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    Property profile & analytics

    2690 Dublin Granville Rd Columbus, OH 43235-2711

    • Office buildings
    • 5,156 SF
    • 1.53 lot acres
    OFF-MARKET
    Value Estimation
    $450,000
    Location Intelligence
    Property ID
    US66-1586045
    The Realmo ID is a unique identifier assigned to every property, incorporating country codes and precise geo-coordinates for 300x300-foot land blocks. It enables standardized data collection and seamless integration of disparate sources such as ownership, tax, title data and physical specifications. By aggregating current and historical records, the Realmo ID powers advanced analytics and delivers deep, verifiable insights for real estate professionals.

    Current Use by Public Records

    • Smirniotopoulos Photography / Portrait Studio

    Property Details for 2690 Dublin Granville Rd

    Year built
    1920
    Lot size
    1.53 lot acres
    Property size
    5,156 SF
    Property type
    Office buildings
    APN
    610-262403
    APU
    610262403

    Description

    This Columbus, Ohio creative office building, located at 2690 W Dublin Granville Rd (cross streets: W Dublin Granville Rd and Nicholas Dr), offers 5,156 square feet of space in a single-story, Class B building constructed in 1920. Situated on a 1.54-acre lot in the North submarket (Bethel Rd cluster), this Franklin County property (APN 610-262403-00) is zoned LC2. The building features multiple tenancies and provides a variety of workspace options, including private offices, loft spaces, and open work areas. Shared amenities include a kitchenette and restrooms. The property boasts convenient access to Sawmill Road and SR 315, and offers ample parking. Overlooking the Brookside Country Club, this recently renovated building presents a unique opportunity for design professionals or businesses seeking a historic yet modern workspace. The property's location in the desirable Bethel Road submarket provides excellent visibility and accessibility. This is a single building on a sizable lot, offering potential for future expansion or redevelopment.

    Value Estimation

    by Realmo proprietary methodology Last update: July 3, 2025

    • AI approach

      CAP return
      Estimation
      Estimation
      $415,000

    • CAP approach

      CAP return
      Estimation
      6%
      $610,000
      6.5%
      $535,000
      7%
      $560,000

    • Comparable approach

      Method
      Estimation
      Relative Method
      $585,000
      Geo Method
      $535,000

    • Alternative Use

      Use
      Estimation
      Distribution
      $570,000
      Retail
      $615,000
      Mixed-Use
      $540,000
      Hospitality
      $665,000
      Educational
      $485,000
      Residential Income
      $675,000
      Energy
      $640,000
      Income-Based Land
      $490,000
      Food Service
      $515,000

    Location Insight

    • Map
    • Local Demand
    City
    Columbus
    County
    Franklin
    State
    Ohio
    Longitude
    -83.062
    Latitude
    40.0911
    CBSA code
    18140
    CBSA name
    COLUMBUS, OH METROPOLITAN STATISTICAL AREA

    Property Tax & Assessments

    Tax date
    Tax Amount
    Assessed Land Value
    Assessed Improvement Value
    Total Assessed Value
    Applied Tax Rate
    Land Market Value
    Improvement Market Value
    Total Market Value
    2023
    $19,105
    $145,740
    $65,940
    $211,680
    -
    $416,400
    $188,400
    $604,800

    Comparable in this City

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      7450 Huntington Park Dr

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    • Value Estimation
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      84,148 SF

      355 Campus Vw Blvd

      OFFICE BUILDING • 84,148 SF
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    • Value Estimation
      $450,000
      6,672 SF

      2538 Billingsley Rd, Unit 2548

      OFFICE BUILDING • 6,672 SF
      2538 Billingsley Rd, Columbus, OH 43235-1990
      View Details
    • Value Estimation
      $475,000
      2,991 SF

      7730 Olentangy Riv Rd

      OFFICE BUILDING • 2,991 SF
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      View Details

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    2690 Dublin Granville Rd
    Columbus, OH 43235-2711
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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
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