Discover the streamlined process of downloading 10-K forms from the EDGAR database in Excel format. 10-Ks, the comprehensive annual financial reports filed by publicly traded companies, are vital for financial analysis and investment decisions.
This guide provides a step-by-step approach to accessing these reports efficiently. However, instead of dealing with complex Excel functions and tedious manual processes, you can use Sourcetable's AI chatbot to instantly analyze any 10-K data you upload - just try it out at Sourcetable and see how simple financial analysis can be.
Calcbench and XBRL to XL are free applications that export SEC data to Excel. Both require account creation and are in beta with known bugs and data mismatches. Calcbench allows direct export of financial statement sections.
The sec-api Python package offers reliable programmatic access to EDGAR filings. Install the package and use the Query API to filter the EDGAR database. The Render API downloads Financial_Report.xlsx files at up to 40 requests per second.
For bulk downloads, use the sec_edgar_downloader package or sec_api with parallel processing. Set parallel downloads using number_of_processes or number_of_workers parameters. The pandarallel package enables efficient parallel downloads.
1. Install the sec-api package2. Use QueryApi to retrieve filing metadata3. Build URLs for financial reports4. Modify URLs by replacing sec.gov/Archives/edgar/data with archive.sec-api.io5. Download reports using the Render API
Bulk datasets are available on Zenodo but may not be current. The downloader package supports both individual and bulk downloads. Use requests.get(URL) for single downloads or download_report(filing) for parallel processing.
Download and analyze comprehensive annual performance metrics for any publicly traded company. This enables detailed examination of revenue trends, profitability margins, and key financial ratios to assess the company's financial health.
Easily compare financial metrics across multiple companies in the same industry. This enables benchmarking analysis and helps identify industry leaders and laggards based on key performance indicators.
Evaluate potential investment opportunities by analyzing historical financial data. This allows investors to make data-driven decisions based on trends in company performance and financial stability.
Create compelling charts and graphs from financial data for stakeholder presentations. Transform complex financial information into clear, visually appealing formats that effectively communicate insights.
Streamline the process of gathering and organizing financial data for regular reporting needs. This automation saves time and reduces errors in financial analysis and reporting workflows.
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The easiest way is to use the Render API, which allows you to download any EDGAR filing or exhibit at up to 40 downloads per second. You can use the requests.get(URL) function to save files to your local disk, and the Financial_Report.xlsx files will be saved in the reports folder.
Yes, you can use tools like Calcbench or XBRL to XL. Both require creating a free account and allow exporting 3-4 years of data. However, these tools are in beta and may have bugs or data mismatches.
You can download multiple reports in parallel using the pandarallel package with the urls.parallel_apply(download_report, axis=1) function. First use the Query API to build a list of URLs for the financial reports, then use the Render API to download the Financial_Report.xlsx files.
Downloading 10-K reports from EDGAR in Excel format requires multiple steps and technical knowledge. Financial analysts and investors need efficient ways to access and analyze this data.
Sourcetable eliminates these complexities. Its AI-powered spreadsheet capabilities can instantly extract and format 10-K data. The built-in chatbot provides immediate answers to your spreadsheet questions.
Learn how to streamline your financial data analysis with Sourcetable today.