Enter each assumption using the units shown. Review the main result, then compare the secondary figures. Change one input at a time to test a different scenario. Use Reset to restore the starting example.
Real Estate Return on Investment Calculator
Measure total and annualized return from a property using purchase and sale prices, rental income, expenses, transaction costs, and renovation spending.
Inputs
$
$
years
$
$
$
$
$
Result
—
Profit divided by total cash invested
Estimated total profit—
Annualized return—
Net rental income—
Net appreciation after selling costs—
Break-even sale price—
Profit = net rental income over the holding period + sale price − purchase price − buying, selling, and renovation costs. ROI = profit ÷ total cash invested.What the result means
The main result summarizes the selected assumptions. Secondary values show the components, comparison case, or threshold most useful for checking the result.
Results are estimates and do not replace individualized financial, tax, legal, or lending advice.
The calculator loads a complete example automatically. Its result is calculated from the visible default inputs. Adjust any value to create a scenario that matches your situation.
Which inputs have the largest effect on this real estate return on investment calculator?
The inputs tied directly to the main formula usually have the greatest effect. Change one assumption at a time to see how sensitive the result is.
Does the calculator include taxes or inflation?
Only items shown as inputs are included. Add taxes, inflation, or other costs through the available assumptions when relevant.
Why can my result differ from a bank or brokerage projection?
Institutions may use different timing, compounding, fees, underwriting rules, or rounding conventions.
Can I use zero for an input?
Zero is accepted where it is mathematically valid. Required values such as a purchase price, income, or target must remain positive.
How should I use the secondary results?
Use them to compare scenarios, identify the largest driver, and check whether the main result remains practical under less favorable assumptions.