100+ datasets found
  1. Private Company Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). Private Company Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/private-company-financials-(30)
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    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Standardized financial data on over 12 million global private companies.

  2. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Dominican Republic, Antigua and Barbuda, United Kingdom, Guam, Korea (Democratic People's Republic of), Suriname, Togo, Montserrat, Iceland, Georgia
    Description

    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...

  3. Compustat® Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). Compustat® Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/compustat-financials-(8)
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    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

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

  4. Company Financial Data | Banking & Capital Markets Professionals in the...

    • datarade.ai
    + more versions
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    Success.ai, Company Financial Data | Banking & Capital Markets Professionals in the Middle East | Verified Global Profiles from 700M+ Dataset [Dataset]. https://datarade.ai/data-products/company-financial-data-banking-capital-markets-profession-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    State of, Uzbekistan, Jordan, Georgia, Maldives, Bahrain, Brunei Darussalam, Mongolia, Kyrgyzstan, Korea (Republic of)
    Description

    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?

    1. Verified Contact Data for Financial Professionals

      • Access verified email addresses, direct phone numbers, and LinkedIn profiles of banking executives, capital markets advisors, and financial consultants.
      • AI-driven validation ensures 99% accuracy, enabling confident communication and minimizing data inefficiencies.
    2. Targeted Insights for the Middle East Financial Sector

      • Includes profiles from major Middle Eastern financial hubs such as Dubai, Riyadh, Abu Dhabi, and Doha, covering diverse institutions like banks, investment firms, and regulatory bodies.
      • Gain insights into region-specific financial trends, regulatory frameworks, and market opportunities.
    3. Continuously Updated Datasets

      • Real-time updates reflect changes in leadership, market activities, and organizational structures.
      • Stay ahead of emerging opportunities and align your strategies with evolving market dynamics.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible data usage and compliance with legal standards.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with decision-makers and professionals in banking, investment management, and capital markets across the Middle East.
    • 30M Company Profiles: Access detailed firmographic data, including organization sizes, revenue ranges, and geographic footprints.
    • Leadership Contact Information: Connect directly with CEOs, CFOs, risk managers, and regulatory professionals driving financial strategies.
    • Decision-Maker Insights: Understand key decision-makers’ roles and responsibilities to tailor your outreach effectively.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Banking & Capital Markets

      • Identify and connect with executives, portfolio managers, and analysts shaping investment strategies and financial operations.
      • Target professionals responsible for compliance, risk management, and operational efficiency.
    2. Advanced Filters for Precision Targeting

      • Filter institutions by segment (retail banking, investment banking, private equity), geographic location, revenue size, or workforce composition.
      • Tailor campaigns to align with specific financial needs, such as digital transformation, customer retention, or risk mitigation.
    3. Firmographic and Leadership Insights

      • Access detailed firmographic data, including company hierarchies, financial health indicators, and service specializations.
      • Gain a deeper understanding of organizational structures and market positioning.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Offer financial technology solutions, consulting services, or compliance tools to banking institutions and investment firms.
      • Build relationships with decision-makers responsible for vendor selection and financial strategy implementation.
    2. Market Research and Competitive Analysis

      • Analyze trends in Middle Eastern banking and capital markets to guide product development and market entry strategies.
      • Benchmark against competitors to identify market gaps, emerging niches, and growth opportunities.
    3. Partnership Development and Vendor Evaluation

      • Connect with financial institutions seeking strategic partnerships or evaluating service providers for operational improvements.
      • Foster alliances that drive mutual growth and innovation.
    4. Recruitment and Talent Solutions

      • Engage HR professionals and hiring managers seeking top talent in finance, compliance, or risk management.
      • Provide staffing solutions, training programs, or workforce optimization tools tailored to the financial sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality financial data at competitive prices, ensuring strong ROI for your outreach, marketing, and partners...
  5. S&P Capital IQ Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). S&P Capital IQ Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/s-p-capital-iq-financials-(10)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

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

  6. Toyo Keizai Company Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). Toyo Keizai Company Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/toyo-keizai-company-financials-(174)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Detailed and standardized financial data on Japanese public companies.

  7. Company Financial Data | European Financial Professionals | 170M+...

    • datarade.ai
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    Success.ai, Company Financial Data | European Financial Professionals | 170M+ Professional Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/company-financial-data-european-financial-professionals-1-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Bulgaria, Åland Islands, Austria, Denmark, Monaco, Guernsey, Lithuania, Macedonia (the former Yugoslav Republic of), Estonia, France, Europe
    Description

    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?

    1. Verified Contact Data for Precision Targeting

      • Access verified work emails, phone numbers, and LinkedIn profiles of financial professionals across Europe.
      • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and improving engagement rates.
    2. Comprehensive Coverage Across Europe

      • Includes financial professionals from key markets such as the United Kingdom, Germany, France, Italy, and the Netherlands.
      • Gain insights into regional financial trends, industry dynamics, and regulatory landscapes.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in professional roles, company structures, and market conditions.
      • Stay ahead of industry shifts and capitalize on emerging opportunities.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Access detailed profiles of European financial professionals across industries and sectors.
    • Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
    • Firmographic Data: Understand company sizes, revenue ranges, and geographic footprints to inform your outreach strategy.
    • Leadership Insights: Connect with CFOs, financial controllers, and investment managers driving financial strategies.

    Key Features of the Dataset:

    1. Comprehensive Financial Professional Profiles

      • Identify and connect with key players in finance, including financial analysts, accountants, and consultants.
      • Target professionals responsible for budgeting, investment strategies, regulatory compliance, and financial planning.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (banking, fintech, asset management), geographic location, or job function.
      • Tailor campaigns to align with specific financial needs, such as software solutions, advisory services, or compliance tools.
    3. Regional and Industry Insights

      • Leverage data on European financial trends, regulatory challenges, and market opportunities.
      • Refine your approach to align with industry-specific demands and geographic preferences.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Lead Generation

      • Design targeted campaigns to promote financial software, advisory services, or compliance solutions to European financial professionals.
      • Use verified contact data for multi-channel outreach, including email, phone, and social media.
    2. Partnership Development and Collaboration

      • Build relationships with financial firms, fintech companies, and investment organizations exploring strategic partnerships.
      • Foster collaborations that enhance financial efficiency, innovation, or regulatory compliance.
    3. Market Research and Competitive Analysis

      • Analyze financial trends across Europe to refine product offerings, marketing strategies, and business expansion plans.
      • Benchmark against competitors to identify growth opportunities and emerging demands.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers recruiting for financial roles, from analysts to CFOs.
      • Provide workforce optimization platforms or training solutions tailored to the financial sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality financial data at competitive prices, ensuring strong ROI for your marketing, sales, and partnership initiatives.
    2. Seamless Integration

      • Integrate verified financial data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, streamlining workflows and enhancing productivity.
    3. Data Accuracy with AI Validation

      • Rely on 99% accuracy to guide data-driven decisions, refine targeting, and boost conversion rates in financial ca...
  8. Company Financial Data | European Financial Professionals | 170M+...

    • data.success.ai
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    Success.ai, Company Financial Data | European Financial Professionals | 170M+ Professional Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://data.success.ai/products/company-financial-data-european-financial-professionals-1-success-ai
    Explore at:
    Dataset provided by
    Area covered
    United Kingdom
    Description

    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.

  9. SNL Financial Institutions Regulatory Data Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). SNL Financial Institutions Regulatory Data Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-financial-institutions-regulatory-data-(37)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Financial statement filings from banks and credit unions.

  10. Individual financial statements of non-financial firms 1997-2023 (1)

    • da-ra.de
    Updated Apr 29, 2024
    + more versions
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    Deutsche Bundesbank (2024). Individual financial statements of non-financial firms 1997-2023 (1) [Dataset]. http://doi.org/10.12757/Bbk.JANIS.9723.13.13
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    Dataset updated
    Apr 29, 2024
    Dataset provided by
    Deutsche Bundesbankhttp://www.bundesbank.de/
    da|ra
    Authors
    Deutsche Bundesbank
    Time period covered
    1997 - 2023
    Description

    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.

  11. IBRD Summary of Allocable Income

    • kaggle.com
    zip
    Updated Jan 1, 2021
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    World Bank (2021). IBRD Summary of Allocable Income [Dataset]. https://www.kaggle.com/theworldbank/ibrd-summary-of-allocable-income
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    zip(3287 bytes)Available download formats
    Dataset updated
    Jan 1, 2021
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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

  12. d

    Data for JRFM publication - Dataset - data.govt.nz - discover and use data

    • catalogue.data.govt.nz
    Updated Feb 1, 2001
    + more versions
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    (2001). Data for JRFM publication - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/oai-figshare-com-article-25551216
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    Dataset updated
    Feb 1, 2001
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  13. IBRD Statement Of Income FY2013

    • kaggle.com
    zip
    Updated Apr 9, 2019
    + more versions
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    World Bank (2019). IBRD Statement Of Income FY2013 [Dataset]. https://www.kaggle.com/theworldbank/ibrd-statement-of-income-fy2013
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    zip(3239 bytes)Available download formats
    Dataset updated
    Apr 9, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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

  14. ASIC - Company Dataset

    • demo.dev.magda.io
    • researchdata.edu.au
    • +2more
    csv, pdf, zip
    Updated Mar 24, 2025
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    Australian Securities and Investments Commission (ASIC) (2025). ASIC - Company Dataset [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-7b8656f9-606d-4337-af29-66b89b2eeefb
    Explore at:
    pdf, zip, csvAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Australian Securities & Investments Commissionhttp://asic.gov.au/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    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 …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.

  15. d

    Banks – Consolidated Group off-balance Sheet Business

    • data.gov.au
    • data.wu.ac.at
    xls
    Updated Aug 23, 2015
    + more versions
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    Reserve Bank of Australia (2015). Banks – Consolidated Group off-balance Sheet Business [Dataset]. https://data.gov.au/data/dataset/groups/banks-consolidated-group-off-balance-sheet-business
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    xls(107008)Available download formats
    Dataset updated
    Aug 23, 2015
    Dataset provided by
    Reserve Bank of Australia
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    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.

  16. B2B Email Data | US Financial Services | Verified Profiles & Key Contact...

    • datarade.ai
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    Success.ai, B2B Email Data | US Financial Services | Verified Profiles & Key Contact Details | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-email-data-us-financial-services-verified-profiles-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    United States
    Description

    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?

    1. Verified B2B Email Data for Precision Outreach

      • Access verified work emails of decision-makers in banking, insurance, wealth management, investment firms, and fintech startups.
      • AI-driven validation ensures 99% accuracy, reducing bounce rates and ensuring high deliverability for your campaigns.
    2. Focus on the US Financial Market

      • Includes profiles of professionals across major US financial hubs like New York, Chicago, San Francisco, and Miami, as well as regional banks, credit unions, and fintech disruptors.
      • Gain insights into industry trends, regulatory impacts, and market dynamics specific to the US financial ecosystem.
    3. Continuously Updated Datasets

      • Real-time updates ensure that your data remains relevant, reflecting leadership changes, mergers, acquisitions, and new market entrants.
      • Stay aligned with evolving industry demands and customer needs.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and legal compliance for your campaigns.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with executives, financial advisors, compliance officers, and analysts across the US financial services sector.
    • 50M Work Emails: AI-validated email data ensures precise communication and minimized email bounce rates.
    • Firmographic Insights: Understand company sizes, revenue ranges, service offerings, and geographic presence to refine your targeting strategies.
    • Decision-Maker Contact Details: Connect directly with key influencers and leaders shaping the US financial landscape.

    Key Features of the Dataset:

    1. Decision-Maker Email Profiles

      • Identify and engage with CEOs, CFOs, financial planners, compliance managers, and marketing directors responsible for driving financial strategies and regulatory compliance.
      • Target professionals overseeing technology adoption, customer engagement, and portfolio growth.
    2. Advanced Filters for Tailored Campaigns

      • Filter contacts by industry segment (banking, insurance, investment management), company size, geographic location, or revenue bracket.
      • Tailor outreach efforts to align with specific financial services challenges, regulatory pressures, or customer preferences.
    3. AI-Driven Enrichment

      • Profiles enriched with actionable data provide deeper insights, enabling personalized messaging and improving engagement outcomes with financial services stakeholders.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Offer SaaS solutions, compliance tools, or digital transformation services to financial services providers aiming to modernize operations and enhance customer experiences.
      • Build relationships with decision-makers in charge of vendor selection, procurement, and operational strategies.
    2. Marketing and Outreach Campaigns

      • Target marketing teams and customer experience professionals to promote data-driven marketing tools, CRM platforms, or loyalty programs tailored to financial clients.
      • Leverage verified email data for multi-channel campaigns, driving higher engagement rates and conversions.
    3. Fintech and Innovation Partnerships

      • Engage with fintech executives and banking leaders exploring digital payments, blockchain, AI-driven financial products, or open banking solutions.
      • Foster partnerships that accelerate innovation and enhance competitive positioning.
    4. Regulatory Compliance and Risk Management

      • Connect with compliance officers and risk managers to present regulatory reporting tools, fraud detection systems, or cybersecurity solutions.
      • Address key pain points related to evolving compliance requirements and risk mitigation.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality B2B email data at competitive rates, ensuring maximum ROI for your outreach, marketing, and sales campaigns in the US financial sector.
    2. Seamless Integration

      • Incorporate verified email data into CRM systems or marketing automation platforms via APIs or downloadable formats, streamlining data management and campaign execution.
    3. Data Accuracy with AI Validation
      ...

  17. Unternehmensbilanzen 1987-2016

    • pollux-fid.de
    Updated 2018
    + more versions
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    Deutsche Bundesbank (2018). Unternehmensbilanzen 1987-2016 [Dataset]. http://doi.org/10.12757/Bbk.Ustan.8716.03.03
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    Dataset updated
    2018
    Dataset provided by
    Deutsche Bundesbankhttp://www.bundesbank.de/
    Description

    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.

  18. SNL Sector Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
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    S&P Global (2020). SNL Sector Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-sector-financials-(40)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Detailed current and historical financial data on the global Financial Institutions (FIG), Metals & Mining, Energy, Real Estate and Media sectors.

  19. Nasdaq Iceland Listed Companies

    • financialreports.eu
    Updated Dec 28, 2023
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    Nasdaq Iceland (2023). Nasdaq Iceland Listed Companies [Dataset]. https://financialreports.eu/companies/exchanges/nasdaq-iceland/
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Nasdaqhttp://www.nasdaq.com/
    Authors
    Nasdaq Iceland
    Time period covered
    1985 - Present
    Area covered
    Iceland
    Variables measured
    Trading Hours, Trading Volume, Listed Companies, Market Capitalization
    Description

    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.

  20. Finance Dataset

    • data.wu.ac.at
    • data.europa.eu
    Updated Dec 19, 2013
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    Student Loans Company Limited (2013). Finance Dataset [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/MWY5MGZkMzAtMDM2My00N2IzLTljYWItZGE0NDk3NTNjZmQ1
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    Dataset updated
    Dec 19, 2013
    Dataset provided by
    Student Loans Companyhttps://gov.uk/government/organisations/student-loans-company
    Description

    All financial transactions made by SLC as part of its functions, including payments to/on behalf of customers and payments to suppliers.

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S&P Global (2020). Private Company Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/private-company-financials-(30)
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Private Company Financials Dataset | S&P Global Marketplace

SPGlobal

Explore at:
Dataset updated
Aug 2, 2020
Dataset authored and provided by
S&P Globalhttps://www.spglobal.com/
Description

Standardized financial data on over 12 million global private companies.

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