Revenue and Calc
Edit capacity, occupancy, unit mix, and yearly rents. Calc allocates occupied apartment-months once across the five streams.
The Rental Property Financial Model is an Excel financial projections template for a long-term residential apartment portfolio. It links available apartments, occupancy, unit mix, and monthly net rent to revenue, operating expenses, and management reports for 2026 through 2030.
The illustrated case is an owner-operated 24-unit low-rise property in Columbus, Ohio, with five apartment categories and an all-equity acquisition. Its rents are an estimated planning case set 15% above a frozen baseline, not independently verified market rates.
The workbook links property assumptions, monthly calculations, financial statements, and investment reports.
Edit capacity, occupancy, unit mix, and yearly rents. Calc allocates occupied apartment-months once across the five streams.
Plan repairs, turnover, uncollectible rent, fixed expenses, and manager staffing, with direct trades excluded from payroll.
Track acquisition, improvements, equipment, equity, and optional debt. Schedules distinguish investment, funding, repayments, and depreciation.
Use IS, CF, and BS for earnings, cash movement, and financial position. Summary and Dashboard consolidate reporting.
Compare Low, Base, and High cases, evaluate break-even and payback, and review checks, valuation, ratios, and benchmarks.
Revenue equals occupied apartment-months multiplied by category-specific monthly net rent, using one 24-apartment capacity pool.
In 2026, the model uses 90% occupancy, or an average of 21.6 occupied apartments per active month. Occupancy moves to 92% in 2027, 93% in 2028, and 94% in both 2029 and 2030, without monthly seasonality.
Studio and three-bedroom units each receive 12.5% of occupied apartment-months. Standard one-bedroom, renovated one-bedroom, and two-bedroom units each receive 25%, so the five revenue categories allocate the same capacity rather than duplicating units.
The Revenue Forecast shows the apartment count, yearly occupancy, category mix, and editable net rents. Revenue and Calc translate those inputs into monthly category revenue, counting the full January 2026 launch month rather than prorating the January 31 launch date.
24 available apartments × 90% occupied × 12 months = 259.2 occupied apartment-months.
| Apartment type | Occupied mix | Monthly net rent |
|---|---|---|
| Studio | 12.5% | $1,208 |
| Standard one-bedroom | 25% | $1,438 |
| Renovated one-bedroom | 25% | $1,610 |
| Two-bedroom | 25% | $1,840 |
| Three-bedroom | 12.5% | $2,185 |
Estimated user planning case; rents include the 15% uplift and are rounded to whole dollars.
All five net rents are 15% above the frozen baseline in each forecast year, with the original approximately 3% yearly increases retained. The uplift is a planning assumption, not a new market observation; signed and renewed leases must support the applied rates.
The model combines revenue-linked repair and leasing costs with monthly fixed budgets and a separate property-manager payroll schedule.
Direct costs are 10% of revenue: 2.61% materials, 5.22% trade repairs, and 2.17% turnover cleaning. Variable expenses add 3% for leasing and screening, bad debt, and payment or document fees.
The COGS and Operating Expenses forecast separates direct repairs, variable leasing expenses, and fixed overhead. Fixed items include property taxes, insurance, utilities, grounds services, software, professional fees, telecommunications, and inspections.
Fixed expenses rise from $119,400 in 2026 to $134,386 in 2030. Monthly property taxes increase from $5,000 to approximately $5,628.
The Payroll Forecast uses role-level FTE and compensation for the property manager. Maintenance trades already included in direct costs remain outside payroll.
At 0.35 FTE and $70,000 annual pay per full-time manager, payroll is $24,500 yearly. Employer payroll taxes and benefits are excluded from this illustrative case.
Startup assets and preopening cash requirements are modeled separately from yearly rental operating expenses and EBITDA.
Owner equity funds the $2,688,545 opening requirement without borrowing: $2,212,000 startup assets, $421,500 other preopening cash, approximately $6,271 working capital, and $48,774 as a three-month reserve.
The Capital Expenditure Plan schedules acquisition, durable improvements, appliances, and equipment. Its spending and depreciation schedules keep capital investments distinct from recurring rental operating expenses.
Assets include $2,050,000 for the building and closing, $120,000 improvements, $36,000 appliances, and $6,000 tools and IT. Separate preopening uses cover land-related costs, setup, marketing, deposits, and registrations.
The Sources and Uses of Funds report reconciles equity, operating receipts, investing payments, and retained cash. The case is owner-funded; Dashboard debt controls support alternative financing.
Five receivables days, zero payables days, and four inventory days are timing inputs, not evidence that the planned reserve will be sufficient.
The selected higher-rent scenario projects increasing revenue and EBITDA across the 2026–2030 forecast while the apartment count remains unchanged.
| Year | Revenue | Operating expenses | EBITDA |
|---|---|---|---|
| 2026 | $426,627 | $199,362 | $227,265 |
| 2027 | $449,191 | $205,877 | $243,314 |
| 2028 | $467,695 | $211,972 | $255,723 |
| 2029 | $486,906 | $218,269 | $268,637 |
| 2030 | $501,513 | $224,082 | $277,431 |
Estimated scenario outputs; amounts are rounded to the nearest dollar, and displayed subtotals may differ slightly.
These figures are financial projections, not observed operating results. By 2030, the illustrative $501,513 revenue and $277,431 EBITDA imply a 55.32% EBITDA margin before depreciation, interest, and income tax.
Compared with the frozen 2030 baseline, rent uplift raises projected revenue from $436,098 to $501,513, or 15%. Expenses move from $223,428 to $224,082, and EBITDA rises from $212,670 to $277,431, with units, occupancy, mix, and staffing held constant.
The Cash Flow Forecast reports operating, investing, and financing cash movements and reconciles opening to closing cash. It can show how rent collections, acquisition spending, owner funding, and any modeled debt activity differ from operating EBITDA.
The Returns and related reports support distinct tests of operating break-even, cash recovery, and investment performance.
Sales break-even asks what rental revenue covers the modeled cost structure; cash break-even tests when cumulative cash flows turn positive. Investment payback evaluates recovery of invested cash, while annual return on invested capital compares operating returns with investment capital.
The Break-Even, Payback and ROIC report tracks required revenue, cumulative project cash flow, investment recovery, and annual return on invested capital. These are different calculations and cannot be inferred from the $277,431 projected 2030 EBITDA figure alone.
Dashboard Scenario Controls apply Low, Base, and High multipliers to revenue, cost of goods sold, operating expenses, and payroll. Valuation uses discounted unlevered cash flow and terminal assumptions; neither a payback month nor a valuation amount is established by this page brief.
It is designed for owners, buyers, and analysts comparing rental operations, acquisition funding, and investment outcomes.
Replace the illustrative 24-unit Columbus assumptions with a prospective property’s unit mix, rent roll, occupancy plan, repair expenses, acquisition costs, and funding structure. Use resulting statements, scenario views, and model checks to challenge the assumptions before relying on a decision.
The higher-rent case is optimistic, not proof of market rents, lease eligibility for increases, cash returns, or loan approval. Verify leases, property condition, taxes, insurance, and financing independently.
The answers below clarify editable inputs, scenario limitations, and what the financial reports can assess.
Yes. Adjust available units and the five category allocations in Revenue; the forecast distributes occupied apartment-months across the updated mix.
No. It is an estimated optimistic planning scenario above a frozen baseline, not a confirmed market rent or a guarantee that existing leases allow increases.
Year-specific occupancy percentages reduce the available apartment-months before rental rates are applied. The illustrated occupancy rises from 90% to 94% over the forecast.
Yes. Materials, outside trades, and turnover cleaning belong to direct costs; the 0.35-FTE property manager is calculated separately in Payroll.
No. Its opening funding is entirely owner equity. The Dashboard includes debt controls for modeling different financing assumptions.
No. EBITDA excludes depreciation, interest, and income tax, and does not measure cash movements. The supplied case does not verify after-tax earnings or liquidity.
The Returns worksheet includes investment payback and annual ROIC calculations, but the provided case does not establish their numerical results.
KPIs, forecasts, and cash flow at a glance.
Key assumptions and calculations driving revenue forecasts.
Funding sources, spending, and closing cash.
Cash break-even, payback, and ROIC.
DCF valuation and sensitivity analysis.
Largest costs and spending trends.
Annual and monthly financial performance.
Compare margins and returns to benchmarks.
This template made profitability easy to see. I could spot break-even and margin pressure in one afternoon instead of guessing through messy tabs, which made my lender call much easier.
I’m not an Excel expert, and this model kept me moving. The inputs were clear, the formulas were already set, and I finished my first rental forecast in under two hours.
I kept putting off the model because starting from scratch felt like a lot. This template gave me a clean place to begin, and I had a usable draft ready before the day was over.