Chat with us, powered by LiveChat
Skip Navigation Links

5687 Ashton Loop

Lolo, MT 59847

JUST LISTED
$535,000
3 Bedsbed
2 Bathsbath

Summary

This single-level residence in Lolo presents a desirable 3-bedroom, 2-bathroom floor plan, featuring an open-concept living and kitchen area, enhanced by attractive LVP flooring, suitable for hosting gatherings. The property has been recently refreshed with new paint throughout. The primary suite offers a walk-in closet and private bath, alongside two additional bedrooms and a guest bath. The well-maintained yard includes underground sprinklers and is fully enclosed with a patio, perfect for outdoor activities. A two-car garage provides ample storage and parking. The location is strategically positioned, offering convenient access to local amenities.

Details

  • Beds
    3
  • Baths
    2
  • Type
    Single Family Residence
  • Garage
    2
  • Year Built
    2014
  • Lot Size
    0.12 AC
  • Heating
    Electric, Forced Air
  • View
    Residential
  • Community
    Lolo
  • Utilities
    Cable Available, Electricity Available, High Speed Internet Available
  • Days on Market
    1
  • Listing Courtesy of
    Rise Realty Montana
  • MLS #
    30053795

Location

Loading...
Sign upPlease sign up for updates and property information.
    I am interested in the following locations
  • This site is protected by reCAPTCHA see our Privacy Policy

ERA® and the ERA Logo are registered service marks owned by ERA Franchise Systems LLC. Robyn L. Erlenbush Real Estate, P.C. fully supports the principles of the Fair Housing Act and the Equal Opportunity Act. Each franchise is independently owned and operated. Any services or products provided by independently owned and operated franchisees are not provided by, affiliated with or related to ERA Franchise Systems LLC nor any of its affiliated companies. © 2019 Robyn L. Erlenbush Real Estate, P.C. All rights reserved.

 

All property data and market statistics are pulled from Big Sky Country MLS.

Real estate website design, development and optimization by Organic Return