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).

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 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.

The following data sets provide information extracted from EX-101 attachments submitted to the Commission in a flattened data format to assist users in more easily consuming the data for analysis. The data is sourced from selected information found in the XBRL tagged financial statements submitted by filers to the Commission. These data sets currently include quarterly and annual numeric data appearing in the primary financial statements submitted by filers. C ertain additional fields (e.g. Standard Industrial Classification (SIC )) used in the Commission’s EDGAR system are also included to help in supporting the use of the data. The information has been taken directly from submissions created by each registrant, and the data is “as filed” by the registrant. The information will be updated quarterly. Data contained in documents filed after 5:30pm EST on the last business day of the quarter will be included in the next quarterly posting. DISC LAIMER: The Financial Statement 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.

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

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

FINGAP07 NUMBER OF FINANCIAL STATEMENTS AND NOTES TO ACCOUNTS PRODUCED

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.

Dataset

This dataset was created by Khalid Ashik

Released under Apache 2.0

Contents

The Water Quality Control Policy for Recycled Water (Recycled Water Policy) requires wastewater and recycled water dischargers (including dischargers that do not produce any recycled water) to annually report monthly volumes of influent, wastewater produced, and effluent, including treatment level and discharge type. As applicable, dischargers are additionally required to annually report recycled water use by volume and category of reuse. Data is self reported and submitted by dischargers through a reporting module in GeoTracker and collected on an annual basis.

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.

Get detailed Automatic Data Processing Financial Statements 2020-2024. Find the income statements, balance sheet, cashflow, profitability, and other key ratios.

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.

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: Other Financial Corporation: Capital and Reserves data was reported at 26,780.290 USD bn in 2016. This records an increase from the previous number of 25,193.951 USD bn for 2015. United States US: Other Financial Corporation: Capital and Reserves data is updated yearly, averaging 18,887.476 USD bn from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 26,780.290 USD bn in 2016 and a record low of 13,473.971 USD bn in 2005. United States US: Other Financial Corporation: Capital and Reserves 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: Annual.

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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

United States US: Households data was reported at 107,909.480 USD bn in Dec 2016. This records an increase from the previous number of 105,716.681 USD bn for Sep 2016. United States US: Households data is updated quarterly, averaging 79,607.027 USD bn from Mar 2005 (Median) to Dec 2016, with 48 observations. The data reached an all-time high of 107,909.480 USD bn in Dec 2016 and a record low of 68,087.373 USD bn in Mar 2005. United States US: Households 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.

A list of contractors used by DHS (as per the financial statements).