100+ datasets found
  1. d

    Financial Statements API - 50,000+ Companies Covered

    • datarade.ai
    .json, .csv
    Updated Oct 28, 2022
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    Financial Modeling Prep (2022). Financial Statements API - 50,000+ Companies Covered [Dataset]. https://datarade.ai/data-products/financial-statements-api-50-000-companies-covered-financial-modeling-prep
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Oct 28, 2022
    Dataset authored and provided by
    Financial Modeling Prep
    Area covered
    Greece, Colombia, Hungary, Thailand, Switzerland, Spain, United States of America, Germany, Singapore, Norway
    Description

    Our Financial API provides access to a vast collection of historical financial statements for over 50,000+ companies listed on major exchanges. With this powerful tool, you can easily retrieve balance sheets, income statements, and cash flow statements for any company in our extensive database. Stay informed about the financial health of various organizations and make data-driven decisions with confidence. Our API is designed to deliver accurate and up-to-date financial information, enabling you to gain valuable insights and streamline your analysis process. Experience the convenience and reliability of our company financial API today.

  2. d

    Financial Statement Data Sets

    • catalog.data.gov
    Updated Apr 15, 2025
    + more versions
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    Economic and Risk Analysis (2025). Financial Statement Data Sets [Dataset]. https://catalog.data.gov/dataset/financial-statement-data-sets
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    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Economic and Risk Analysis
    Description

    The data sets below provide selected information extracted from exhibits to corporate financial reports filed with the Commission using eXtensible Business Reporting Language (XBRL).

  3. 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
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Dominican Republic, Togo, Antigua and Barbuda, United Kingdom, Guam, Iceland, Georgia, Suriname, Montserrat, Korea (Democratic People's Republic of)
    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...

  4. a

    S.Korea Financial statements datasets

    • aiceltech.com
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    KED Aicel, S.Korea Financial statements datasets [Dataset]. https://www.aiceltech.com/datasets/financial-statements
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    Dataset authored and provided by
    KED Aicel
    License

    https://www.aiceltech.com/termshttps://www.aiceltech.com/terms

    Time period covered
    2016 - 2024
    Area covered
    South Korea
    Description

    Korean Companies’ Financial Data provides important information to analyze a company’s financial status and performance. This data includes financial indicators such as revenue, expenses, assets, and liabilities. Collected from corporate financial reports and stock market data, it helps investors evaluate financial health and discover investment opportunities, essential for valuing Korean companies.

  5. E

    European Financial Filings Database

    • financialreports.eu
    json
    Updated 2024
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    FinancialReports UG (2024). European Financial Filings Database [Dataset]. https://financialreports.eu/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    2024
    Dataset authored and provided by
    FinancialReports UG
    Time period covered
    2022 - 2024
    Area covered
    Europe
    Description

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

  6. s

    SEC 10-K Financial Statement Data

    • stocksdojo.com
    Updated Jun 22, 2025
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    StocksDojo (2025). SEC 10-K Financial Statement Data [Dataset]. https://www.stocksdojo.com/financials?ticker=K
    Explore at:
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    StocksDojo
    License

    https://www.sec.gov/https://www.sec.gov/

    Description

    Best Free Stock Analysis Site. Comprehensive Official financial statements including income, balance sheet, and cash flow from U.S. Official SEC 10-K filings for publicly traded companies.

  7. d

    FirstRate Data - US Fundamental Data (Historical Financial Data for 30 Years...

    • datarade.ai
    .xls
    Updated Dec 20, 2020
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    FirstRate Data (2020). FirstRate Data - US Fundamental Data (Historical Financial Data for 30 Years Quarterly Financials for 5500 Tickers) [Dataset]. https://datarade.ai/data-products/us-fundamental-data-30-years-quarterly-financials-for-5500-tickers-firstrate-data
    Explore at:
    .xlsAvailable download formats
    Dataset updated
    Dec 20, 2020
    Dataset authored and provided by
    FirstRate Data
    Area covered
    United States
    Description
    • Data from Dec 1989 to Dec 2020.
    • Includes Income Statement, Balance Sheet, and Cashflow statement.
    • Adjusted for restatements.
    • Includes valuation metrics such as enterprise valuation and market capitalization.
    • Over 30 ratios such as p/e ratio, EBITDA/sales, gross margin etc..
    • Standardized categories for comparison between companies.
  8. s

    SEC 10-K Financial Statement Data

    • stocksdojo.com
    Updated Jun 24, 2025
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    StocksDojo (2025). SEC 10-K Financial Statement Data [Dataset]. https://www.stocksdojo.com/estimator
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    StocksDojo
    License

    https://www.sec.gov/https://www.sec.gov/

    Description

    Best Free Stock Analysis Site with World Class Trusted Fair Valuation Estimator. Comprehensive Official financial statements including income, balance sheet, and cash flow from U.S. Official SEC 10-K filings for publicly traded companies.

  9. Financial Analytics Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Mar 24, 2017
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    Technavio (2017). Financial Analytics Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/financial-analytics-market-industry-analysis
    Explore at:
    Dataset updated
    Mar 24, 2017
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Mexico, Canada, United States
    Description

    Snapshot img

    Financial Analytics Market Size 2025-2029

    The financial analytics market size is forecast to increase by USD 9.09 billion at a CAGR of 12.7% between 2024 and 2029.

    The market is experiencing significant growth, driven primarily by the increasing demand for advanced risk management tools in today's complex financial landscape. With the exponential rise in data generation across various industries, financial institutions are seeking to leverage analytics to gain valuable insights and make informed decisions. However, this data-driven approach comes with its own challenges. Data privacy and security concerns are becoming increasingly prominent as financial institutions grapple with the responsibility of safeguarding sensitive financial information. Ensuring data security and maintaining regulatory compliance are essential for businesses looking to capitalize on the opportunities presented by financial analytics.
    As the market continues to evolve, companies must navigate these challenges while staying abreast of the latest trends and technologies to remain competitive. Effective implementation of robust data security measures, adherence to regulatory requirements, and continuous innovation will be key to success in the market. Data visualization tools enable effective communication of complex financial data, while financial advisory services offer expert guidance on financial modeling and regulatory compliance.
    

    What will be the Size of the Financial Analytics Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, sensitivity analysis plays a crucial role in assessing the impact of various factors on financial models. Data lakes serve as vast repositories for storing and processing large volumes of financial data, enabling advanced quantitative analysis. Financial regulations mandate strict data compliance regulations, ensuring data privacy and security. Data analytics platforms integrate statistical software, machine learning libraries, and prescriptive analytics to deliver actionable insights. Financial reporting software and business intelligence tools facilitate descriptive analytics, while diagnostic analytics uncovers hidden trends and anomalies. On-premise analytics and cloud-based analytics cater to diverse business needs, with data warehouses and data pipelines ensuring seamless data flow.
    Scenario analysis and stress testing help financial institutions assess risks and make informed decisions. Data engineering and data governance frameworks ensure data accuracy, consistency, and availability. Data architecture, data compliance regulations, and auditing standards maintain transparency and trust in financial reporting. Predictive modeling and financial modeling software provide valuable insights into future financial performance. Data security measures protect sensitive financial data, safeguarding against potential breaches.
    

    How is this Financial Analytics Industry segmented?

    The financial analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Component
    
      Solution
      Services
    
    
    Deployment
    
      On-premises
      Cloud
    
    
    Sector
    
      Large enterprises
      Small and medium-sized enterprises (SMEs)
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Component Insights

    The solution segment is estimated to witness significant growth during the forecast period. Financial analytics solutions play a pivotal role in assessing and managing various financial risks for organizations. These tools help identify potential risks, such as credit risks, market risks, and operational risks, and enable proactive risk mitigation measures. Compliance with stringent regulations, including Basel III, Dodd-Frank, and GDPR, necessitates robust data analytics and reporting capabilities. Data visualization, machine learning, statistical modeling, and predictive analytics are integral components of financial analytics solutions. Machine learning and statistical modeling enable automated risk analysis and prediction, while predictive analytics offers insights into future trends and potential risks.

    Data governance and data compliance help organizations maintain data security and privacy. Data integration and ETL processes facilitate seamless data flow between various systems, ensuring data consistency and accuracy. Time series analysis and ratio analysis offer insights into historical financial trends and performance. Customer segmentation and sensitivity analysis provide val

  10. d

    Historical Financial Data For 230M Companies Worldwide

    • datarade.ai
    Updated Apr 15, 2021
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    BoldData, Historical Financial Data For 230M Companies Worldwide [Dataset]. https://datarade.ai/data-products/custom-made-historical-financial-data-for-230m-companies-worldwide-bolddata
    Explore at:
    .json, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Apr 15, 2021
    Dataset authored and provided by
    BoldData
    Area covered
    Senegal, Palestine, Ecuador, Costa Rica, Afghanistan, Tajikistan, Mozambique, Seychelles, Romania, Pitcairn
    Description

    Custommade Historical Financial Data For 230M Companies Worldwide: - Data from 2017, 2018, 2019, 2020 & 2021 - Includes turnover, employee size. - Custommade based on geographical location, turnover range, employee range and industry type - Standardized database for all countries

    Make data work for you. With unbeatable data, skilled data experts and smart technology, we help businesses to unlock the power of international data.

  11. s

    SEC 10-K Income Statement Data

    • stocksdojo.com
    Updated Jun 27, 2025
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    StocksDojo (2025). SEC 10-K Income Statement Data [Dataset]. https://www.stocksdojo.com/income_statement?ticker=V
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    StocksDojo
    License

    https://www.sec.gov/https://www.sec.gov/

    Description

    Best Free Stock Analysis Site. Company financial income statements from U.S. SEC 10-K filings, sourced and formatted for investor research.

  12. d

    Financial Services Commission_Financial Company Disclosure Information

    • data.go.kr
    json+xml
    Updated Jan 20, 2025
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    (2025). Financial Services Commission_Financial Company Disclosure Information [Dataset]. https://www.data.go.kr/en/data/15059651/openapi.do
    Explore at:
    json+xmlAvailable download formats
    Dataset updated
    Jan 20, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    Information on financial company dividend disclosure, information on financial company decision to increase capital by paid-in capital, information on financial company decision to increase capital by free of charge, information on convocation of general shareholders' meeting of financial companies, information on reporting on granting of stock options by financial companies, information on reporting on appointment/dismissal or early retirement of outside directors of financial companies, information on transfer of assets (other)_putback option disclosure, information on financial company suspension of business, information on financial company application for commencement of rehabilitation procedure, information on occurrence of cause for dissolution of financial company, information on financial company decision to reduce capital, information on commencement of management procedure of creditor banks, etc. of financial company, information on filing of lawsuits, etc. by financial company, information on listing of stocks, etc. on overseas stock market by financial company, information on delisting of stocks, etc. on overseas stock market by financial company, information on decision to issue convertible bonds by financial company, information on decision to issue bonds with new stock subscription rights by financial company, Provides information on financial company exchangeable bond issuance decisions, financial company write-off contingent capital securities issuance decisions, financial company treasury stock acquisition decisions, financial company treasury stock disposal decisions, financial company business transfer decisions, financial company acquisition of other corporations' stocks and investment securities, financial company acquisition of other corporations' stocks and investment securities, financial company acquisition of bonds related to stocks, financial company transfer of bonds related to stocks, financial company merger decisions, financial company division decisions, financial company division merger decisions, and financial company stock exchange/transfer decisions.

  13. Worldscope Fundamentals

    • lseg.com
    Updated May 13, 2025
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    LSEG (2025). Worldscope Fundamentals [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/fundamentals-data/worldscope-fundamentals
    Explore at:
    csv,html,json,pdf,sql,string formatAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Compare financial information of companies from different industries around the globe with Worldscope Fundamentals, providing essential insights and analysis.

  14. f

    Q-Free ASA Financial Reports

    • financialreports.eu
    Updated Aug 30, 2023
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    FinancialReports UG (2023). Q-Free ASA Financial Reports [Dataset]. https://financialreports.eu/companies/q-free-asa/
    Explore at:
    Dataset updated
    Aug 30, 2023
    Dataset authored and provided by
    FinancialReports UG
    License

    https://financialreports.eu/https://financialreports.eu/

    Time period covered
    2022 - Present
    Description

    Comprehensive collection of financial reports and documents for Q-Free ASA (QFR)

  15. Standard and Poors 500 Companies List With Financial Information

    • johnsnowlabs.com
    csv
    Updated Jul 9, 2022
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    John Snow Labs (2022). Standard and Poors 500 Companies List With Financial Information [Dataset]. https://www.johnsnowlabs.com/marketplace/standard-and-poors-500-companies-list-with-financial-information/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 9, 2022
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    The Standard and Poors (S&P) 500 stock market index, maintained by S&P Dow Jones Indices, comprises 505 common stocks issued by 500 large-cap companies and traded on American stock exchanges, and covers about 80 percent of the American equity market by capitalization. The index is weighted by free-float market capitalization, so more valuable companies account for relatively more of the index.

  16. b

    Yahoo Finance Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Feb 21, 2023
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    Bright Data (2023). Yahoo Finance Dataset [Dataset]. https://brightdata.com/products/datasets/yahoo-finance
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Feb 21, 2023
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Yahoo Finance dataset provides information on top traded companies. It contains financial information on each company including stock ticker and risk scores and general company information such as company location and industry. Each record in the dataset is a unique stock, where multiple stocks can be related to the same company. Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

  17. Data from: SEC Filings

    • kaggle.com
    zip
    Updated Jun 5, 2020
    + more versions
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    Google BigQuery (2020). SEC Filings [Dataset]. https://www.kaggle.com/datasets/bigquery/sec-filings
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Jun 5, 2020
    Dataset provided by
    BigQueryhttps://cloud.google.com/bigquery
    Authors
    Google BigQuery
    Description

    In the U.S. public companies, certain insiders and broker-dealers are required to regularly file with the SEC. The SEC makes this data available online for anybody to view and use via their Electronic Data Gathering, Analysis, and Retrieval (EDGAR) database. The SEC updates this data every quarter going back to January, 2009. For more information please see this site.

    To aid analysis a quick summary view of the data has been created that is not available in the original dataset. The quick summary view pulls together signals into a single table that otherwise would have to be joined from multiple tables and enables a more streamlined user experience.

    DISCLAIMER: The Financial Statement and Notes Data Sets contain information derived from structured data filed with the Commission by individual registrants as well as Commission-generated filing identifiers. Because the data sets are derived from information provided by individual registrants, we cannot guarantee the accuracy of the data sets. In addition, it is possible inaccuracies or other errors were introduced into the data sets during the process of extracting the data and compiling the data sets. Finally, the data sets do not reflect all available information, including certain metadata associated with Commission filings. The data sets are intended to assist the public in analyzing data contained in Commission filings; however, they are not a substitute for such filings. Investors should review the full Commission filings before making any investment decision.

  18. Data from 9,549 financial and audit reports of Serbian business entities...

    • search.datacite.org
    • data.mendeley.com
    Updated Jul 22, 2021
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    Nemanja Stanisic (2021). Data from 9,549 financial and audit reports of Serbian business entities from the periods 2016-2018 [Dataset]. http://doi.org/10.17632/x3z4zx8vwr
    Explore at:
    Dataset updated
    Jul 22, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Mendeley
    Authors
    Nemanja Stanisic
    License

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

    Description

    The data from 9,549 complete sets of annual financial statements are combined with the data from the corresponding audit reports, forming an unbalanced panel data set. The client companies included in the sample represent a supermajority of medium and large-sized companies registered in the Republic of Serbia. Information on the name of the auditing firm, the type of auditor, the date of audit, and the type of audit opinion is hand-collected from the audit reports issued by 77 audit firms (the Big 4 plus 73 other auditing firms), which, again, represents a supermajority of all the auditing firms registered in this country. In the total sample of audit opinions (6,343), the following frequencies of the four main types of audit opinions are observed: an adverse opinion (50), a disclaimer of opinion (344), a qualified opinion (1,278), and an unqualified opinion (4,671). Additionally, most common financial indicators are calculated based on the collected financial statements. Feel free to use it for research purposes or to reproduce the results presented in the article. For a detailed description of the variables and their descriptive statistics, please read the article: Empirical Data on Financial and Audit Reports of Serbian Business Entities. Proceedings of the 7th International Scientific Conference - FINIZ 2020, 193–198. https://doi.org/10.15308/finiz-2020-193-198 When referring to the data set in publications, please cite the article. These data are used in a research study and may not be redistributed or used for commercial purposes. If you have any questions, please feel free to contact me at nstanisic@singidunum.ac.rs

  19. 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
    France, Guernsey, Åland Islands, Austria, Estonia, Lithuania, Bulgaria, Macedonia (the former Yugoslav Republic of), Denmark, Monaco
    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...
  20. B

    Financial Performance Indicators for Canadian Business [Excel]

    • borealisdata.ca
    • search.dataone.org
    Updated Sep 29, 2023
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    Statistics Canada (2023). Financial Performance Indicators for Canadian Business [Excel] [Dataset]. http://doi.org/10.5683/SP3/SZHJFY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 29, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/SZHJFYhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/SZHJFY

    Time period covered
    1994 - 2011
    Area covered
    Canada
    Description

    This CD-ROM product is an authoritative reference source of 15 key financial ratios by industry groupings compiled from the North American Industry Classification System (NAICS 2007). It is based on up-to-date, reliable and comprehensive data on Canadian businesses, derived from Statistics Canada databases of financial statements for three reference years. The CD-ROM enables users to compare their enterprise's performance to that of their industry and to address issues such as profitability, efficiency and business risk. Financial Performance Indicators can also be used for inter-industry comparisons. Volume 1 covers large enterprises in both the financial and non-financial sectors, at the national level, with annual operating revenue of $25 million or more. Volume 2 covers medium-sized enterprises in the non-financial sector, at the national level, with annual operating revenue of $5 million to less than $25 million. Volume 3 covers small enterprises in the non-financial sector, at the national, provincial, territorial, Atlantic region and Prairie region levels, with annual operating revenue of $30,000 to less than $5 million. Note: FPICB has been discontinued as of 2/23/2015. Statistics Canada continues to provide information on Canadian businesses through alternative data sources. Information on specific financial ratios will continue to be available through the annual Financial and Taxation Statistics for Enterprises program: CANSIM table 180-0003 ; the Quarterly Survey of Financial Statements: CANSIM tables 187-0001 and 187-0002 ; and the Small Business Profiles, which present financial data for small businesses in Canada, available on Industry Canada's website: Financial Performance Data.

Share
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Click to copy link
Link copied
Close
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Financial Modeling Prep (2022). Financial Statements API - 50,000+ Companies Covered [Dataset]. https://datarade.ai/data-products/financial-statements-api-50-000-companies-covered-financial-modeling-prep

Financial Statements API - 50,000+ Companies Covered

Explore at:
.json, .csvAvailable download formats
Dataset updated
Oct 28, 2022
Dataset authored and provided by
Financial Modeling Prep
Area covered
Greece, Colombia, Hungary, Thailand, Switzerland, Spain, United States of America, Germany, Singapore, Norway
Description

Our Financial API provides access to a vast collection of historical financial statements for over 50,000+ companies listed on major exchanges. With this powerful tool, you can easily retrieve balance sheets, income statements, and cash flow statements for any company in our extensive database. Stay informed about the financial health of various organizations and make data-driven decisions with confidence. Our API is designed to deliver accurate and up-to-date financial information, enabling you to gain valuable insights and streamline your analysis process. Experience the convenience and reliability of our company financial API today.

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