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Rental Property Analysis Spreadsheet

Generate a comprehensive rental property analysis spreadsheet with income projections, expense breakdowns, mortgage calculations, and key investment metrics like NOI, cap rate, and cash-on-cash return.

Used 162 times
Expert Verified
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Created byOguz Serdar
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Reviewed byCuneyt Mertayak

Prompt Template

I am evaluating a rental property and need a comprehensive analysis spreadsheet that covers every financial dimension of the deal. The property is located at [PROPERTY_ADDRESS] and the property type is [PROPERTY_TYPE:select:single-family home,duplex,triplex,fourplex,small apartment building (5-20 units),condo or townhouse,mixed-use]. The purchase price is [PURCHASE_PRICE:number:10000-10000000] dollars with a down payment of [DOWN_PAYMENT_PERCENT:select:3.5%,5%,10%,15%,20%,25%,30%,100% (all cash)] of the purchase price. Estimated closing costs are [CLOSING_COSTS?] dollars or estimate at 3 to 4 percent if unknown.

For the income section, the expected monthly rent is [MONTHLY_RENT:number:200-50000] dollars across all units. Additional monthly income from sources like parking, laundry, storage, or pet fees totals [OTHER_MONTHLY_INCOME?] dollars. Apply a vacancy rate of [VACANCY_RATE:select:3%,5%,7%,10%,12%] and a credit loss allowance of [CREDIT_LOSS:select:1%,2%,3%] to calculate effective gross income on both a monthly and annual basis.

For operating expenses, list each item on its own line with monthly and annual columns. Property taxes are [ANNUAL_PROPERTY_TAX:number:500-50000] dollars per year. Insurance costs [ANNUAL_INSURANCE:number:300-15000] dollars per year. Budget [MAINTENANCE_PERCENT:select:5%,8%,10%,12%,15%] of gross rent for repairs and maintenance. Property management fees are [MANAGEMENT_FEE:select:0% (self-managed),6%,8%,10%,12%] of collected rent. HOA or condo fees are [HOA_MONTHLY?] dollars per month. Utilities paid by the landlord total [LANDLORD_UTILITIES?] dollars per month. Other recurring expenses like landscaping, pest control, or legal fees total [OTHER_EXPENSES?] dollars per month. Set aside [CAPEX_RESERVE:select:5%,7%,10%] of gross rent as a capital expenditure reserve for future roof, HVAC, and appliance replacements.

For the mortgage section, calculate the loan amount from the purchase price minus down payment. The interest rate is [INTEREST_RATE:number:2-12] percent on a [LOAN_TERM:select:15-year,20-year,25-year,30-year] fixed-rate mortgage. Show the monthly principal and interest payment, and break out annual debt service.

Now build the analysis spreadsheet with these sections. First, create an acquisition summary showing total cash needed to close including down payment, closing costs, and any immediate repairs estimated at [IMMEDIATE_REPAIRS?] dollars. Second, produce a monthly and annual income statement that flows from gross scheduled income through effective gross income, total operating expenses, net operating income, debt service, and finally net cash flow.

Third, calculate and display these investment metrics in a summary table: net operating income, cap rate (NOI divided by purchase price), cash-on-cash return (annual cash flow divided by total cash invested), monthly cash flow, gross rent multiplier, debt service coverage ratio, one percent rule test, break-even occupancy rate, total ROI including principal paydown, and operating expense ratio.

Fourth, create a [PROJECTION_YEARS:select:3-year,5-year,10-year] projection assuming annual rent growth of [RENT_GROWTH:select:0%,2%,3%,4%,5%] and expense growth of [EXPENSE_GROWTH:select:2%,3%,4%,5%]. Show projected cash flow, cumulative cash flow, equity buildup from principal paydown, and estimated property value using the initial cap rate for each year.

Fifth, include a deal evaluation section that scores the property against investment benchmarks: positive or negative cash flow, cap rate versus [TARGET_CAP_RATE:select:4%,5%,6%,7%,8%,10%], cash-on-cash return versus [TARGET_COC:select:6%,8%,10%,12%,15%], and DSCR above 1.2. Provide a clear buy, negotiate, or pass recommendation.

Format the entire output as a structured spreadsheet with clearly labeled rows, columns, and section headers that can be copied directly into Excel or Google Sheets.

Variables
25

text
select
number

Range: 10000 - 10000000

select
text
number

Range: 200 - 50000

text
select
select
number

Range: 500 - 50000

number

Range: 300 - 15000

select
select
text
text
text
select
number

Range: 2 - 12

select
text
select
select
select
select
select

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About Rental Property Analysis Spreadsheet

Running the numbers on a rental property deal often means juggling dozens of variables across scattered calculators, napkin math, and half-finished spreadsheets. One missed expense or optimistic vacancy assumption can turn what looks like a profitable deal into a money pit. Investors need a single, structured framework that captures every financial input and outputs the metrics that actually determine whether a property is worth buying.

This rental property analysis spreadsheet prompt generates a complete deal evaluation covering acquisition costs, monthly and annual income projections, itemized operating expenses, mortgage payment calculations, and a full suite of investment metrics including NOI, cap rate, cash-on-cash return, DSCR, and gross rent multiplier. It also builds a multi-year projection with rent growth and expense inflation assumptions so you can model long-term performance.

Customize every input in the Dock Editor to match a specific deal, then compare the output against your target cap rate and cash-on-cash benchmarks. The prompt works with ChatGPT, Claude, Gemini, and other AI assistants, giving you a formatted spreadsheet you can paste directly into Excel or Google Sheets.

How to Use Rental Property Analysis Spreadsheet

1

Enter property and acquisition details

Fill in [PROPERTY_ADDRESS], [PROPERTY_TYPE], and [PURCHASE_PRICE]. Set your [DOWN_PAYMENT_PERCENT] and [CLOSING_COSTS] to calculate the total cash needed to close. Add [IMMEDIATE_REPAIRS] if the property needs work before renting.

2

Define income and vacancy assumptions

Enter [MONTHLY_RENT] for all units combined and any [OTHER_MONTHLY_INCOME] from parking, laundry, or storage. Choose a [VACANCY_RATE] and [CREDIT_LOSS] allowance that reflect local market conditions. Conservative investors typically use 7 to 10% vacancy.

3

Itemize all operating expenses

Enter [ANNUAL_PROPERTY_TAX], [ANNUAL_INSURANCE], and [HOA_MONTHLY] if applicable. Set [MAINTENANCE_PERCENT], [MANAGEMENT_FEE], and [CAPEX_RESERVE] as percentages of gross rent. Add [LANDLORD_UTILITIES] and [OTHER_EXPENSES] for any costs the tenant does not cover.

4

Configure mortgage and projection settings

Specify [INTEREST_RATE] and [LOAN_TERM] to calculate monthly debt service. Choose [PROJECTION_YEARS], [RENT_GROWTH], and [EXPENSE_GROWTH] to model how cash flow evolves over time. Set [TARGET_CAP_RATE] and [TARGET_COC] to define your buy criteria.

5

Review the deal evaluation output

Run the prompt in ChatGPT, Claude, Gemini, or the Dock Editor. Check the summary metrics table, review the multi-year projection, and read the buy, negotiate, or pass recommendation. Copy the formatted output into a spreadsheet for side-by-side deal comparison.

Who Uses Rental Property Analysis Spreadsheet

First-Time Investors

Evaluate your first rental property deal with a structured framework that walks through every income and expense category. The built-in benchmarks and deal evaluation section tell you whether the numbers make sense before you commit capital.

Portfolio Investors

Run side-by-side analysis on multiple properties using the same consistent template. Standardized metrics like cap rate, cash-on-cash return, and DSCR make it easy to rank deals and allocate capital to the strongest opportunities in your pipeline.

Real Estate Agents

Provide investor clients with a professional financial analysis alongside listing details. A complete spreadsheet covering income, expenses, and key metrics adds credibility and helps serious buyers move faster on deals that pencil out.

House Hackers

Analyze owner-occupied duplexes, triplexes, and fourplexes by adjusting [MONTHLY_RENT] to reflect only the units you plan to rent out. Pair this analysis with a rent vs. buy comparison to see how house hacking stacks up against traditional homeownership.

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