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 contains important financial information and accounting ratios of the top 200 US Companies. Source of data in Yfiannce

Introduction

This dataset contains 604 public company financial statement annually in IDX (Bursa Efek Indonesia), largest number that I can see in kaggle :D. Company that's not included in this dataset either do not report their financial statement or contains some irrelevant publishing date.

Usability

• EDA
• Classifier Stock
• Fundamental Analysis
• Financial Statement Analysis

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Appendix

Type:

Type	Description	Translate (in Indonesia)
BS	Balance Sheet/Statement of FInancial Position	Laporan Posisi Neraca / Laporan Posisi Keuangan
IS	(Consolidated) Income Statement	Laporan Laba/Rugi (Konsolidasian)
CF	Statement of Cash Flow	Laporan Arus Kas

Account:

Account	Type	Translate (in Indonesia)
Accounts Payable	BS	Utang Usaha
Accounts Receivable	BS	Piutang Usaha
Accumulated Depreciation	BS	Akumulasi Penyusutan
Additional Paid In Capital (PIC) / Share Premium	BS	Saham premium
Allowance For Doubtful Accounts Receivable (AFDA)	BS	Cadangan Piutang Usaha
Buildings And Improvements	BS	Bangunan dan Pengembangan
Capital Stock	BS	Saham
Cash And Cash Equivalents	BS	Kas dan Setara Kas
Cash Cash Equivalents And Short Term Investments	BS	Kas, Setara Kas, dan Investasi Jangka Pendek
Cash Equivalents	BS	Setara Kas
Cash Financial	BS	Kas yang berhubungan dengan aktiviatas keuangan
Common Stock	BS	Saham Biasa
Common Stock Equity	BS	Ekuitas Saham Biasa
Construction In Progress	BS	Konstruksi yang Sedang Berlangsung
Current Assets	BS	Aset Lancar
Current Debt	BS	Utang Lancar
Current Debt And Capital Lease Obligation	BS	Utang Lancar dan Kewajiban Sewa Kapital
Current Liabilities	BS	Liabilitas Lancar
Finished Goods	BS	Barang Jadi
Goodwill	BS	Nilai Tambah (Goodwill)
Goodwill And Other Intangible Assets	BS	Nilai Tambah (Goodwill) dan Aset Tidak Berwujud Lainnya
Gross Accounts Receivable	BS	Piutang Usaha Bruto
Gross PPE	BS	Aktiva Tetap Bruto (Properti, Pabrik, dan Peralatan)
Inventory	BS	Persediaan
Invested Capital	BS	Kapital yang Diinvestasikan
Investmentsin Joint Venturesat Cost	BS	Investasi dalam Usaha Patungan dengan Harga Perolehan
Land And Improvements	BS	Tanah dan Pengembangan
Long Term Debt	BS	Utang Jangka Panjang
Long Term Debt And Capital Lease Obligation	BS	Utang Jangka Panjang dan Kewajiban Sewa Kapital
Long Term Equity Investment	BS	Investasi Ekuitas Jangka Panjang
Machinery Furniture Equipment	BS	Mesin, Perabotan dan Perlengkapan
Minority Interest	BS	Kepentingan Minoritas
Net Debt	BS	Utang Bersih
Net PPE	BS	Aktiva Tetap Bersih (Properti, Pabrik, dan Peralatan)
Net Tangible Assets	BS	Aset Berwujud Bersih
Non Current Deferred Taxes Assets	BS	Aset Pajak Tangguhan Non Lancar
Non Current Deferred Taxes Liabilities	BS	Liabilitas Pajak Tangguhan Non Lancar
Non Current Pension And Other Postretirement Benefit Plans	BS	Rencana Pensiun Non Lancar dan Manfaat Pasca Pensiun Lainnya
Ordinary Shares Number	BS	Jumlah Saham Biasa
Other Current Liabilities	BS	Liabilitas Lancar Lainnya
Other Equity Interest	BS	Kepentingan Ekuitas Lainnya
Other Inventories	BS	Persediaan Lainnya
Other Non Current Assets	BS	Aset Non Lancar Lainnya
Other Non Current Liabilities	BS	Liabilitas Non Lancar Lainnya
Other Payable	BS	Hutang Lainnya
Other Properties	BS	Properti Lainnya
Other Receivables	BS	Piutang Lainnya
Payables	BS	Utang
Pensionand Other Post Retirement Benefit Plans Current	BS	Rencana Pensiun dan Manfaat Pasca Pensiun Lainnya Saat Ini
Prepaid Assets	BS	Aset Dibayar Dimuka
Properties	BS	Properti
Raw Materials	BS	Bahan Baku
Retained Earnings	BS	Laba Ditahan
Share Issued	BS	Saham yang Diterbitkan
Stockholders Equity	BS	Ekuitas Pemegang Saham
Tangible Book Value	BS	Nilai Buku Berwujud
Total Assets	BS	Total Aset
Total Capitalization	BS	Total Kapitalisasi
Total Debt	BS	Total Utang
Total Equity Gross Minority Interest	BS	Total Ekuitas Bruto dengan Kepentingan Minoritas
Total Liabilities Net Minority Interest	BS	Total Liabilitas Bersih dengan Kepentingan Minoritas
Total Non Current Assets	BS	Total Aset Non Lancar
Total Non Current Liabilities Net Minority Interest	BS	Total Liabilitas Non Lancar Bersih dengan Kepentingan Minoritas
Total Tax Payable	BS	Total Utang Pajak
Treasury Shares Number	BS	Jumlah Saham Treasuri
Work In Process	BS	Pekerjaan dalam Proses
Working Capital	BS	Modal Kerja / Kapital Jangka Pendek
Beginning Cash Position	CF	Posisi Kas Awal
Capital Expenditure	CF	Pengeluaran - Kapital
Capital Expenditure Reported	CF	Pengeluaran - Kapital yang Dilaporkan
Cash Dividends Paid	CF	Dividen Tunai yang Dibayarkan
Cash Flowsfromusedin Operating Activities Direct	CF	Arus Kas yang Digunakan dalam Aktivitas Operasional Langsung
Changes In Cash...

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

This dataset contains Income Statement data from IDA?s published financial statements It was compiled from data in our systems as well as by extracting the data from the published Financial Statements documents. The dataset goes as far back as the foundation of the association (1961). This data has been verified and validated for publication, but does not, in any capacity, replace the official published Financial Statements. Please note that this dataset includes certain rows that are calculated totals, summing up values from related individual records. These are included for completeness and ease of analysis. An archive for IDA?s annual Financial Statements is available at www.worldbank.org/financialresults

Exploring this economic and financial data by studying their behavior patterns could affect how we allocate our wealth wisely.

We analyzed all the samples using a stereomicroscope, Olympus C011 trinocular microscope, coupled with a CCD camera. All the samples were measured and photographed by the Infinity Capture software.The drawn was improved with a drawing table, Parblo A610 – Graphhic tablet using the program ImageJ (Public Dominic). The geographical location of the Araripe Basin was produced using the software QGIS Geographic Information System (version 3.12 – QGIS.org – Public Dominic) considering the coordinate system Datum – SIRGAS 200 from Instituto Brasileiro de Geografia e Estatística (IBGE, Brazil) and Companhia de Pesquisa de Recursos Minerais (CPRM, Brazil). The stratigraphy of the Santana group was drawn with program ImageJ (Public Dominic) to according with stratigraphy on Neumann & Cabreira, 1999 and Valença et al., 2003.

Supplementary materials and data for Microbial fuel cell

The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the IDA Statement of Credits and Grants including the latest available snapshot. The World Bank complies with all sanctions applicable to World Bank transactions.

Note: IDs starting with IDAB and IDAG are "Guarantees", IDs starting with IDAD, IDAH and IDAE are "Grants" and the rest are "Credits". The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries / economies to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the IDA Statement of Credits and Grants including the latest available snapshot. The World Bank complies with all sanctions applicable to World Bank transactions.

Declaration of post-harvest data for alstroemeria

This data table provides the detailed data quality assessment scores for the Long Term Development Statement dataset. The quality assessment was carried out on 31st March. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality; to demonstrate our progress we conduct annual assessments of our data quality in line with the dataset refresh rate. To learn more about our approach to how we assess data quality, visit Data Quality - SP Energy Networks.We welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available.DisclaimerThe data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at opendata@spenergynetworks.co.uk and a member of the team will be in contact.

The data contains client loan data and whether there loan got approved or not. The main goal is to find out loan approval prediction over testing data using model (created using training data)

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

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

Section 251 of the Apprenticeships, Skills, Children and Learning Act 2009 states that local authorities should produce an annual budget statement and outturn statement. These provide details on schools and local authority funding and expenditure. It is also used to inform policy making at both local national level. The Budget statement provides a clear picture of the authority's planned spending for the current and next financial years. For details of the schools and local authority funding and expenditure at the end of the year, see Section 251 outturn statements . For more schools data see: Other schools data . Please note: The budget statement for 2020-21 was not required to be completed by the Government due to the Covid 19 pandemic.

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.

This dataset contains Income Statement data from IBRD?s published financial statements It was compiled from data in our systems as well as by extracting the data from the published Financial Statements documents. The dataset goes as far back as the foundation of the institution (1946). This data has been verified and validated for publication, but does not, in any capacity, replace the official published Financial Statements. Please note that this dataset includes certain rows that are calculated totals, summing up values from related individual records. These are included for completeness and ease of analysis. An archive for IBRD?s annual Financial Statements is available at www.worldbank.org/financialresults

Dataset Summary This dataset provides monthly synthetic financial statement data for McDonald's Corporation, spanning from January 2005 to December 2024 (20 years, 240 rows). The structure and field types closely follow actual historical reports, but all values are artificially generated to simulate realistic trends, growth, and variability in key financial metrics.

Disclaimer: This dataset is synthetic and was programmatically generated for educational and analytical purposes. It does not reflect actual financial results of McDonald's.

Columns & Descriptions Column Name Description Date Month of the record (YYYY-MM) Market cap ($B) Market capitalization (billion USD) Revenue ($B) Revenue (billion USD) Earnings ($B) Earnings/Net income (billion USD) P/E ratio Price-to-Earnings ratio P/S ratio Price-to-Sales ratio P/B ratio Price-to-Book ratio Operating Margin (%) Operating margin percentage EPS ($) Earnings per share (USD) Shares Outstanding ($B) Shares outstanding (in billions) Cash on Hand ($B) Cash on hand (billion USD) Dividend Yield (%) Dividend yield percentage Dividend (stock split adjusted) ($) Dividend per share, adjusted for splits (USD) Net assets ($B) Net assets (billion USD) Total assets ($B) Total assets (billion USD) Total debt ($B) Total debt (billion USD) Total liabilities ($B) Total liabilities (billion USD)

Data Generation Synthetic Approach: All values are programmatically generated to simulate plausible historical trends and volatility, based on actual McDonald's data structure and real-world financial logic.

Monthly Granularity: Data points are provided for every month, offering high temporal resolution suitable for time-series analysis.

No Real Data: No actual McDonald's confidential or proprietary data is included.

Example Use Cases Financial time series modeling & forecasting

Data visualization practice

Building dashboards and BI demos

Educational purposes (finance, data science, statistics)

Benchmarking financial data analysis algorithms

Acknowledgements Dataset inspired by public McDonald's annual financial reports.

Chile Banking System: Income Statement (IS): Operating Income (OI) data was reported at 13,356,245.000 CLP mn in Dec 2021. This records an increase from the previous number of 12,071,708.000 CLP mn for Nov 2021. Chile Banking System: Income Statement (IS): Operating Income (OI) data is updated monthly, averaging 4,750,234.500 CLP mn from Jan 2011 (Median) to Dec 2021, with 132 observations. The data reached an all-time high of 13,356,245.000 CLP mn in Dec 2021 and a record low of 478,674.000 CLP mn in Jan 2011. Chile Banking System: Income Statement (IS): Operating Income (OI) data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.KB015: Banking System: Income Statement: IAS 39.