The data sets provide the text and detailed numeric information in all financial statements and their notes extracted from exhibits to corporate financial reports filed with the Commission using eXtensible Business Reporting Language (XBRL).
Comprehensive database of over 100,000 financial filings from 8,000+ European companies
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Annual reports Assessment Dataset
This dataset will help investors, merchant bankers, credit rating agencies, and the community of equity research analysts explore annual reports in a more automated way, saving them time.
Following Sub Dataset(s) are there :
a) pdf and corresponding OCR text of 100 Indian annual reports These 100 annual reports are for the 100 largest companies listed on the Bombay Stock Exchange. The total number of words in OCRed text is 12.25 million.
b) A Few Examples of Sentences with Corresponding Classes The author defined 16 widely used topics used in the investment community as classes like:
Accounting Standards
Accounting for Revenue Recognition
Corporate Social Responsbility
Credit Ratings
Diversity Equity and Inclusion
Electronic Voting
Environment and Sustainability
Hedging Strategy
Intellectual Property Infringement Risk
Litigation Risk
Order Book
Related Party Transaction
Remuneration
Research and Development
Talent Management
Whistle Blower Policy
These classes should help generate ideas and investment decisions, as well as identify red flags and early warning signs of trouble when everything appears to be proceeding smoothly.
ABOUT DATA ::
"scrips.json" is a json with name of companies "SC_CODE" is BSE Scrip Id "SC_NAME" is Listed Companies Name "NET_TURNOV" is Turnover on the day of consideration
"source_pdf" is folder containing both PDF and OCR Output from Tesseract "raw_pdf.zip" contains raw PDF and it can be used to try another OCR. "ocr.zip" contains json file (annual_report_content.json) containing OCR text for each pdf. "annual_report_content.json" is an array of 100 elements and each element is having two keys "file_name" and "content"
"classif_data_rank_freezed.json" is used for evaluation of results contains "sentence" and corresponding "class"
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Get detailed Ford Motor Company Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.
https://financialreports.eu/https://financialreports.eu/
Comprehensive collection of financial reports and documents for International Paper Company (IPC)
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Khalid Ashik
Released under Apache 2.0
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...
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Graph and download economic data for Quarterly Financial Report: U.S. Corporations: Food and Beverage Stores: All Other Current Assets (QFR215445USNO) from Q4 2000 to Q1 2025 about beverages, finance, retail trade, corporate, food, sales, retail, assets, industry, and USA.
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Get detailed American Express Company Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.
https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
Financial Reporting Software Market size was valued at USD 14.94 Billion in 2024 and is projected to reach USD 37.56 Billion by 2031, growing at a CAGR of 12.81% from 2024 to 2031.
Financial Reporting Software Market Drivers
Regulatory Compliance and Standards: Increasingly complex regulatory requirements and accounting standards necessitate robust financial reporting software. Businesses need tools to ensure compliance with regulations like Sarbanes-Oxley, IFRS, GAAP, and other local financial reporting standards.
Demand for Real-Time Financial Data: Organizations require real-time access to financial data for timely decision-making. Financial reporting software provides real-time data integration, enabling businesses to monitor their financial health and performance continuously.
Automation of Financial Processes: Automation of financial reporting reduces manual errors, saves time, and increases efficiency. Automated reporting tools streamline data collection, processing, and analysis, allowing finance teams to focus on strategic activities.
https://financialreports.eu/https://financialreports.eu/
Comprehensive collection of financial reports and documents for A.S. Company S.A. (ASCO)
https://financialreports.eu/https://financialreports.eu/
Comprehensive collection of financial reports and documents for Rocket Sharing Company (RKT)
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
The dataset supports an existing published research. The data includes the textual analysis variables used. Details of the variables and data collection process is reported in the published article. Abstract below:AbstractIn this study, I examine variations in the textual complexity of annual report narrative disclosures using the Fog Readability Index and Fin-Neg word list Tone Index given year and industry effects. I analyse accounting narrative Readability and Tone based on firm years, associations between the two narrative measures, and industry data. Tests of the relationship between Readability and Tone show that negative narratives have higher Readability scores, supporting the obfuscation hypothesis that bad news tends to be more difficult to read. A year analysis shows that the negative relationship between Readability and Tone increases in significance over time (2006–2011). An industry analysis shows that the observed obfuscation tends to persist in basic materials; consumer services; financial; technology; and utilities industries. This study shows that considering the effect of variations between industry and firm years can inform annual report textual complexity research and associated empirical analyses.
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Information on Over-the-Counter Company Financial Reports (Financial Industry) (GreTai Securities Market)
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Get detailed Boeing Company Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.
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Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Information: Net Sales, Receipts, and Operating Revenues (QFR101INFUSNO) from Q4 2009 to Q1 2025 about operating, receipts, information, revenue, finance, corporate, Net, sales, industry, and USA.
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Graph and download economic data for Quarterly Financial Report: U.S. Corporations: Plastics and Rubber Products: Total Current Liabilities (QFRTCL326USNO) from Q4 2000 to Q1 2025 about rubber, plastics, finance, nondurable goods, liabilities, corporate, goods, manufacturing, industry, and USA.
https://financialreports.eu/https://financialreports.eu/
Comprehensive collection of financial reports and documents for HF Company (ALHF)
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Egg Head is a SQLite data set containing a number of tables, support functions and objections to do advanced Financial Analytics and forecasting
The best Introduction to the dataset is currently: - Egg Head Notebook - SPX EDA
The data sets provide the text and detailed numeric information in all financial statements and their notes extracted from exhibits to corporate financial reports filed with the Commission using eXtensible Business Reporting Language (XBRL).