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    283 Orange Ave Chula Vista, CA 91911

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    For Sale
    $4,445,000

    Newly constructed, single tenant, NNN leased Starbucks Drive Thru.

    Property size:
    1,129 SF
    Lot size:
    1.44 Acres

    Property Features for 283 Orange Ave

    General Information

    Size
    1,129 SF
    Lot size
    1.44 Acres

    Source: Faris Lee Investments Agent Shaun Riley

    Displayed information is deemed reliable but is not guaranteed and should be independently verified.

    Overview

    Single Tenant Starbucks Drive Thru

    This is a newly constructed, single tenant retail property. The property is NNN leased to Starbucks and features a drive-thru. The building has a size of 1129 square feet. The property is located on a signalized corner.
    Insight Report Location Intelligence

    Current Use by Public Records

    Starbucks Internet Cafe

    Suggested Use

    Realty agency Law Firm Restaurant Spa & Massage Dental Office Hair Salon Nail Salon Clothing Store Building Supply Gym & Fitness

    Zoning and permitted uses should be independently verified with local authorities.

    Similar Places Nearby

    Smoke, Main & Melrose, Chango Mango, Starbucks

    Location Insight

    • Map
    • Local Demand
    City
    Chula Vista
    County
    San Diego
    State
    California
    Longitude
    -117.040489
    Latitude
    32.6053447

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    FAQs

    What type of property is this?
    Coffee shop - Newly constructed, single tenant, NNN leased Starbucks Drive Thru.
    Where is this coffee shop located?
    The property is located at 283 Orange Ave Chula Vista, CA.
    What is the asking price?
    The asking price for this property is $4,445,000.
    What are key features of this property?
    This property features: - Newly constructed property; - **Signalized corner location**; - Single tenant
    (949) 221-1807
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    283 Orange Ave Chula Vista, CA 91911
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    Chula Vista, CA 91911
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    Realmo Value Estimation

    Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods. 

    Disclaimer

    These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.

    Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.

    By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.

    AI approach

    Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.

    Cap approach

    Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.

    Comparable approach

    Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.

    Relative

    Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.

    Geo

    Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.

    Alternative use

    Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.

    More about this property
    283 Orange Ave Chula Vista, CA 91911
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