What Is Weighted Average Lease Term (WALT)? (CRE Metrics)
Weighted Average Lease Term (WALT) is the average time left on a commercial property’s leases, weighted by a chosen measure such as rent or leased area. Analysts use it to describe how long lease commitments may support income. The result depends on the weighting method, measurement date, and treatment of tenant break rights, so those assumptions should always be stated.
For an investor, lender, owner, or tenant, the number can seem like a quick answer to a bigger question: how durable is the property’s rental income? WALT helps describe that picture, but it is not a guarantee that tenants will pay or stay. Like any sustainability measure, it is most useful when read with the details that support it.
I use WALT as a starting point, not a verdict. Two properties can report the same figure and still have very different leases, tenants, and risks. Below is a practical way to calculate the metric, state its assumptions, and understand what it can—and cannot—tell you.
What WALT measures and why CRE analysts use it
Weighted Average Lease Term summarizes the remaining lease duration across a commercial real estate (CRE) property or portfolio. “Weighted” means each lease counts according to a selected measure, such as its rent or the area it occupies. The result is usually shown in years and can help describe income duration.
A property with a longer WALT may have more lease time remaining before contractual expiries, depending on the method used. Owners and analysts may use it to compare properties, review a portfolio, or spot clusters of upcoming lease events.
But WALT is not a measure of rent collection, tenant strength, occupancy, or investment return. A tenant may have a long lease but weak finances. A lease may also end early if it includes a break right. So a high figure alone does not prove an income stream is secure.
The word “average” can also mislead. WALT does not mean every tenant has that much time left. One large lease can strongly affect the result, while several smaller leases may have much shorter terms. Always read the number alongside the lease schedule.
How to calculate WALT
The WALT formula multiplies each lease’s remaining term by its weight, adds those weighted terms, then divides by the total weight. In symbols: WALT = Σ(weightᵢ × remaining lease termᵢ) ÷ Σ(weightᵢ). Use the same weight basis and time convention for every lease included.
Here is a rent-weighted example. Assume three tenants have annual rents of $120,000, $80,000, and $200,000, with remaining terms of two, five, and eight years.
| Tenant | Annual rent used as weight | Remaining term | Weighted term |
|---|---|---|---|
| A | $120,000 | 2 years | 240,000 rent-years |
| B | $80,000 | 5 years | 400,000 rent-years |
| C | $200,000 | 8 years | 1,600,000 rent-years |
| Total | $400,000 | 2,240,000 rent-years |
Divide 2,240,000 by 400,000. The rent-weighted WALT is 5.6 years. The “rent-years” label is just a way to show the multiplication; the final answer is in years.
For a basic spreadsheet, enter each lease’s weight in one column and its remaining term in another. Multiply those columns for each row, then divide the sum of the products by the sum of the weights. Check that the final answer falls within the shortest and longest remaining terms in the dataset. If it does not, review the inputs or formula.
Choosing a weighting basis
The weighting basis answers a simple question: what makes one lease count more than another? Common choices are rent, leased area, or asset value. Each method answers a different question, so two correct calculations can produce different WALT figures.
| Weighting basis | What it emphasizes | Useful context |
|---|---|---|
| Passing or annualized rent | Leases contributing more rent count more | Income-focused portfolio analysis |
| Leased area | Larger occupied spaces count more | Space or occupancy analysis |
| Asset value | Leases linked to higher-value assets count more | Multi-asset portfolio analysis |
“Passing rent” generally refers to rent currently payable under a lease. “Annualized rent” expresses rent on an annual basis. Definitions and inputs can vary across reports, so name the exact measure used. Do not compare two WALT figures as if they use the same method until you confirm their weighting bases.
Set the time period and lease rules
Remaining lease term is the time from a stated measurement date to a chosen event, often the lease’s contractual expiry. A break-adjusted calculation may instead use a tenant’s break date. Because these choices can change WALT, disclose the date and endpoint.
Start with a clear measurement date, such as the date of a portfolio report. Calculate each lease’s remaining term from that date to the event you selected. If you use months or exact days, state how you convert them into years and apply that approach consistently.
A break clause gives a tenant, landlord, or both the right to end a lease before its scheduled expiry, subject to the lease’s terms. A calculation to expiry can therefore show a longer WALT than one that uses an upcoming tenant break date. Neither convention is universally required; the report should make its choice clear.
Also document which leases are included and how you handle:
- Vacant space: It has no current lease term. State whether it is excluded from the calculation or addressed separately.
- Rent-free periods: State whether the weighting uses current payable rent or another stated rent measure.
- Renewal options: A possible renewal is not the same as a term already in force. Explain whether it is excluded or included under a stated assumption.
- Signed leases that have not started: Say whether these are included, and how their terms and rent weights are measured.
There is no single universal WALT convention that resolves these choices for every report. Clear notes are essential: without them, a figure can look comparable when it is not.
Worked scenarios: why assumptions change the answer
These examples are illustrative calculations, not reports of actual properties. They show how a change in weighting or lease endpoint can alter the result while the underlying tenant list stays the same.
Scenario 1: Rent weight versus area weight. Use the three leases in the earlier table. Rent weighting gives 5.6 years. Now suppose the tenants occupy 1,000, 2,000, and 1,000 square feet. Area weighting gives (1,000 × 2 + 2,000 × 5 + 1,000 × 8) ÷ 4,000, or 5.0 years. The rent-weighted answer is higher because the tenant with the longest term also has the largest rent weight. The two answers are not contradictory; they summarize different things.
Scenario 2: Contractual expiry versus a break date. Suppose Tenant B can exercise a break after three years, and the analyst chooses to use that date for a break-adjusted calculation. The terms become two, three, and eight years. Keeping the rent weights unchanged gives (120,000 × 2 + 80,000 × 3 + 200,000 × 8) ÷ 400,000, or 5.2 years. This is lower than the 5.6-year figure to expiry. It does not mean the tenant will exercise the break; it shows the effect of the stated assumption.
Scenario 3: One large lease dominates. In the first example, Tenant C supplies half of total annual rent and has eight years left. That lease has a large effect on the result. If a report shows only the 5.6-year WALT, the short two-year term for Tenant A may be easy to miss. Review the lease-by-lease schedule as well as the average.
Check and interpret a reported WALT
A reliable calculation begins with lease-level data that matches the rent roll, the record of tenants, spaces, and rents. Gather expiry dates, relevant break dates, weights, and the measurement date. Then record the selected scope and assumptions before calculating.
Use this short review sequence:
- Reconcile the inputs: Check lease dates and rent amounts against the rent roll and lease records.
- Confirm the method: Note the weight basis, endpoint, included leases, and treatment of options or rent-free periods.
- Test the calculation: Verify total weights, weighted-term products, and the final division. Compare the result with the shortest and longest included terms.
- Compare alternatives: If a break date or another reasonable weight basis could matter, calculate a second version and label it clearly.
- Read the rest of the risk picture: Review tenant concentration, arrears, vacancy, rent reviews, upcoming expiries, and rents compared with the market.
“Tenant concentration” means how much of a property’s rent or area depends on a small number of tenants. A high WALT paired with heavy reliance on one tenant can tell a different story from the same WALT spread across many tenants. Arrears—rent that is overdue—also matter, but WALT does not show them.
Rent reviews can change the amount payable without changing the lease’s expiry date. Market-rent analysis helps assess whether current rents are above, near, or below relevant market levels. WALT does not answer those questions, so use it alongside the measures that do.
Applying WALT in CRE analysis and reporting
WALT can help frame lease rollover risk: the possibility that leases expire, tenants leave, or rents change over time. It can support portfolio comparisons and help flag when further review is needed. It should not be treated as a forecast of renewal, rent growth, collection, or property value.
For a useful report, show the WALT figure with its weighting basis, measurement date, lease endpoint, scope, and key exclusions. If a break-adjusted result is material, report it beside the expiry-based result rather than leaving readers to guess. Keep the lease-level schedule available so readers can see which leases drive the average.
When comparing assets, check that their conventions match. If they do not, recalculate from the lease-level data using one consistent method where possible. If that data is unavailable, explain the limits of the comparison rather than presenting the figures as directly equivalent.
The practical takeaway is simple: WALT describes weighted time remaining, not overall lease quality. Use it to ask better questions about expiries and income duration, then answer those questions with tenant, rent, and market data.
WALT FAQs
What does WALT stand for in commercial real estate?
WALT stands for Weighted Average Lease Term. It summarizes the remaining duration of leases, weighted by a stated measure such as rent or leased area.
How do you calculate WALT?
Multiply each lease’s remaining term by its weight, add the products, then divide by the total weight. State the weight basis and time convention.
What is a good WALT for a commercial property?
There is no single good figure for every property. Its meaning depends on the lease schedule, tenant mix, break rights, market, and calculation method.
Is WALT measured in years?
Usually, yes. Reports commonly express the result in years, but should explain how they treat partial years if that affects comparison.
Is rent-weighted WALT better than area-weighted WALT?
Neither is universally better. Rent weighting emphasizes leases contributing more rent; area weighting emphasizes larger spaces. Choose the method that fits the analysis and disclose it.
Does WALT include tenant break options?
It depends on the stated method. A calculation to contractual expiry may differ from one that uses a tenant break date. Check the report’s convention.
Does a longer WALT mean lower risk?
Not by itself. WALT does not show whether tenants can pay, whether rents are competitive, or whether income is concentrated in a few tenants.
Are renewal options included in WALT?
There is no universal treatment. Reports should say whether possible renewals are excluded or included under a stated assumption.
Can vacant space affect WALT?
Yes, depending on how the calculation defines its scope. A report should state whether vacant space is excluded and show vacancy separately where relevant.
Why do two reports show different WALT figures for the same property?
They may use different weighting bases, measurement dates, lease endpoints, or rules for options, vacancies, and leases not yet started. Compare the assumptions before comparing the results.
(This article was written by one of our staff writers, Nathan Sterling. Visit our Meet the Team page.)
