Reading a Loan Maturity Schedule for Risk and Opportunity
Maturity data is the most actionable dataset in commercial real estate, for lenders and for anyone hunting distressed opportunity.
Finance · 457 words · updated 2026-08-26
Every commercial mortgage has a date on which the balance comes due. Aggregated across a market, those dates form the single best forward indicator of forced transaction volume — and the single best prospecting list in the business.
What the schedule contains
A usable maturity record needs: property, lender, original balance, origination date, maturity date, coupon, rate type (fixed or floating), amortisation, current status, and — where available — the loan's original LTV and debt yield. From those you can derive everything that matters.
The refinancing test
For each loan approaching maturity, ask whether today's market supports today's balance:
- Estimate current NOI from in-place leases and market assumptions.
- Apply today's lending constraints — current rate, current amortisation, current debt-yield and DSCR requirements, current cap rate for the LTV test.
- Compare the resulting proceeds to the maturing balance.
A shortfall is a refinancing gap. It resolves one of four ways: the sponsor injects equity, the lender extends and modifies, the asset sells, or it goes to workout. All four are commercially interesting to somebody.
Where gaps cluster
- Loans originated in a low-rate window with long interest-only periods. No principal has amortised, so the balance meets today's constraints at full size.
- Assets with expiring leases inside the maturity window. Coverage is tested on rolled-down NOI.
- Floating-rate bridge loans on transitional business plans. Sized on a stabilised projection that higher rates and softer rents have invalidated.
- Property types where cap rates moved most. Value-based tests fail first where the yield shift was largest.
Using it commercially
- Lenders use it to target refinancing prospects 12–18 months ahead of maturity, when the borrower is still choosing rather than reacting.
- Brokers use it to time listing conversations — a maturity with a projected gap is the most reliable predictor of an owner deciding to sell.
- Investors use it to source off-market situations and to size the likely supply of distressed product by market and asset type.
- Appraisers and risk teams use the aggregate to stress-test portfolio concentration by vintage, lender and maturity year.
What the data will not tell you
Recorded mortgage data shows the loan; it rarely shows modifications, extension options already exercised, mezzanine debt or preferred equity sitting behind it, cross-collateralisation with other assets, or the sponsor's liquidity. A projected gap is a hypothesis to verify by conversation, not a conclusion. Treat maturity analytics as a prioritised call list, and confirm the specifics with the borrower or the servicer.
Building the view
Group by maturity year and lender type, then within each bucket sort by projected gap. Overlay lease expiries in the same window — the loans where a large expiry lands before maturity are where the two risks compound. That two-variable screen surfaces more real situations than any single-factor list.