Commercial Real Estate Lease Analysis Software: What Your Portfolio Data Should Be Able to Answer

What is commercial real estate lease analysis software?

Commercial real estate lease analysis software takes structured information from leases and uses it to answer questions across a property or portfolio.

The analysis layer may support:

• lease expiration schedules;
• rollover exposure;
• WALT;
• rent roll analysis;
• contractual escalation forecasts;
• renewal and termination exposure;
• occupancy-cost analysis;
• concentration analysis;
• portfolio dashboards;
• tenant comparisons; and
• contractual risk reporting.

This is different from lease abstraction software, which creates the structured data, and lease administration software, which manages recurring obligations and events.

The analysis layer assumes the data already exists.

Current CRE platforms illustrate that distinction. MRI describes portfolio data such as rent roll, inventory, charges, and lease options feeding views of rollover risk, vacancy exposure, and available space. Yardi similarly describes current tenant and lease data—including rent schedules, options, clauses, and expenses—as inputs to reporting and deal analysis.

For the full commercial software stack, see the commercial lease management software guide.

How should you analyze lease expirations and rollover exposure?

Expiration analysis should show more than how many leases terminate in a given year.

A useful expiration schedule combines lease count with the economic and physical exposure tied to those leases.

Public CRE filings commonly present lease-expiration schedules with fields such as:

• number of leases expiring;
• occupied square footage expiring;
• annualized base rent expiring;
• percentage of total annualized base rent; and
• expiration year.

For example, Wheeler Real Estate Investment Trust’s 2026 supplemental reporting breaks its expiration schedule into lease count, occupied square footage, annualized base rent, and percentage of total annualized base rent by period.

That illustrates an important analytical point:

Lease count is not the same as lease exposure.

Ten small leases expiring in one year may matter less economically than one major tenant expiring in another.

What WALT adds

Weighted Average Lease Term (WALT) compresses remaining lease duration into one portfolio measure using a defined weighting basis.

Peakstone Realty Trust, for example, defines its WALT as the weighted average remaining lease term based on annualized base rent, excluding unexercised renewal options and early termination rights.

That methodology is company-specific, which is why lease-analysis software should make its weighting logic explicit.

A useful portfolio view therefore includes both:

A portfolio can have a respectable average lease term while still having a concentrated expiration year.

What does escalation and income forecasting require?

Contractual income forecasting requires the lease to be abstracted at the level of the escalation rule.

There are several common structures.

Stepped rent

The lease specifies known rent amounts or scheduled increases. Required fields include:

• period start;
• period end;
• contractual amount;
• unit basis;
• frequency; and
• applicable premises.

Percentage increases

The lease applies a stated increase to a prior amount. Required fields include:

• current amount;
• percentage;
• effective date;
• frequency; and
• applicable rounding or calculation rules.

Indexed escalation

The rent depends on an external index or formula. Required fields may include:

• named index;
• base period;
• comparison period;
• adjustment date;
• floor;
• cap; and
• calculation method.

The shortcut that breaks forecasting is:

Escalation: Annual CPI

That may be readable to a person, but it does not necessarily contain enough structure for a model to calculate future rent.

MRI’s current budgeting and forecasting product documentation reflects this dependency: its forecasting workflows use detailed leasing assumptions such as renewals, expirations, rent steps, escalations, and recovery charges.

Forecasting requires the rule, not merely the fact that an escalation exists.

How should lease analysis software flag contractual risk?

Lease analysis can surface rights that create future optionality for the tenant or constraints for the owner. Examples include:

• termination rights;
• contraction rights;
• co-tenancy;
• exclusivity;
• recapture rights;
• renewal options;
• assignment rights;
• going-dark provisions; and
• other conditional rights.

The important analytical distinction is between presence and exposure.

Take a termination right.

Termination Right: Yes

does not answer:

• When can it be exercised?
• How much notice is required?
• Is there a fee?
• What conditions must be satisfied?
• Which portion of the premises is affected?
• How much contractual rent is exposed?

The same problem appears with co-tenancy. Knowing the clause exists is different from knowing:

• the trigger;
• required occupancy threshold;
• named co-tenants;
• cure period;
• rent remedy; and
• termination remedy.

Risk analysis requires clause mechanics, not clause labels.

Once those mechanics are structured, the portfolio can be filtered for actual exposure rather than merely the existence of certain provisions.