Disparity in the Adoption of XBRL Taxonomies – A Cross-Industry Analysis
摘要
The eXtensible Business Reporting Language (XBRL) is a vital tool for exchanging corporate financial information. Corporations typically file the numeric facts of their financial performance by referencing standard XBRL taxonomies (e.g., the US GAAP taxonomy). These taxonomies define the metadata for the numeric facts, such as their meanings and interrelations. The varied approaches to XBRL taxonomy interpretation across industries highlight the inherent heterogeneity in XBRL filings, illustrating the diverse landscape of XBRL adoption. To date, limited efforts have been directed toward a comprehensive analysis and comparison of XBRL taxonomy adoption patterns across different industry sectors. To address this gap, we collected data from the US SEC website, focusing on 123 S&P 500 companies from two GICS sectors—63 companies from the Financials sector and 60 from the Health Care sector. Our study examines variations in XBRL filings across these industries. Our analysis reveals that standard XBRL taxonomies often fail to fully represent corporate financial concepts. Additionally, we identify instances of redundancy within standard XBRL concepts. These findings underscore the limitations of current XBRL taxonomies and provide valuable insights for their improvement.