- Income Statement
- Formats of Income Statements
- Principles of Revenue Recognition
- Revenue Recognition - Long-term Contracts
- Revenue Recognition - Instalment Sales
- Revenue Recognition - Barter Transactions
- Expense Recognition
- Inventory Expense Recognition
- Depreciation Expense Recognition
- Amortization Expense Recognition
- Bad Debt Expense and Warranty Expense Recognition
- Financial Reporting of Non-recurring Items
- Operating and Non-operating Components of Income Statement
- How to Calculate Basic Earnings Per Share (EPS)
- Impact of Stock Dividends and Stock Splits on Earnings Per Share (EPS)
- Diluted EPS
- Calculation of Diluted EPS (Convertible Preferred Stock)
- Calculation of Diluted EPS (Convertible Debt)
- Common Size Income Statement
- Performance Measures of a Company
- Comprehensive Income
Calculation of Diluted EPS (Convertible Debt)
We have the following data for a company:
- Net income= $12,000
- Preferred dividend= $2,000
- Weighted Average Shares Outstanding= 10,000
- Preferred Stock Outstanding = 1,000
- 50 convertible bonds, $1,000 par, 6%. Each bond is convertible into 100 shares
Basic EPS = (12,000 – 2,000)/10,000 = 1
If the convertible bonds are converted into shares, the total new shares issued will be:
\= 50*100 = 5,000
If the convertible bonds are converted into shares, there will be no interest expense. Therefore the net income will increase by = 50*1000*0.06(1-0.40) = 1,800
Diluted EPS = (12,000 – 2,000+1,800)/(10,000+5,000) = 0.78
We should check whether the diluted EPS is less than basic EPS. Only if it is less, the convertible bonds will be considered to be dilutive and will be included in the calculation of dilutive EPS.
Related Downloads
Related Quizzes
Data Science in Finance: 9-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 $39 (Regular $57)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.