Calculation of EBITDA Under IFRS

EBITDA stands for Earnings Before Interest, Tax, Depreciation, and Amortization. It’s a popular measure and is commonly used in various financial ratios to compare different companies. EBITDA provides a measure of the operating performance of a business. The general formula for calculating EBITDA is as follows:

EBITDA = Revenue − Expenses (excluding tax and interest, depreciation, and amortization)

It may also exclude other expenses such as stock-based compensation, foreign exchange gain (loss), and restructuring costs.

Even though, it’s extensively used as a measure of a firm’s ability to generate cash and service its debt, EBITDA is not a standardized measure under IFRS, which makes it difficult to compare across companies.

The following table shows a sample calculation of EBITDA.

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.