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rental property underwriting model
Build transparent rental property underwriting models including NOI, DSCR, and cash-on-cash return analysis.
Free
rental property underwriting model
Example session with this skill installed
Underwrite a $2.5M multi-family property. Rents: $18k/mo. OpEx: $72k/yr. Loan: 70% LTV, 6.5% interest, 25yr am. 3% vacancy. Calculate NOI, DSCR, and Year 1 Cash-on-Cash.
- Read your context and instructions
- Compiled the rental property underwriting
I have reconciled the provided property data and financing terms to build the Year 1 underwriting model. The analysis separates operating performance from debt obligations to determine net cash flow.
Rental Underwriting Model
1. Operating Income & Expenses
| Category | Annual Amount | Monthly | % of EGI |
|---|---|---|---|
| Potential Rental Income (PRI) | $216,000 | $18,000 | 102.8% |
| Vacancy Allowance (3%) | ($6,480) | ($540) | -3.0% |
| Effective Gross Income (EGI) | $209,520 | $17,460 | 100.0% |
| Operating Expenses (OpEx) | ($72,000) | ($6,000) | -34.4% |
| Net Operating Income (NOI) | $137,520 | $11,460 | 65.6% |
2. Financing & Investment Basis
| Metric | Value |
|---|---|
| Purchase Price | $2,500,000 |
| Loan Amount (70% LTV) | $1,750,000 |
| Equity Investment (Down Payment) | $750,000 |
| Annual Debt Service (P&I) | ($141,804) |
| Debt Service Coverage Ratio (DSCR) | 0.97 |
3. Returns & Feasibility
| Performance Metric | Result |
|---|---|
| Purchase Cap Rate | 5.50% |
| Net Cash Flow (After Debt) | ($4,284) |
| Cash-on-Cash (CoC) Return | -0.57% |
Observations:
- Funding Gap: The current DSCR of 0.97 is below the typical lender requirement of 1.20+.
Negative Leverage: The 6.5% mortgage interest rate is higher than the 5.5% cap rate, resulting in negative cash flow.
Unknowns: Acquisition costs (closing, legal, inspection) and capital reserves were not provided and are excluded from the investment basis.
Next steps
- Review the Rent Roll to see if market rents support a PRI increase above $18k/mo.
- Evaluate a larger down payment (e.g., 40%) to bring DSCR above the 1.20 threshold.
- Provide property tax assessment data to verify if the $72k OpEx includes post-sale tax adjustments.
Connects securely to your tools. The creator never sees your data.
About this skill
Real estate developers and investors often struggle with opaque spreadsheets that hide critical risks or rely on unverified assumptions. This skill converts raw property data into a transparent, auditable underwriting model for rental assets. It reconciles actual income and expenses with financing terms to produce a complete picture of Net Operating Income (NOI), debt coverage, and cash flow.
What it does
- Income & Expense Reconciliation builds schedules from rent rolls, occupancy evidence, and historical operating data.
- Debt Service Analysis calculates DSCR, loan-to-value ratios, and interest impacts on equity cash flow.
- Hold/Exit Modeling projects net exit proceeds and investment basis over a defined hold period.
- Sensitivity Testing delivers downside scenarios and identifies funding gaps based on explicit growth assumptions.
- Evidence-Based Reporting labels material unknowns and separates confirmed records from modeled assumptions.
How it works
- Supply property data including price, rents, expenses, loan terms, and acquisition costs.
- The skill reconciles the periods represented and builds a separated income/expense and financing model.
- It calculates core metrics like cap rate, cash-on-cash return, and debt service coverage.
- You receive an auditable breakdown of cash flow, investment basis, and exit proceeds.
Frameworks & tools
This skill is framework-agnostic and works with raw text, CSV data, or property records. It produces Markdown tables or editable artifacts if file creation tools are enabled in your agent environment.
Why this beats prompting it yourself
Standard prompts often hallucinate market data or fail to separate capital costs from operating expenses. This skill follows a rigorous accounting workflow that reconciles reporting periods and forces explicit labeling of unknowns to prevent bad investment decisions.
Use cases
- Acquisition Due Diligence to verify a seller's Pro Forma against actual historical records.
- Lender Preparation to generate DSCR and NOI metrics for commercial loan applications.
- Portfolio Stress-Testing to model how vacancy or interest rate changes impact cash-on-cash returns.
Known limitations
Does not provide professional tax or legal advice. Requires users to supply specific loan terms and growth assumptions for accurate projections. Cannot verify off-chain local zoning laws.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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