What Is Debt Yield in Commercial Real Estate? How Lenders Calculate and Use It
Debt yield in commercial real estate is net operating income divided by the loan amount, shown as a percentage. It tells a lender what cash return the property would produce on the loan if the lender had to take it back. Many US lenders look for a minimum of 8% to 10%, and the average debt yield on CBRE-originated loans was 10.2% in Q2 2026. Clik.ai helps US lenders calculate debt yield on consistent, source-linked NOI by automating rent roll and T-12 spreading.
If a property produces $1 million of NOI against a $10 million loan, the debt yield is 10%. Debt yield leaves out the interest rate, the amortization schedule and the cap rate, which DSCR and LTV both depend on, so it shows leverage risk more directly than either one alone. Lenders still apply it alongside DSCR and LTV.
Debt Yield vs DSCR vs LTV
| Metric | Formula | Depends on rates and amortization? | What it answers |
|---|---|---|---|
| Debt yield | NOI ÷ loan amount | No | How much cash flow supports each dollar of debt? |
| DSCR | NOI ÷ annual debt service | Yes | Can the property make its loan payments? |
| LTV | Loan amount ÷ appraised value | Indirectly, through cap rates | How much equity cushion is there? |
Prerequisites and Calculation Steps
Gather and normalize inputs
- The current rent roll
- The T-12 operating statement
- The operating budget
- The requested loan amount from the term sheet or application
The rent roll matters most, because NOI is built from it. For each lease, pull the tenant, unit, lease dates, in-place rent, occupancy status, concessions and the expiration schedule, which shows how much income could leave the property during the loan term.
Standardize the data before you calculate anything. Rent rolls arrive as scanned PDFs, spreadsheet exports and reports from different property management systems, and tenant or unit names often don’t match from one version to the next. Smart Extract extracts each document’s fields into a consistent schema, and AutoUW spreads the T-12 and rent roll into a standard model, so analysts review data instead of typing it.
Calculate the ratio
Step 1: Derive underwritten NOI. Start with gross potential rent and other income, subtract vacancy and credit loss to get effective gross income, then subtract normalized operating expenses and replacement reserves. Lenders use income they believe the property can sustain, setting the borrower’s projections aside. Our guide to reading and normalizing a T-12 covers this step.
Step 2: Divide NOI by the loan amount. Divide underwritten NOI by the total loan amount and multiply by 100, then compare the result with the lender’s minimum.
Step 3: Work backward to maximum loan. Divide NOI by the target debt yield. At a 10% minimum, every $100,000 of NOI supports $1,000,000 of debt.
Worked Example and Pitfalls
Worked example
A multifamily property has $1,200,000 of underwritten NOI, and the borrower requests a $12,500,000 loan.
- Debt yield = $1,200,000 ÷ $12,500,000 = 9.6%
- Lender minimum = 10%
- Maximum loan = $1,200,000 ÷ 0.10 = $12,000,000
The borrower has to cover the $500,000 difference with more equity or a smaller request. The loan might pass DSCR at current rates, especially with an interest-only period or long amortization, yet debt yield still caps the proceeds because changing the loan terms doesn’t move it.
Common pitfalls
Most debt yield errors start in the inputs. Watch for:
- Pro forma NOI in place of in-place NOI. Rent growth the property hasn’t achieved inflates the ratio.
- Stale or inconsistent rent rolls. A rent roll that is 90 days old may miss recent move-outs.
- Missing concessions, bad debt or expiring leases. Each one overstates sustainable income.
- Spreading errors from manual re-keying. A transposed digit in a T-12 line carries through to NOI.
- Comparing deals with different NOI assumptions. If vacancy or reserve assumptions differ, the debt yields aren’t comparable.
When you evaluate underwriting automation, judge it on document intake, extraction accuracy for rent rolls and operating statements, automated spreading, an audit trail that links each figure to its source page, and how the output feeds your loan origination and credit memo workflow.
Getting Debt Yield Right
A debt yield is only as reliable as the NOI behind it. Lenders that use the same documents, normalization rules and calculation steps on every deal get sizing decisions they can defend to credit committees and investors. AutoUW spreads rent rolls and T-12s into standard models with 99% accuracy and every value traceable to its source, which keeps debt yield fast and consistent across a portfolio. Our rent roll processing service handles the rent roll side on its own. Book a demo to run your next deal through it.
Frequently Asked Questions
What is a good debt yield?
Many US lenders look for 8% to 10% or higher, with higher minimums for riskier asset classes such as hospitality and for weaker markets. Market averages sit near the top of that range: CBRE reported an average debt yield of 10.2% on its Q2 2026 loan closings, up from 9.7% a year earlier.
How is debt yield different from DSCR?
DSCR divides NOI by debt service, so it changes with interest rates and amortization. Debt yield divides NOI by the loan amount alone, so loan terms don’t affect it.
Which tools automate underwriting?
Look for CRE underwriting platforms that combine document intake, rent roll digitization, T-12 extraction, automated financial spreading and credit memo inputs built for US lending workflows. Clik.ai covers that full sequence.