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

    Brian Stamness, San Antonio, TX

    License ID: 0700794
    Years of Experience
    5
    Association
    San Antonio Board Of Realtors Inc

    Service Locations

    Contact details

    Phone:
    (210) 232-7381
    Office Address:
    14855 Blanco Rd, Ste 403, San Antonio, TX

    Property Types

    • Residential

    Performance

    Listings
    2
    Total transactions
    8
    Total transactions amount
    $1M
    Price range
    $83k - 188k
    Average price
    $125k

    Listings

    For Sale (2)

    View map
    • $3,600,000
      4,550 SF

      Texas Hill Country Redevelopment Opportunity

      Versatile 60-acre property near Fredericksburg, TX with redevelopment potential.
      1213 Kott Rd, Fredericksburg, TX 78624
      View Details
    • $3,600,000

      Texas Hill Country Redevelopment Opportunity

      60-acre property near Fredericksburg, TX, ideal for hospitality or winery.
      1213 Kott Rd Rd, Fredericksburg, TX 78624
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

    Web Page
    View other agents
    in the same area
    Request Owner's contact information
    Brian Stamness, San Antonio, 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
    Brian Stamness, San Antonio, 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
    (210) 232-7381
    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.