SimFin aggregates and standardizes fundamental financial data for publicly listed companies, making it accessible through a web interface and a developer-friendly API. The platform covers income statements, balance sheets, cash flow statements, and share price data across global markets. SimFin is designed to lower the barrier to financial data access, offering both free and paid tiers so that individual investors, students, researchers, and professional analysts can retrieve, analyze, and integrate financial data into their own workflows or applications. The platform provides bulk data downloads, a Python library, and an API, enabling programmatic access to historical and current financial statements. SimFin positions itself as an alternative to expensive institutional data providers by offering clean, normalized data at accessible price points. Users can explore data through the SimFin web app or consume it directly via the API for use in quantitative research, financial modeling, and investment analysis.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Cloud
- API
Key features
Use cases
- Access standardized fundamental financial data
- Build quantitative investment models
- Perform stock screening and analysis
- Download bulk financial datasets
- Integrate financial data into applications
Best for
- Individual investors who need to access affordable, standardized fundamental financial data
- Developers who need to integrate financial statement data into applications or models via API
- Financial analysts who need to perform fundamental analysis across multiple publicly listed companies
- Researchers and students who need historical financial datasets for academic or quantitative study
Integrations
Developer
Python