How to Estimate Dividend Growth Rate?

While calculating the value of a stock using the dividend discount model, an important input is the assumed growth rate. Analysts can estimate this growth rate using a variety of methods.

  1. Analysts can observe the historical growth in dividends of the company and assume a future growth rate based on this observation.
  2. Analysts can observe the dividend growth rate in the industry that the company operates in and use the median industry dividend growth rate.
  3. Analysts can use the sustainable growth rate calculated using return on equity (ROE), and dividend payout ratio.

Sustainable Growth Rate

Sustainable growth rate is the rate at which the company can continue to grow without securing any additional funding, i.e., without borrowing additional money or issuing new equity.

Sustainable growth rate can be calculated using the following formula:

Sustainable growth rate = ROE * (1 – Dividend payout ratio)

Let’s say that a company has an ROE of 10%, and it pays out 40% in dividends. The company’s sustainable growth rate (g) will be:

G = 10%*(1-0.40) = 6%

This suggests that with an ROE of 10% and a payout ratio of 40%, the company can sustain a growth rate of 6% forever.

Related Downloads

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 $39 (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.