company Number (ACN) Type Class Sub Class Status Date of Registration Date of Deregistration (Available from 11 March 2025) Previous State of Registration (where applicable) State Registration Number (where applicable) Modified since last report – flag to indicate if data has been modified since last report Current Name Indicator Australian Business Number (ABN) Current Name Current Name Start Date 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.

This dataset contains data on Russian public companies. Financial sector organizations were not included in the sample. It is worth describing separately the data collection process, which was divided into two parts. First of all, qualitative characteristics of corporate governance were searched and systematized. Due to the lack of access to the Bloomberg terminal, it was necessary to collect indicators "manually". Additional difficulties were caused by the fact that there is no regulated corporate governance disclosure form. Thus, companies provided data in different ways. The main sources of information were organizations' annual reports, issuer's quarterly reports, sustainability reports, IFRS financial statements, as well as relevant sections of companies' official websites. At the same time, the listed reports were not always contained on the official websites of the organizations under consideration, therefore the following information resources were used additionally: Interfax, Cbonds and LiveTrader. At the second stage of data collection we systematized financial indicators taken from IFRS statements of the companies. Corporate governance indicators: BSIZE (size of the Board of Directors), BIND (percentage of independent members of the Board of Directors), DUAL1 (combining the roles of CEO and member of the Board of Directors), DUAL2 (combining the roles of CEO and Chairman of the Management Board), YCEO (CEO irremovability - logarithm of the number of years in the position), COMT (presence of internal audit, remuneration and nomination committees), COMTIND (degree of independence of internal committees), AUDIT (dummy variable equal to 1 if audited by a Big4 company), REMUN1 (percentage of remuneration to members of the Board of Directors as a percentage of total personnel expenses), REMUN2 (percentage of remuneration to members of the Management Board as a percentage of total personnel expenses), REMUN3 (percentage of remuneration to key management personnel as a percentage of total personnel expenses). Financial indicators: ROCE (return on capital employed), SIZE (company size), QTOB (Tobin ratio), TANG (tangible fixed assets to total assets), AGE (company age), NDTS (annual depreciation to total assets), INT (interest rate). The sample includes data from 2012 through 2021. It was important to have reliable information for each indicator required for the analysis. Otherwise, the company was excluded from the sample. The final sample included 32 Russian public companies. All indicators were taken in annual terms due to the specifics of corporate governance factors (with a few exceptions, they change no more than once a year). Thus, 320 observations were available for the analysis.

JANIS consists of individual financial statements of non-financial corporations which are provided from several sources: financial statements received by the Deutsche Bundesbank in the context of the credit assessment and from public sources like the Bundesanzeiger.

Content

Provides data from the IBRD Statement of Income for the fiscal years ended June 30, 2013, June 30, 2012 and June 30, 2011. The values are expressed in millions of U.S. Dollars. Where applicable, changes have been made to certain line items on FY 2012 income statement to conform with the current year's presentation, but the comparable prior years' data sets have not been adjusted to reflect the reclassification impact of those changes.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore World Bank's Financial Data using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under a Creative Commons Attribution 3.0 IGO license.

Cover photo by Matt Artz on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under Creative Commons Attribution 3.0 IGO

This dataset gathers financial data from Brazilian public companies listed on B3. The data refer to data that can be collected directly from each firm's "standardized" financial statement or using the R code and databases. All companies are from non-financial sectors. Data are organized by Grupo de Pesquisa em Contabilidade e Regulação de Negócios (COREG). Variables description: Firm_id: numerical identification of the firm, just so as not to scramble the data; Year: is the date of the closing year (december, 31) of the respective year.; B3_sector: Corresponds to the industry sector of firm "i": 1 = Industries, 2 = Cyclical Consumption, 3 = Non-cyclical Consumption, 4 = Electricity sector, 5 = Basic Materials, 6 = Oil, gas and biofuels, 7 = Health, 8 = Information Technology, 9 = Telecommunications, 10 = Public utilities; Assets: Total assets in Year t, for firm I; Current_assets: Current assets in year t, for firm I; Cash: Cash and cash equivalents in year t, for firm I; Account_receivables: Account receivable in year t, for firm I; Inventories: Inventorires in year t, for firm I; Properties: Properties in year t, for firm I; Intangible_assets: Intangible assets in year t, for firm I; Deffered_assets: Deferred assets in year t, for firm I; PPE: Property, Plant and equipment in year t, for firm I; Current_liabilities: Current liabilities in year t, for firm I; STD: Debts in current liabilities; noncurrent_assets: non-current assets in year t, for firm I; Revenue: Revenues in year t, for firm I; Depreciation: Depreciation expenses in year t, for firm I; net_income: Net income in year t, for firm I; CFO: Cash From Operations in year t, for firm I.

Dataset

This dataset was created by Anderson Matias, PMP

Released under CC0: Public Domain

Contents

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 …Show full description###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.

Question 1.1.8a: From 2015 onwards, have senior public officials publicly disclosed their financial holdings in extractive companies?