Make unlike costs comparable.
Translate multiple recurring expense layers into annual cost and cost per square foot.
UseApples-to-apples
Compare / Economic choice
Same business. Different address.
Two addresses. One economic decision.
Most property tools tell you what a place is. ExpenseIntel is designed to tell you what choosing that place means financially — using the same normalized cost framework for both locations.
01 / Run a comparison
Compare the cost that survives the lease.
Enter two candidate locations. The current public tool uses a deterministic illustrative model so you can experience the workflow; it does not yet call live utility, tax or insurance data.
Option A
First location
Option B
Second location
Illustrative preview only. A production comparison should use live address-resolved utility, tax and other cost inputs, with timestamps and confidence labels.
Option A
Annual modeled cost
Cost / ft²
36-mo projected
Risk score
Electricity
Property tax layer
vs.
Option B
Annual modeled cost
Cost / ft²
36-mo projected
Risk score
Electricity
Property tax layer
Modeled annual difference
02 / Why it matters
A cheaper lease can still be the more expensive location.
Rent is only one line in the economics of occupying a property. Utility tariffs, taxes, insurance exposure, waste and service constraints can create a persistent difference that compounds year after year.
See the gap before it compounds.
Compare current modeled cost and the forward path instead of relying on a one-year snapshot.
Use36-month view
Know why one location wins.
Show which cost layers create the difference so the decision is actionable rather than mysterious.
UseDriver-level detail
03 / Comparison outputs
The answer should fit on one decision page.
ExpenseIntel is not trying to bury users in property trivia. A comparison is useful when it compresses the relevant cost evidence into a small number of decision-ready outputs.
Annual operating cost
The headline recurring cost estimate for each location.
Forecast logic →Cost per square foot
Normalize different sizes so users can compare economics rather than raw totals.
Data inputs →Expense risk score
Summarize forward pressure without hiding the underlying drivers.
Risk method →Modeled savings gap
Translate the difference into annual dollars so the choice has financial meaning.
Decision reports →Deeper analysis