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    2296 Niels Bohr Ct San Diego, CA 92154-7915
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    Property profile & analytics

    2296 Niels Bohr Ct, San Diego, CA 92154-7915

    View on Map
    • Hotels
    • 51,835 SF
    • 1.83 lot acres
    Off-Market
    Last Sale Jun 1, 2021
    $15,250,000
    Property ID
    US09-7775059
    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.
    Value Estimations
    $13,145,000
    Show details
    Cap Rate Potential
    3.2%
    Hotels
    Location Intelligence

    Current Use by Public Records

    • Holiday Inn Express & Suites San Diego Otay Mesa, an IHG Hotel / Hotel & Motel
    • Wilbert R. Westling Law Offices Ca / Law Firm

    Property Details for 2296 Niels Bohr Ct

    Year built
    2007
    Lot size
    1.83 lot acres
    Zone code
    COMMERCIAL
    Property type
    Hotels
    Property subtype
    Motels
    APN
    646-230-25-00
    APU
    6462302500

    Sales History

    Date Price Buyer Seller Deed Type Mortgage
    Feb 10, 2022 — Sesode LLC — Deed · related $200k · Amy Patel
    Nov 18, 2021 — Sesode LLC — Deed · related $600k · Rekha Patel
    Aug 12, 2021 — Sesode LLC Seva Enterprises LLC Correction Deed · related —
    Jun 1, 2021 $15,250,000 Sesode LLC Seva Enterprises LLC Grant Deed $10.4M · University Cu
    Jan 30, 2015 $1,380,500 Seva Ents LLC Tristar Hotels LLC Grant Deed $6.2M · Bank Of America
    Oct 18, 2007 $12,625,000 Tristar Hotels LLC Otay Mesa Inn LLC Grant Deed $9.5M · Cibc INC
    Feb 2, 2006 — Otay Mesa Inn LLC — Trustees Deed · related $4.7M · Hanmi Bank
    — — Tristar Hotels LLC — Deed Of Trust · related $9.5M · Cibc

    Value Estimations

    based on Realmo’s proprietary methodology

    • AI approach

      Method
      Estimation
      Statistic approach
      $14,580,000
      ML approach
      $9,445,000

    • Comparable approach

      Method
      Estimation
      AI Estimate
      $11,200,000
      Market price range: $4.33M - $34.2M

    Get a detailed, property-specific estimation — fast and free

    Location Insight

    • Map
    • Local Demand
    City
    San Diego
    County
    San Diego
    State
    California
    Longitude
    -116.94
    Latitude
    32.5572
    CBSA code
    41740
    CBSA name
    SAN DIEGO-CARLSBAD-SAN MARCOS, CA 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
    2024
    $193,317
    $4,244,832
    $11,280,641
    $15,525,473
    -
    $0.00
    $0.00
    $0.00

    Comparable in this City

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      24,154 SF

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    • Value Estimation
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      1730 Palm Ave

      HOTEL/MOTEL
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    • Value Estimation
      $1,085,000
      10,552 SF

      1722 Palm Ave, Unit 28

      HOTEL/MOTEL
      1722 Palm Ave, San Diego, CA 92154-1149
      View Details
    • Value Estimation
      $3,590,000
      36,616 SF

      2351 Otay Ctr Dr

      HOTEL/MOTEL
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    • Value Estimation
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      1101 Hollister St

      HOTEL/MOTEL
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      View Details
    • Value Estimation
      $1,060,000
      8,288 SF

      1078 Outer Rd

      HOTEL/MOTEL
      1078 Outer Rd, San Diego, CA 92154-1351
      View Details

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      191,582 SF

      San Diego Warehouse Distribution Facility

      191,582 SF warehouse with 32' clear height.
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      Secured Yard with Dock High

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      3,600 SF

      Retail Space Available For Rent

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    Property Visit Statistics

    • Visits by month
      7.4k
    • Visitors by month
      3.3k
    • Avg Time on site
      482 min
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    San Diego, CA 92154-7915
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    Realmo Value Estimations

    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.

    Realmo CapRate Calculation

    Realmo calculates the Capitalization Rate (Cap Rate) to help estimate a property's potential return on investment. The Cap Rate is a fundamental metric in commercial real estate that measures the relationship between a property's net operating income and its market value.

    How We Calculate Cap Rate

    Cap Rate Formula:
    Cap Rate (%) = (Net Operating Income / Property Value) × 100

    Net Operating Income (NOI) Formula:
    NOI = Area × Lease Rate × (1 - Vacancy Rate) × (1 - Operating Expense Ratio)

    Components

    Net Operating Income (NOI) represents the annual income a property generates after operating expenses:

    • Area: Building square footage from property records
    • Lease Rate: Annual $/sqft based on market data for the property type and geographic location
    • Vacancy Rate: Percentage of unoccupied space based on market data for the property type and location
    • Operating Expense Ratio: Operating costs as a percentage of income, varies by property type

    Property Value is derived from:

    • Recent sale price (if available)
    • Statistical models using comparable sales
    • AI-powered valuation estimates

    Example Calculation

    For a 100,000 sqft Office Building:

    • Lease Rate: $25.00/sqft/year (market data for Office in this area)
    • Vacancy Rate: 8% (market data for Office in this area)
    • Operating Expense Ratio: 35% (typical for Office properties)
    • Property Value: $15,000,000

    Step 1: Calculate NOI

    NOI = 100,000 × $25.00 × (1 - 0.08) × (1 - 0.35)
    NOI = 100,000 × $25.00 × 0.92 × 0.65
    NOI = $1,495,000/year

    Step 2: Calculate Cap Rate

    Cap Rate = ($1,495,000 / $15,000,000) × 100
    Cap Rate = 9.97%

    Property Type Considerations

    Net Operating Income calculations vary by property type due to different operating expense ratios:

    • Office: Higher expenses (30-40%) for HVAC, utilities, maintenance
    • Retail: Moderate expenses (25-35%) for common area maintenance
    • Industrial/Warehouse: Lower expenses (15-25%) for minimal tenant services
    • Multifamily: Moderate expenses (35-45%) including property management
    • Self-Storage: Lower expenses (25-35%) due to minimal maintenance

    Market lease rates and vacancy rates are specific to each property type and geographic location, reflecting local market conditions.

    Disclaimer

    These calculations are estimates for informational purposes only and should not be used as a substitute for professional financial analysis or appraisal.

    • Cap Rate calculations depend on market data that may change over time
    • Actual operating expenses, lease rates, and vacancy rates may differ from market averages
    • Individual property conditions, lease terms, and tenant quality significantly impact actual NOI
    • Property value estimates are approximations and not official appraisals
    • Cap rates vary widely by market, property condition, and investment risk profile

    Professional Guidance Recommended: Before making any investment or financial decisions, consult with licensed appraisers, commercial real estate brokers, and financial advisors who can evaluate your specific property and circumstances.
    By using this feature, you acknowledge that Realmo is not responsible for investment decisions or actions taken based on these estimates.

    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.

    Stat Estimate

    This method estimates value based on actual market adjusted recent (~5 years) sales of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all similar sales ($/sqft) are above this value
    • Range-to: 75% of all similar sales ($/sqft) are below this value
    AI Estimate

    This method estimates value based on AI market estimation of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all estimations ($/sqft) are above this value
    • Range-to: 75% of all estimations ($/sqft) are below this value
    Alternative use

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

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