Welcome to the human-readable and machine-readable knowledge graph for US GAAP. This free open source resource enables software engineers to understand how to create supercharged software applications related to US GAAP or other financial reporting schemes represented using XBRL. It is based on a proven, best-practices, global standard method.

XBRL taxonomy for US Generally Accepted Accounting Principles (US-GAAP) which is provided by the FASB.

For more information please see:

US GAAP Knowledge Graph

This XBRL-based machine-readable information essentially forms a knowledge graph. The US GAAP Knowledge Graph is a set of terms, structures, assocations, and rules that are used to build models and report facts per those models.

The following is a quick reference to information provided within this human-readable and machine-readable knowledge graph.

Technical Basics

The following is important basic technical information that will help get software engineers started. For a good book see The XBRL Book: Simple, Precise, Techical.

Last updated: 5/12/2021 3:13:00 PM