Pre-Owned 2019 Nissan Versa 1.6 SV

Disclaimer:

While every reasonable effort is made to ensure the accuracy of this information, we are not responsible for any errors or omissions contained on these pages. Please verify any information in question with Sheehy Auto Stores. We make every effort to provide accurate information. Please verify options and price before purchase. Sheehy is not responsible for errors or omissions. All vehicles subject to prior sale. Quoted price available on in-stock units only.  Financing is subject to approved credit through a designated lender. Price excludes tax and tags. Some manufacturer rebates and incentives require financing through the manufacturer. Some manufacturer rebates are not compatible with special manufacturer finance offers. Manufacturer Rebates and incentives are valid during the time period set by the manufacturer and are subject to change without notice. Additional manufacturer rebates and incentives may apply to qualifying customers and may lower the sales price. See dealer for details. Additional fees may apply to new vehicles transferred from other locations. A $100 transfer fee will be added to the price of all used vehicles transferred in from other locations. An additional $100 will be applied to vehicles transferred over 50 miles. Sheehy Value pre-owned vehicles are NON-transferable.

Ford Courtesy Vehicles are used and sold as used vehicles but qualify for new vehicle incentives. Our pricing includes all incentives that may require financing. Not all buyers qualify. Financing is subject to approved credit through a designated lender. You may qualify for additional incentives such as college grad and military incentives, which are not reflected in our pricing. Price excludes tax and tags.

*These estimates reflect new EPA methods beginning with 2008 models. Your actual mileage will vary depending on how you drive and maintain your vehicle. Actual mileage will vary with options, driving conditions, driving habits and vehicle’s condition. Mileage estimates may be derived from the previous year model.