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Keller Williams Realty
404 Bay Tree Lane, Huntsville, AL 35824
- $359,900
- 3
- BD
- 2.5
- BA
- 2,103
- SqFt
- Sold Price
- $359,900
- List Price
- $369,900
- Status
- CLOSED
- Days on Market
- 74
- Closing Date
- Apr 01, 2026
- MLS#
- 21907692
- Subtype
- Residential
- Style
- Ranch/1 Story
- Year Built
- 2012
- Bedrooms
- 3
- Bathrooms
- 2.5
- Full Baths
- 2
- Half Baths
- 1
- Living Area
- 2,103
- Lot Size
- 8,712
- Acres
- 0.20
- Subdivision
- Magnolia Village
Property Description
Immaculate one-level home with an open floor plan & tall smooth ceilings, offering 3 bedrooms & 2.5 baths. The isolated owner suite features a trey ceiling, dual walk-in closets, & a spa-like bath. Hardwood floors throughout except one bedroom. Enjoy outdoor living with a large screened porch, pergola patio with party lights & bar, stone patio, gas grill hookup, & storage shed. The fenced, flat backyard includes a sprinkler system & separate meter. Upgraded 2-car garage boasts EV charger, deep sink, workbench, ceiling racks, & floored attic storage. Includes community amenities at Lake Forest and a prime location near Redstone's gate 7, Publix and Town Madison. Pre-Inspected & repaired.
Additional Information
- Exterior Features
- Curb/Gutters, Sidewalk, Undgrnd Util, Sprinkler Sys
- Property Description
- Ranch/1 Story
- Appliances
- Dishwasher, Microwave, Refrigerator, Disposal, Gas Cooktop
- Heating
- Central 1
- Air Conditioning
- Central 1
- Levels
- One
- Parking Features
- Garage-Two Car, Garage-Attached, Garage Door Opener, Garage Faces Front, Driveway-Concrete, Electric Vehicle Charging Station(s)
- Elementary School
- Williams
- Middle School
- Williams
- High School
- Columbia High
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Listing courtesy of Kw Huntsville. Selling Office: Kw Huntsville.
Listing data is derived in whole or in part from NALMLS and is for consumers' personal, non-commercial use only. All data should be independently verified..
This information is provided exclusively for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. Data is deemed reliable but not guaranteed.