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    5930 Ingalls St Arvada, CO 80003

    For Lease
    Contact for pricing

    Warehouse with secured yard area and new office finish.

    Property size:
    4,681 SF
    Lot size:
    0.78 Acres

    Property Features for 5930 Ingalls St

    General Information

    Size
    4,681 SF
    Lot size
    0.78 Acres

    Source: Colliers - Denver Agent Nicholas Nasharr

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

    Overview

    West Denver Warehouse Unit

    This property features a 4,681 square foot warehouse unit with a secured yard area exceeding 1,500 square feet. The warehouse includes a new office finish and is whiteboxed. It is located in West Denver.
    Property Profile Insight Report Location Intelligence

    Current Use by Public Records

    Dog Dynamix Dog Trainer Hail Inc Auto Body Shop Eden Oaks Designer ... Woodworker

    Suggested Use

    Restaurant Realty agency Law Firm Building Supply Spa & Massage Dental Office Wholesale Shop Hair Salon Auto Repair Shop Clothing Store

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

    Similar Places Nearby

    Life Storage, Public Storage, Affordable Self Storage Unit, Packing House Self Storage Westminster CO

    Location Insight

    • Map
    • Local Demand
    City
    Arvada
    County
    Jefferson
    State
    Colorado
    Longitude
    -105.0631189
    Latitude
    39.8045973

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    FAQs

    What type of property is this?
    Warehouse - Warehouse with secured yard area and new office finish.
    Where is this warehouse located?
    The property is located at 5930 Ingalls St Arvada, CO.
    What are key features of this property?
    This property features: - Rare small-bay West Denver warehouse unit; - New office finish; - Ideally configured office finish
    (303) 745-5800
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    5930 Ingalls St Arvada, CO 80003
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    Arvada, CO 80003
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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
    5930 Ingalls St Arvada, CO 80003
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