---
license: cc-by-4.0
task_categories:
- table-question-answering
- feature-extraction
- text-generation
- summarization
language:
- id
- en
tags:
- finance
- indonesia
- idx
- stock-market
- financial-statements
- excel-parsing
- fundamental-analysis
- accounting
---

# IDX_Financial_Statements_Excel

This repository contains a comprehensive collection of financial statement data from public companies listed on the **Indonesia Stock Exchange (IDX)**. The data is structured to facilitate automated financial analysis, trend monitoring, and the training of machine learning models for the Indonesian capital market.

## Dataset Overview

The dataset provides structured access to the primary components of corporate financial reporting:
- **Statement of Financial Position** (Neraca)
- **Statement of Comprehensive Income** (Laporan Laba Rugi)
- **Statement of Cash Flows** (Laporan Arus Kas)
- **Statement of Changes in Equity** (Laporan Perubahan Ekuitas)

The data originates from Excel-based reporting submissions, which have been processed into a format suitable for computational use while maintaining the integrity of the original accounting figures.

## Key Features

- **Standardized Labels**: Mapping of various Indonesian accounting terms to standardized fields for easier cross-company comparison.
- **Multi-Year Coverage**: Historical data allowing for time-series analysis of company performance.
- **Bilingual Context**: Includes both Indonesian (ID) and English (EN) financial terminology as per IDX reporting standards.
- **Ready for RAG**: Optimized for Financial RAG (Retrieval-Augmented Generation) where users can ask complex questions about a company's debt-to-equity ratio, revenue growth, or liquidity.

## Use Cases

1. **Automated Fundamental Analysis**: Calculate financial ratios (PER, PBV, ROE, DER) automatically across the entire IDX universe.
2. **Financial Chatbots**: Power AI assistants that can answer specific questions like *"Berapa laba bersih PT Telkom pada tahun 2023?"*
3. **Anomaly Detection**: Identify unusual accounting patterns or outliers in financial reporting.
4. **Investment Research**: Data sourcing for quantitative investment strategies and equity research reports.

## Data Schema

The dataset typically includes:
- `ticker`: The 4-letter company stock code (e.g., BBCA, TLKM).
- `period`: The reporting period (e.g., FY 2023, Q1 2024).
- `account_name`: The specific line item (e.g., Total Assets, Net Profit).
- `value`: The numerical amount recorded.
- `currency`: Usually IDR (Rupiah).

## License

This dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share, copy, and adapt the data for commercial and non-commercial purposes, provided you give appropriate credit to the source.

## Disclaimer

This dataset is intended for educational and research purposes. While efforts are made to ensure data accuracy, users should verify critical financial information against official disclosures on the [IDX Website](https://www.idx.co.id).

---