Debt Coverage Ratio
Understand the debt coverage ratio (DCR) in Canadian real estate — what it measures, why it matters, and how lenders use it.
August 08, 2025
What is the Debt Coverage Ratio?
The debt coverage ratio (DCR) measures a property's ability to generate enough net operating income to cover its debt obligations.
Why the Debt Coverage Ratio Matters in Real Estate
In Canadian commercial real estate financing, DCR is a key metric lenders use to assess risk.
Key points:
- Calculated as Net Operating Income ÷ Debt Service
- A DCR above 1.0 indicates sufficient income to cover debt
- Lenders typically require a minimum DCR (e.g., 1.2–1.4)
Understanding DCR helps investors manage leverage and maintain strong property cash flow.
Example of the Debt Coverage Ratio in Action
The lender approved the mortgage because the property had a debt coverage ratio of 1.3, exceeding the minimum requirement.
Key Takeaways
- Indicates property’s ability to cover debt payments
- Higher ratios reduce lender risk
- Calculated using net operating income and debt service
- Critical metric for commercial mortgage approvals
- Helps investors monitor property performance
Related Terms
- Debt Service Ratios
- Net Operating Income
- Loan-to-Value Ratio (LTV)
- Capitalization Rate
- Mortgage Qualification
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6525 Mississauga Road and its surrounding context. (RBC Capital Markets & CBRE)
Property details for 6525 Mississauga Road. (RBC Capital Markets & CBRE)
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Trailing 12-month starts in centres of 50,000 or more remove the usual monthly seasonality. Ownership combines the homeowner and condominium categories; rental is shown separately.
Six-month averages of provincial starts, expressed at annual rates. The smoothing reduces the influence of individual apartment projects.
The same August benchmark compared with two different starting points. Three-month changes are not annualized.
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Newfoundland and Labrador remains above its pre-pandemic sales pattern, but August activity was below last year. Historical lines retain their original release vintages.
Average and median describe different aspects of the same month’s transactions. Both are affected by the mix of homes sold.
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The five categories shown account for 5,000 of the board’s 5,057 sales. The remaining 57 transactions were in other housing categories.
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