Inventory at Net Realizable Value

  • International and U.S. accounting standards require companies to carry inventory on the balance sheet at the lower of cost or market (LCM).

  • With LCM an unrealized loss caused by a change that materially disconnects the in the fair market value of current inventory from the most recently reported book value of inventory must be immediately recognized.

  • This will lower the book value of assets on the balance sheet and reduce profit.

  • Example: The feature music file sharing device sold by an electronics chain has just become obsolete due to the advances offered by a new device that is not sold by this chain.  Regardless of inventory accounting method, the electronics chain must write down its inventory and take a write down charge on its income statement to more accurately reflect true financial position and performance.

  • Internationally (IFRS-IAS), net realizable value represents the cost to finalize and sell inventory.

  • In the US (GAAP), market value is generally estimated as the present replacement cost of the inventory.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $29 (Regular $57)
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.