Supply Chain Data helps users from around the world to discover and share business intelligence using advanced data analytics without coding.
We integrate data, models and visualization tools for hard-to-uncover business insights just a few clicks away. To date, we host the data of enterprises publicly traded on many world's largest stock exchanges across four continents, they are New York Stock Exchange, Nasdaq Stock Exchange, Toronto Stock Exchange (America); London Stock Exchange, Euronext, Frankfurt Stock Exchange and Xetra, Borsa Italiana, SIX Swiss Exchange (Europe); Tokyo Stock Exchange, Korea Exchange, National Stock Exchange of India, Shenzhen and Shanghai Stock Exchanges, Hong Kong Stock Exchange (Asia); Australian Securities Exchange (Oceania). These enterprises are headquartered in nearly 100 countries. Data is updated multiple times a year and thus does not reflect daily changes. Data is subject to changes due to restating a financial statement, changes in Generally Accepted Accounting Principles – GAAP (retroactively), changes in reporting entity (change of ownership, M&A, spin-offs, delisting), changes in the exchanges that enterprises are traded, and changes in industry classification.
Data sources: U.S. Securities and Exchange Commission (SEC) 10-K reports, annual reports and / or financial statements from the stock exchanges aforementioned.
Key Performance Indicators (KPIs):
Enterprises' financial data is presented in a globally unified accounting standard. The following table summarizes some popular KPIs in each of the four areas: profitability, growth, financial health, and efficiency.
|Area||KPIs to watch|
|Profitability||Gross profit, operating income or loss, net income, gross margin, operating margin, net margin, return on assets, ...|
|Growth||Growth of revenue, growth of net income, growth of free cash flow|
|Financial health||Current ratio, liability asset ratio, …|
|Efficiency||Inventory days, cash conversion cycle, asset turnover, ...|
Questions, comments and suggestions can be sent to us at admin@SCDATA.ai.
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