20 datasets found
  1. Private Company Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global (2020). Private Company Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/private-company-financials-(30)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Standardized financial data on over 12 million global private companies.

  2. S&P Capital IQ Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global (2020). S&P Capital IQ Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/s-p-capital-iq-financials-(10)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Standardized and As Reported financial data for global public companies as well as thousands of private companies and private companies with public debt.

  3. Compustat® Financials Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global (2020). Compustat® Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/compustat-financials-(8)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Standardized North American and global company financials and market data for active and inactive publicly-traded companies.

  4. d

    Data for JRFM publication - Dataset - data.govt.nz - discover and use data

    • catalogue.data.govt.nz
    Updated Feb 1, 2001
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2001). Data for JRFM publication - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/oai-figshare-com-article-25551216
    Explore at:
    Dataset updated
    Feb 1, 2001
    License

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

    Description

    Financial industries are the most important users of derivatives. Thus, derivative accounting should be of economic significance to bank holding companies. Moreover, bank holding companies are required by law to provide detailed information on derivative holdings in a uniform format through regulatory filing (Quarterly FR-Y9C reports filed with the Federal Reserve Bank). The sample used in this study covers bank holding companies during the period from 2001 through 2005. The sample period is restricted up to 2005 because the key variable in this study that captures the hedging derivatives’ impact on income was only included in the FR-Y9C reports during this period. Bank holding companies in my sample must meet the following criteria: (1) quarterly financial statement data are available through COMPUSTAT, (2) stock return data are available through CRSP, and (3) the bank holding company filed FR-Y9C reports with the Federal Reserve Bank during the sample period, (4) This selection procedure yields a final sample of 168 unique bank holding companies

  5. SNL Financial Institutions Regulatory Data Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Aug 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global (2020). SNL Financial Institutions Regulatory Data Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-financial-institutions-regulatory-data-(37)
    Explore at:
    Dataset updated
    Aug 2, 2020
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Financial statement filings from banks and credit unions.

  6. Financial Analytics Market - Size, Growth & Analysis

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Sep 19, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mordor Intelligence (2022). Financial Analytics Market - Size, Growth & Analysis [Dataset]. https://www.mordorintelligence.com/industry-reports/financial-analytics-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 19, 2022
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Report Covers Financial Data Service Providers Industry and It is Segmented by Deployment (On-Premise, On-Cloud), Solution (Database Management and Planning, Analysis and Reporting), End-User Vertical (BFSI, Healthcare, Manufacturing, Government, IT and Telecom), and Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

  7. G

    Property and casualty insurance companies statements of estimated changes in...

    • open.canada.ca
    • ouvert.canada.ca
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Property and casualty insurance companies statements of estimated changes in financial position [Dataset]. https://open.canada.ca/data/en/dataset/d02d92aa-db6b-4b70-abfe-0e933134cbb1
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 87 series, with data for years 1973 - 1990 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial position (87 items: Total source of financing;Net internal sources of financing;Net income before extraordinary transactions;Add, back expenses requiring no outlay of cash; ...).

  8. s

    South West Water (Whole area) Annual Performance report 2024

    • streamwaterdata.co.uk
    Updated Jul 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    JEvans_Pennon (2024). South West Water (Whole area) Annual Performance report 2024 [Dataset]. https://www.streamwaterdata.co.uk/items/24b862dea9b74867a47137f7674535b9
    Explore at:
    Dataset updated
    Jul 17, 2024
    Dataset authored and provided by
    JEvans_Pennon
    License

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

    Description

    OfWat mandates that water companies must compile regulatory accounting statements annually, concluding on March 31st. This obligation is met through the Annual Performance Report (APR) tables, which are structured into 11 sections. These sections, containing various sub-tables, comprehensively cover aspects like finance, environmental impact, infrastructure, among others.For more information on how to understand this dataset and for wider context on water companies’ annual reporting, view our detailed APR pageOur full suite of annual reporting documents is available here: South West Water | How we're performing 2023-2024

  9. f

    Data from: S1 Data -

    • plos.figshare.com
    • figshare.com
    xls
    Updated Apr 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lujing Liu; Xiaoning Zhou; Jian Xu (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0300217.s001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Lujing Liu; Xiaoning Zhou; Jian Xu
    License

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

    Description

    The objective of this study is to explore the impact of working capital management on firms’ financial performance in China’s agri-food sector from 2006 to 2021. In addition, we analyze whether this impact is the same during the 2008 financial crisis and the 2020 COVID-19 crisis. Working capital management is measured by working capital investment policy (measured by current assets to total assets ratio), working capital financing policy (measured by current liabilities to total assets ratio), cash conversion cycle, and net working capital ratio. The results reveal that current assets to total assets ratio and net working capital ratio positively influence financial performance measured through return on assets (ROA), while current liabilities to total assets ratio and cash conversion cycle negatively influence ROA. We also find that the relationship between working capital management and financial performance is more affected during COVID-19 than in the 2008 financial crisis. The findings might provide important implications for company managers to make optimal working capital management practices, depending on the economic environment.

  10. SNL Insurance Regulatory Data Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Updated Jan 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global (2025). SNL Insurance Regulatory Data Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/snl-insurance-regulatory-data-(41)
    Explore at:
    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    The SNL Insurance Regulatory Data dataset provides insurance data regulated by various bodies, requiring companies across different regions and countries to disclose specific financial data on a periodic basis.

  11. a

    South Staffs Water Annual Performance Report 2022-23

    • hub.arcgis.com
    • streamwaterdata.co.uk
    Updated Jul 15, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SouthStaffs1 (2023). South Staffs Water Annual Performance Report 2022-23 [Dataset]. https://hub.arcgis.com/documents/54cee9daea1c4f3e89b57937f117ecca
    Explore at:
    Dataset updated
    Jul 15, 2023
    Dataset authored and provided by
    SouthStaffs1
    License

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

    Description

    Ofwat mandates that water companies must compile regulatory accounting statements annually, concluding on March 31st. This obligation is met through the Annual Performance Report (APR) tables, which are structured into 11 sections. These sections, containing various sub-tables, comprehensively cover aspects like finance, environmental impact, infrastructure, among others.For more information on how to understand this dataset and for wider context on water companies’ annual reporting, view our detailed APR pageOur full suite of annual reporting documents is available here: https://www.south-staffs-water.co.uk/publications/publication-categories?category=Annual%20reports&page=4

  12. t

    Vector Database Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Business Research Company (2025). Vector Database Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/vector-database-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    The Vector Database Market is projected to grow at 23.7% CAGR, reaching $7.13 Billion by 2029. Where is the industry heading next? Get the sample report now!

  13. South Staffs Water Annual Performance Report 2023-24

    • streamwaterdata.co.uk
    Updated Sep 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    swhitfield_southstaffswater (2024). South Staffs Water Annual Performance Report 2023-24 [Dataset]. https://www.streamwaterdata.co.uk/items/007303df27d2420c8d948ddb481e5bd5
    Explore at:
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    South Staffordshire Waterhttps://www.south-staffs-water.co.uk/
    Authors
    swhitfield_southstaffswater
    License

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

    Description

    Ofwat mandates that water companies must compile regulatory accounting statements annually, concluding on March 31st. This obligation is met through the Annual Performance Report (APR) tables, which are structured into 11 sections. These sections, containing various sub-tables, comprehensively cover aspects like finance, environmental impact, infrastructure, among others.For more information on how to understand this dataset and for wider context on water companies’ annual reporting, view our detailed APR pageOur full suite of annual reporting documents is available here: https://www.south-staffs-water.co.uk/publications/publication-categories?category=Annual%20reports&page=1

  14. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 5, 1965 - Mar 27, 2025
    Area covered
    Japan
    Description

    The main stock market index in Japan (JP225) decreased 2147 points or 5.38% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on March of 2025.

  15. World Bank Enterprise Survey 2023 - Indonesia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jan 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Group (WBG) (2025). World Bank Enterprise Survey 2023 - Indonesia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6449
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    Authors
    World Bank Group (WBG)
    Time period covered
    2022 - 2023
    Area covered
    Indonesia
    Description

    Abstract

    The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

    Geographic coverage

    National coverage

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency. In the case of Indonesia, registration are those establishments in possession of TDP (Company registration Certificate)/NIB (Business Identification Number). Both TDP and NIB are included as the implementation of the Omnibus Law on Job Creation from 2020 was being implemented and businesses were transitioning to the new definitions.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

    • produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
    • ensures representativeness by including observations in all of those categories
    • produces more precise estimates for a given sample size or budget allocation, and
    • may reduce implementation costs by splitting the population into convenient subdivisions.

    The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

    Note: Refer to Sampling Structure section in "The Indonesia 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

    In addition to the standard set of questions administered to all respondents, the sample was randomly split with two different modules that cover different set of questions: Version A – B-Ready contains additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics. Version B – Green Economy and Taxation covers questions with regards to taxes, green economy, and maternity policies.

    The different modules in the dataset are reflected in variable q_version.

    Response rate

    Overall survey response rate was 41.2%.

  16. O

    EPM 18767, PIGEON, ANNUAL EPORT FOR THE PERIOD ENDING 13/1/18

    • data.qld.gov.au
    Updated May 8, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Geological Survey of Queensland (2023). EPM 18767, PIGEON, ANNUAL EPORT FOR THE PERIOD ENDING 13/1/18 [Dataset]. https://www.data.qld.gov.au/geoscience/cr124333
    Explore at:
    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    Geological Survey of Queensland
    License

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

    Description

    URL: https://geoscience.data.qld.gov.au/dataset/cr124333

    This report summarizes exploration for Duyfken Explorations Pty Ltd (the company) for the period 14 January 2017 to 13 January 2018. During the year the company focussed on the Riversleigh phosphate deposit, which was discovered by Broken Hill South during 1967-69. Geological mapping and percussion drilling data obtained from Open File exploration reports were digitised.
    Duyfken was keen to find samples representative of the mineralisation. These samples were required for metallurgical purposes to determine if the mineralisation was amenable to newly devised leaching processes. The prospect was relocated in the field but only minimal phosphorite outcrop was identified at Riversleigh.
    Two rock chip samples were submitted to Australian Laboratory Services (ALS) for analysis by the Mineral Liberation Analyser (MLA). The MLA data was provided to Prudentia Processing Consultants (Prudentia) for ore analysis. The report noted that the levels of impurities (specifically Al and Fe) were above the required benchmarks and the product would have to be beneficiated. It was also noted that one of the samples (RV3) contained excess calcite. The calcite would have to be removed and this would be a secondary objective to be incorporated during the beneficiation process. The report suggested that the grade of one of the samples approached what can be fed to a phosphoric acid plant provided that minor elements can be reduced. Prudentia concluded that flotation, as commonly performed in the phosphate industry, would probably be required as a beneficiation upgrade.
    The report also suggested that further test work would be required to identify probable processing solutions according with the likely ore grade and quality. During the reporting period no further work was undertaken but the next step would be to provide phosphate samples that are more representative of the deposit for further analysis. This could either be done by selective drilling or by excavating the exploratory shaft. The company is committed to securing funding in order to further evaluate the Riversleigh phosphate deposit.

  17. S&P Capital IQ Estimates Dataset | S&P Global Marketplace

    • marketplace.spglobal.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S&P Global, S&P Capital IQ Estimates Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/s-p-capital-iq-estimates-(1)
    Explore at:
    Dataset authored and provided by
    S&P Globalhttps://www.spglobal.com/
    Description

    Comprehensive global estimates based on projections, models, analysis and research. Available as global, international or North American company packages.

  18. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 30, 1987 - Mar 27, 2025
    Area covered
    Germany
    Description

    The main stock market index in Germany (DE40) increased 2823 points or 14.18% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on March of 2025.

  19. T

    Canada Stock Market Index (TSX) Data

    • tradingeconomics.com
    • no.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Canada Stock Market Index (TSX) Data [Dataset]. https://tradingeconomics.com/canada/stock-market
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 29, 1979 - Mar 27, 2025
    Area covered
    Canada
    Description

    The main stock market index in Canada (TSX) increased 472 points or 1.91% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on March of 2025.

  20. All-time biggest online data breaches 2024

    • statista.com
    Updated Nov 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). All-time biggest online data breaches 2024 [Dataset]. https://www.statista.com/statistics/290525/cyber-crime-biggest-online-data-breaches-worldwide/
    Explore at:
    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    Worldwide
    Description

    The largest reported data leakage as of January 2024 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

    Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
S&P Global (2020). Private Company Financials Dataset | S&P Global Marketplace [Dataset]. https://www.marketplace.spglobal.com/en/datasets/private-company-financials-(30)
Organization logo

Private Company Financials Dataset | S&P Global Marketplace

SPGlobal

Explore at:
Dataset updated
Aug 2, 2020
Dataset authored and provided by
S&P Globalhttps://www.spglobal.com/
Description

Standardized financial data on over 12 million global private companies.

Search
Clear search
Close search
Google apps
Main menu