Understanding Cost Per Unit & Cost Per Foot: Key Metrics for Valuing Multifamily Apartment Buildings
- jaredlevine

- Nov 25, 2025
- 3 min read
When owners begin evaluating the value of a multifamily property in Los Angeles, two essential pricing metrics often come up early in the conversation: Cost Per Unit (CPU) and Cost Per Foot (CPF).
These metrics are simple, highly comparable across neighborhoods, and widely used by investors, appraisers, buyers, and brokers to benchmark pricing and understand how a property stacks up against recent sales.
While CPU and CPF are not the only valuation tools investors rely on, they are two of the most important starting points—especially in a market as segmented and neighborhood-specific as Los Angeles County.
What Is Cost Per Unit (CPU)?
Cost Per Unit measures the price of a building divided by the number of units.It is one of the fastest ways investors compare apartment buildings of different sizes and locations.
Formula
Cost Per Unit = Sale Price ÷ Number of Units
Example:
A 10-unit building selling for $3,500,000:
$3,500,000 ÷ 10 = $350,000 per unit
This allows buyers to immediately compare your property to all other “per-door” sales in the area.
Why Cost Per Unit Matters
Investors rely on CPU because it helps them understand:
Affordability per unit
Neighborhood market levels
Degree of rent control or income restrictions
Whether the price is aligned with similar buildings
Value-add potential on a per-unit basis
In Los Angeles, CPU varies dramatically based on:
Neighborhood
Parking availability
Building age
ADU potential
Condition of interiors
RSO/AB1482 restrictions
Vacancy and loss-to-lease
Unit mix (Studios vs. 1+1 vs. 2+2 vs. Town home units)
What Is Cost Per Foot (CPF)?
Cost Per Foot (also called Price Per Square Foot) measures the price of a building relative to its total square footage.
Formula
Cost Per Foot = Sale Price ÷ Building Square Footage
Example:
A 7,200 SF building selling for $3,456,000:
$3,456,000 ÷ 7,200 SF = $480 per foot
Why Cost Per Foot Matters
CPF offers insight into:
Replacement cost vs. purchase price
Building quality and construction type
Renovation levels
Neighborhood demand
Whether the pricing aligns with local comps
While CPU looks at value per door, CPF looks at value per square foot, which matters to investors analyzing:
Larger unit sizes
Town home layouts
Newer construction
Buildings with upgraded interiors
CPU vs. CPF: How They Work Together
These metrics provide different—but complementary—insights:
Metric | Measures | Best For |
Cost Per Unit (CPU) | Price per door | Neighborhood comparisons & quick pricing benchmarks |
Cost Per Foot (CPF) | Price per square foot | Understanding building quality, renovations, and construction value |
Smart buyers look at both when deciding whether a listing price is fair.
Limitations of CPU and CPF
While valuable, these metrics do not factor in:
Net operating income
Expenses or utility obligations
Rent control restrictions
Deferred maintenance
Value-add potential
Vacancy
Cap rate
GRM
Cash-on-cash return
This is why investors also consider Cap Rate, GRM, NOI, rental upside, and market-specific dynamics.
What CPU and CPF Mean for Your Property’s Value
When owners request an evaluation, our team at JML Real Estate Group looks at:
CPU & CPF of recently sold comps
Active listings (adjusted for unrealistic pricing)
Unit mix and tenant profiles
ADU potential
Rent control status
True vs. pro-forma income
Neighborhood demand
Renovation quality
Local investor trends
This creates a complete, accurate valuation—one that reflects what buyers are actually paying right now.
Thinking About Selling Your Apartment Building in Los Angeles?
Understanding Cost Per Unit and Cost Per Foot is one of the most important steps in determining your building’s true market value.
If you'd like:
A confidential property valuation
A pricing strategy based on real comps
Expected CPU, CPF, GRM, and Cap Rate
Guidance on timing the market
An honest breakdown of what your building would sell for today
My team and I would be happy to assist.
No obligation. No pressure. Just clear data and expert insights.




Comments