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).

This dataset provides a structured and machine-readable collection of financial statements filed with the Companies Registration Office (CRO) in Ireland. It currently includes financial statements for the year 2022, with additional years to be added as they become available. The dataset aligns with the European Union’s Open Data Directive (Directive (EU) 2019/1024) and the Implementing Regulation (EU) 2023/138, which designates company and company ownership data as a high-value dataset. It is available for bulk download and API access under the Creative Commons Attribution 4.0 (CC BY 4.0) licence, allowing unrestricted reuse with appropriate attribution. By increasing transparency and enabling data-driven insights, this dataset supports public sector initiatives, financial analysis, and digital services development. The API endpoints can be accessed using these links - Query - https://opendata.cro.ie/api/3/action/datastore_search Query (via SQL) - https://opendata.cro.ie/api/3/action/datastore_search_sql

These annual reports contain the financial statements for TARP, the Government Accountability Office's (GAO) audit opinion on those financial statements, a separate opinion on OFS' internal controls over financial reporting, and results of GAO's tests of OFS' compliance with selected laws and regulations. The AFR is produced annually for the prior fiscal year and released during the last quarter of the calendar year.

The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.

The Australian Government general government sector Monthly Financial Statements are officially available from July to May for each month at www.finance.gov.au.

This dataset provides an historical series of a collection of published Australian Government general government sector monthly financial statements from 2005-06, including the:

• Aggregates tables

• Operating Statement

• Balance Sheet

• Cash Flow Statement

• Taxation tables

• Function tables

Monthly Financial Statements are not published for the month of June. These figures can be sourced from the Final Budget Outcome (www.budget.gov.au) or the Consolidated Financial Statements (www.finance.gov.au).

The Historical Monthly Financial Statements series is provided to assist those who wish to analyse, visualise and programmatically access this data.

The Australian Government Monthly Financial Statements are prepared on a basis consistent with the Budget as required under section 47 of the Public Governance, Performance and Accountability Act 2013 (formerly section 54 of the Financial Management and Accountability Act 1997).

Since 2008-09 the statements have been prepared in accordance with Australian Accounting Standard AASB 1049 – Whole of Government and General Government Sector Financial Reporting, which requires accounting treatment based on the Australian Bureau of Statistics’ (ABS) Government Finance Statistics (GFS) except where Australian Accounting Standards (AAS) provide a better conceptual treatment for specific items. Departures are limited to complying with either ABS GFS or AAS. The change in 2008-09 represented a significant change in the format and content of the monthly financial statements.

The Monthly Financial Statements estimates dataset is based solely upon the published monthly profiles. Where no year-to-date profile was published the year-to-date actual figure has been used in its place.

Please note that this dataset represents published information and will not be recast. Figures may not be directly comparable over time due to changes of classification, accounting standards or budget treatments.

This data is released by the Department of Finance.

City of Milwaukee Annual Comprehensive Financial Reports

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.

Dataset Financial Report of 437 Company in Indonesia

Francis Financial is a reputable financial services company that provides a range of products and services to its clients. The company's data holdings are vast and varied, encompassing financial market data, economic trends, and industry insights. With a strong focus on serving its clients' needs, Francis Financial's data repository is a treasure trove of valuable information for anyone looking to gain a deeper understanding of the financial world.

From company reports and financial statements to market analysis and industry news, Francis Financial's data collection is a comprehensive archive of important financial information. By leveraging this data, users can gain valuable insights into market trends, spot emerging patterns, and make informed decisions. With its extensive data holdings and commitment to providing high-quality information, Francis Financial is an important player in the financial data landscape.

The Consolidated Financial Statements (CFS) since 1995-96 are available on the Department of Finance website at: \r http://www.finance.gov.au/publications/commonwealth-consolidated-financial-statements.\r \r The CFS for the Australian Government present the whole of government and general government sector (GGS) financial reports and are prepared in accordance with AASB 1049 Whole of Government and General Government Sector Financial Reporting. They are required by section 48 of the Public Governance, Performance and Accountability Act 2013 (formerly section 54 of the Financial Management and Accountability Act 1997).\r \r The CFS include the consolidated results for all Australian Government controlled entities as well as disaggregated information on the sectors of GGS, public non financial corporations and public financial corporations. \r \r This dataset provides an historical series of a collection of published CFS for the whole of government and GGS from 2008-09, including the: \r \r • Income Statement\r \r • Balance Sheet \r \r • Cash Flow Statement\r \r The Historical CFS series is provided to assist those who wish to access and analyse this data. \r \r Please note that this dataset represents published information and will not be recast. Figures may not be directly comparable over time due to changes of classification, accounting standards or budget treatments. \r \r This data is released by the Department of Finance.\r

Dataset

This dataset was created by Khalid Ashik

Released under Apache 2.0

Contents

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Information: Interest Expense (QFR105INFUSNO) from Q4 2009 to Q1 2025 about information, finance, expenditures, corporate, interest, industry, and USA.

Get detailed Automatic Data Processing Financial Statements 2021-2025. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.

FINGAP07 NUMBER OF FINANCIAL STATEMENTS AND NOTES TO ACCOUNTS PRODUCED

Financial statements (financial statements) Financial report - 2022 edition

POLA Finance Annual Financial Report (CAFR) FY12 - FY13 Published historical data.

Various financial reports prepared for the City of Detroit by the Office of the Chief Financial Officer (OCFO), including its Comprehensive Annual Financial Report (CAFR), Single Audit, Four-Year Financial Plan (annual budget), and Monthly Financial Reports. All reports are in PDF format.For more information see https://detroitmi.gov/departments/office-chief-financial-officer/financial-reports or https://detroitmi.gov/departments/office-chief-financial-officer/history-ocfo

United States US: Households: Assets: Financial data was reported at 75,244.145 USD bn in Dec 2016. This records an increase from the previous number of 73,657.308 USD bn for Sep 2016. United States US: Households: Assets: Financial data is updated quarterly, averaging 52,881.308 USD bn from Mar 2005 (Median) to Dec 2016, with 48 observations. The data reached an all-time high of 75,244.145 USD bn in Dec 2016 and a record low of 41,990.070 USD bn in Mar 2005. United States US: Households: Assets: Financial data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.FSI: Sectoral Financial Statement: Balance Sheet: Quarterly.

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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.
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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

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Mining: Total Assets (QFR223MINUSNO) from Q4 2000 to Q1 2025 about mining, finance, corporate, assets, industry, and USA.