The CnOpenData Global Corporate Annual Reports Database compiles corporate annual reports dating back to 1957, covering listed companies across industries, firm sizes, and stock exchanges. As the most authoritative disclosure document, annual reports contain essential information on corporate strategy, financial performance, governance structures, industry positioning, and future outlook. This database systematically structures publicly disclosed content and provides company profiles, report metadata, scoring information, and PDF file paths, enabling efficient retrieval, comparison, and quantitative analysis.
Data Features:
- Longitudinal Coverage & Industry Representation: Nearly 70 years of continuous data spanning sectors from traditional manufacturing to emerging biotechnology.”
- Rich Metadata & Quality Evaluation: Includes report scores, score counts, and badge types in addition to basic company information.
- Global Scope & Cross-Market Comparability: Covers multiple stock exchanges and firms of various sizes. Fields such as country and market segment enable analysis of policy effects, regional clusters, and cross-market dynamics.”
- Original PDFs + Structured Data: All reports retain links to the original PDF files, ensuring traceability, while structured fields support large-scale analysis and reduce data-cleaning costs.”
Data Application Value：
- Academic Research: Supports long-panel studies of corporate governance evolution and industry-specific trends such as R&D investment patterns.”
- Investment Decision-Making: Investors can leverage report scores and firm-size data to identify stable targets or detect financial irregularities through cross-year comparisons. Exchange and industry classifications assist in diversified portfolio allocation.”
- Industry Structure & Global Value Chain Studies: Enables analysis of industry life cycles, cross-country industrial structure evolution, and multinational corporate strategies within global value chain shifts.”
- Text Mining & Machine Learning:Original PDF reports serve as a high-quality corpus for annual report classification, information extraction, generative-model training, risk detection models, and credit-scoring systems.”
With its long-term coverage, multi-dimensional metadata, and original documents, the database provides a comprehensive platform for both academic and industry users to analyze corporate annual reports. Its distinctive quality evaluation system and global cross-market coverage make it a trusted data infrastructure for macro-trend research, firm-level diagnostics, and educational applications.
Time Range
1957-2025.10
Field Description
Sample Data
Update Frequency
Annual Update