Your AI Navigator in Commercial Real Estate
Sign Up Successful!
You now have access to more from Realmo!
    Brokers
    • For Sale
    • For Lease
    • Recently Sold
    • Property Lookup
    • Brokers

    Gillus Blanchard, Copperas Cove, TX

    License ID: 0573256
    Connect Realty
    Years of Experience
    17
    Association
    Houston Association Of Realtors Inc

    Contact details

    Phone:
    (281) 292-3499
    Office Address:
    8665 New Trails Dr Ste Ste 125, Spring, TX, 77381

    Performance

    Listings
    4
    Total transactions
    111
    Total transactions amount
    $27M
    Price range
    $162k - 365k
    Average price
    $243k

    Listings

    For Sale (4)

    View map
    • $250,000

      Land For Sale

      Land available for purchase.
      15568 Republic Rnch Rd N, Willis, TX 77378
      View Details
    • $375,000

      Land For Sale Crosby, TX

      Land available for purchase in Crosby, Texas.
      Blanchard Dr, Crosby, TX 77532
      View Details
    • $6,980,000

      Hempstead Land For Sale

      Land available for purchase in Hempstead, Texas.
      290 Byp, Hempstead, TX 77445
      View Details
    • $6,980,000

      Hempstead Specialty Property For Sale

      Specialty property available for purchase in Hempstead, Texas.
      290 Byp, Hempstead, TX 77445
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

    View other agents
    in the same area
    Request Owner's contact information
    Gillus Blanchard, Copperas Cove, TX
    Message sent successfully
    Error
    If you are the owner or broker of this property and would like to edit or remove this listing please send a message to web site administrator.
    Message sent successfully
    Error
    Email to Your Friends
    Link copied to clipboard
    Separate multiple addresses with a comma
    Message sent successfully
    Error

    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.

    Send Message to
    Gillus Blanchard, Copperas Cove, TX
    Thanks! Your message was sent.
    Error! Your message wasn't sent.
    Please enter your name
    Please enter email
    Please enter the email in the correct format
    Please enter phone
    Please enter the number in the correct format
    Please enter message
    (281) 292-3499
    Google sign-in failed. Please try again or use another login method.
    Create New Password
    • At least 8 characters
    • Contains both letters and numbers
    • Contains uppercase and lowercase letters
    • At most 32 characters
    • Password required
    • Password reset link has expired. Please request a new one.