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:
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.
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.
Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.
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.
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 North American and global company financials and market data for active and inactive publicly-traded companies.
Success.ai’s Company Financial Data for Banking & Capital Markets Professionals in the Middle East offers a reliable and comprehensive dataset designed to connect businesses with key stakeholders in the financial sector. Covering banking executives, capital markets professionals, and financial advisors, this dataset provides verified contact details, decision-maker profiles, and firmographic insights tailored for the Middle Eastern market.
With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach and strategic initiatives are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers your organization to build meaningful connections in the region’s thriving financial industry.
Why Choose Success.ai’s Company Financial Data?
Verified Contact Data for Financial Professionals
Targeted Insights for the Middle East Financial Sector
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Banking & Capital Markets
Advanced Filters for Precision Targeting
Firmographic and Leadership Insights
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Market Research and Competitive Analysis
Partnership Development and Vendor Evaluation
Recruitment and Talent Solutions
Why Choose Success.ai?
Standardized and As Reported financial data for global public companies as well as thousands of private companies and private companies with public debt.
Detailed and standardized financial data on Japanese public companies.
Success.ai’s Company Financial Data for European Financial Professionals provides a comprehensive dataset tailored for businesses looking to connect with financial leaders, analysts, and decision-makers across Europe. Covering roles such as CFOs, accountants, financial consultants, and investment managers, this dataset offers verified contact details, firmographic insights, and actionable professional histories.
With access to over 170 million verified professional profiles, Success.ai ensures your outreach, market research, and partnership strategies are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is indispensable for navigating the fast-paced European financial landscape.
Why Choose Success.ai’s Company Financial Data?
Verified Contact Data for Precision Targeting
Comprehensive Coverage Across Europe
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Financial Professional Profiles
Advanced Filters for Precision Campaigns
Regional and Industry Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Lead Generation
Partnership Development and Collaboration
Market Research and Competitive Analysis
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Access 170M+ verified company financial data with Success.ai’s B2B Contact Data for European financial professionals. Includes work emails, phone numbers, and continuously updated datasets. Best price guaranteed.
Financial statement filings from banks and credit unions.
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.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Provides summary of allocable income from quarterly financial statements.
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!
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Financial industries are the most important users of derivatives. Thus, derivative accounting should be of economic significance to bank holding companies. Moreover, bank holding companies are required by law to provide detailed information on derivative holdings in a uniform format through regulatory filing (Quarterly FR-Y9C reports filed with the Federal Reserve Bank). The sample used in this study covers bank holding companies during the period from 2001 through 2005. The sample period is restricted up to 2005 because the key variable in this study that captures the hedging derivatives’ impact on income was only included in the FR-Y9C reports during this period. Bank holding companies in my sample must meet the following criteria: (1) quarterly financial statement data are available through COMPUSTAT, (2) stock return data are available through CRSP, and (3) the bank holding company filed FR-Y9C reports with the Federal Reserve Bank during the sample period, (4) This selection procedure yields a final sample of 168 unique bank holding companies
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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!
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
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
These data are derived from returns submitted to the Australian Prudential Regulation Authority (APRA) by banks authorised under the Banking Act 1959. APRA assumed responsibility for the supervision and regulation of banks on 1 July 1998. Data prior to that date were submitted to the RBA.
Prior to March 2002, banks reported quarterly to APRA on the Off-balance Sheet Business Return. From that date until the end of 2007, banks reported quarterly on ARF 112.2: Capital Adequacy – Off-balance Sheet Business. Following the introduction of a new capital framework (Basel II) on 1 January 2008, the data between March 2008 and March 2011 were reported on either ARF 112.2: Capital Adequacy – Off-balance Sheet Business, ARF 112.2A: Standardised Credit Risk – Off-balance Sheet Exposures, or ARF 118.0: Off-balance Sheet Business, depending on whether the bank had been approved by APRA to use a Basel II advanced approach to credit risk. Following the revocation of Australian Prudential Standard APS150 on 30 June 2011, banks using the advanced approach to credit risk have been required to report data with reference to the Basel II framework. From June 2011, data are reported on ARF 112.2A: Standardised Credit Risk – Off-balance Sheet Exposures, ARF 118.0: Off-balance Sheet Business, or ARF 118.1: Other Off-balance Sheet Exposures, depending on whether the bank has been approved by APRA to use a Basel II advanced approach to credit risk.
‘Consolidated group’, for a locally incorporated bank, refers to the global operations of the bank and its subsidiaries, excluding those involved in insurance, funds management/trustee and non-financial business. For a foreign bank authorised to operate in Australia as a branch, the data relate to the operations of the branch only. Figures are as at the last business day of the quarter and refer to the principal amount (face value) of the transaction.
From March 2002, banks are required to report separately activity in the banking and trading books for interest rate contracts, foreign exchange contracts, and other derivative contracts. Banking and trading book figures are added to produce the data reported in the table. Before March 2002, exposures were netted across the banking and trading books (except credit derivatives). This has necessitated a break in the series.
‘Direct credit substitutes’ covers any irrevocable obligations that carry the same credit risk as a direct extension of credit. This includes the issue of guarantees, confirmation of letters of credit, standby letters of credit serving as financial guarantees for loans, securities and any other financial liabilities, and certain bills endorsed under bill endorsement lines. ‘Direct credit substitutes’ does not include credit derivatives, which are shown separately.
‘Trade- and performance-related items’ covers contingent liabilities arising from trade-related obligations secured against an underlying shipment of goods and any irrevocable obligations to make a payment to a third party if a counterparty fails to perform a contractual non-monetary obligation. This includes documentary letters of credit issued, acceptances on trade bills, shipping guarantees issued, issue of performance bonds, bid bonds, warranties, indemnities, standby letters of credit in relation to a non-monetary obligation of a counterparty under a particular transaction, and any other trade- and performance-related items.
‘Commitments and other non-market-related items’ includes lending of securities or posting of securities as collateral, assets sold with recourse, forward asset purchases, partly paid shares and securities, placements of forward deposits, underwriting facilities, standby lines of credit, redraw facilities, undrawn credit card facilities, and all other non-market-related off-balance sheet items.
‘Interest rate contracts – OTC forwards’ covers single currency over-the-counter interest rate forwards including forward rate agreements.
‘Interest rate contracts – OTC swaps’ covers single currency over-the-counter interest rate swaps.
‘Interest rate contracts – Other’ covers other single currency over-the-counter and exchange-traded interest rate contracts including interest rate options written and purchased.
‘Foreign exchange contracts – OTC forwards’ covers over-the-counter foreign exchange forwards including foreign exchange forward contracts involving gold.
‘Foreign exchange contracts – OTC swaps’ covers over-the-counter foreign exchange swaps including cross currency interest rate swaps and foreign exchange swap contracts involving gold.
‘Foreign exchange contracts – Other’ covers other over-the-counter and exchange-traded foreign exchange contracts including other foreign exchange contracts involving gold.
‘Credit derivatives’ covers all credit derivatives contracts, both where protection is purchased and protection is sold. Banks were required to report credit derivatives exposure to APRA from June 2000 following a change to the Off-balance Sheet Business Return. This has necessitated a break in the series.
‘Other off-balance sheet business’ covers equity contracts including written and purchased options positions, derivatives based on gold and precious metals, base metals, energy and other commodities, and all other derivative activity.
Success.ai’s B2B Email Data for US Financial Services offers businesses comprehensive access to verified email addresses and contact details of key decision-makers across the financial services industry in the United States.
Sourced from over 170 million verified professional profiles and enriched with detailed firmographic data, this dataset is ideal for sales teams, marketers, and strategic planners looking to engage with banking executives, wealth managers, insurance specialists, and fintech leaders.
Backed by our Best Price Guarantee, Success.ai ensures that your outreach is guided by accurate, continuously updated, and AI-validated data.
Why Choose Success.ai’s Financial Services Email Data?
Verified B2B Email Data for Precision Outreach
Focus on the US Financial Market
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Email Profiles
Advanced Filters for Tailored Campaigns
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Marketing and Outreach Campaigns
Fintech and Innovation Partnerships
Regulatory Compliance and Risk Management
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
...
The database of the Corporate Balance Sheets (Ustan) comprises annual financial statements of non-financial corporations and is formed in the context of the refinancing business.
In discharging her monetary policy duty the Deutsche Bundesbank grants refinancing loans to domestic credit institutions. But there are collaterals eligible for refinancing at the central bank required as a prerequisite, like book credits to domestic non-financial enterprises. In order to control the intrinsic value of the securities the annual financial statements of the non-financial enterprises have to be submitted to the Bundesbank where they serve as a fundament for credit rating.
The data flows into the Financial Statements Data Pool, which is the database used for regular statistical analyses of German companies' earnings and financing situation. Results are published in the Special Statistical Publication 5 and 6.
This Ustan database comprises the years from 1987 to 2016 and can be used as a panel dataset for research purposes. Besides the balance sheet data, the profit and loss account and the asset history sheet (if any) additional information about the firm are available, like the branch of industry or the legal form.
Detailed current and historical financial data on the global Financial Institutions (FIG), Metals & Mining, Energy, Real Estate and Media sectors.
Comprehensive dataset of 28 companies listed on Nasdaq Iceland, including detailed financial information, market data, and corporate filings. This dataset provides real-time updates on trading metrics, company profiles, financial statements, regulatory filings, and market performance indicators. Updated every 30 minutes, it covers key data points such as market capitalization, trading volume, stock prices, company fundamentals, and regulatory compliance information for all listed securities on Nasdaq Iceland.
All financial transactions made by SLC as part of its functions, including payments to/on behalf of customers and payments to suppliers.
Standardized financial data on over 12 million global private companies.