Cost of Debt and Optional Tax Shield Calculator
Compare the assumed equity return with a separate cost of debt.
Calculate a scenario equity return from risk-free rate, beta and market premium, or from next-year dividends and price. Market inputs are supplied estimates, and the dividend model requires a stable dividend-paying business.
Cost of equity is a modelled required return, not a promised investment outcome. This calculator offers CAPM and a constant dividend-growth approach, using the assumptions you supply and showing both side by side when you want to examine why their estimates differ.
CAPM needs a risk-free rate, beta and market premium. Dividend growth needs a forward dividend, scenario price and continuing growth assumption; it is unsuitable for a business without a stable dividend stream.
CAPM adds beta times the premium to the risk-free rate. The dividend approach adds the forward dividend yield to the constant growth rate.
In compare mode, review each model's inputs separately. Different estimates can arise because the models describe risk and expected cash distributions in different ways.
Sample inputs demonstrate the method. They are not a forecast or product offer.
The first example uses a 3% risk-free rate, beta of 1.2 and a 5% market premium. The risk component is 6 percentage points, which added to 3% gives a CAPM cost of equity of 9%.
Sample inputs demonstrate the method. They are not a forecast or product offer.
Sample inputs demonstrate the method. They are not a forecast or product offer.
The output is a scenario equity-return rate. It is not a current quote, an assurance of realised returns or an all-capital discount rate incorporating debt.
Dividend growth assumes a stable continuing payout, so a numerical result does not validate an aggressive perpetual-growth assumption. For valuation, the discount rate must match the cash flows being discounted.
Not necessarily. CAPM represents systematic market risk, while dividend growth infers a return from a price and a stable payout projection. A gap is a reason to review assumptions, not to average blindly.
Read our calculation and testing approach.