New 2019 Ford F-150 Lariat in Virginia, Maryland and Washington DC

We keep it easy at Sheehy with straight-forward online pricing. We do not add additional reconditioning or certification fees to our posted online pricing, a majority of our competitors will add these fees to their price. We mention this as a courtesy to help you get accurate price quotes, and avoid surprises, while researching for your new or used vehicle. Our Virginia locations offer pricing that excludes College, Military and loyalty rebates as dictated by the local market, while our remaining Maryland locations include these rebates in their listed prices. Price plus tax, tags, processing fee of $799 VA/$300 MD (NOT REQUIRED BY LAW) and freight (Pricing on 2019 Nissans includes freight). Additional fee may apply to new vehicles transferred from other locations. A $300 transfer fee will be added to the price of all used vehicles transferred in from other locations. Sheehy Value pre-owned vehicles are NON-transferable. 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 before purchase. All vehicles subject to prior sale. Quoted price available on in-stock units only. All prices are exclusive internet prices only. Financing is subject to approved credit through designated lender. Some manufacturer rebates are not compatible with 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 those who qualify and may lower the sales price. See dealer for details. *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 previous year model.