Call For Pricing
Price: $70,490

2023 Ford Transit 350 HD High Roof 4x2, Empty Cargo Van (Stock #GA62610)

Dealer Video

Vehicle Notes

Race Red 2023 Ford Transit-350 RWD 10-Speed Automatic with Overdrive EcoBoost 3.5L V6 GTDi DOHC 24V Twin Turbocharged Open Safety Recall-Remedy Availa…
Read More…
Race Red 2023 Ford Transit-350 RWD 10-Speed Automatic with Overdrive EcoBoost 3.5L V6 GTDi DOHC 24V Twin Turbocharged Open Safety Recall-Remedy Available.
Read Less

Chassis Details

Stock Number
GA62610
Stock Type
New
Year
2023
Make
Ford
Model
Transit 350 HD
Class
2
Drive Train
4x2
Vehicle Trim
Base
Interior Color
Dk Palazzo Gry
Exterior Color Description
Red
Engine Cylinder Count
6
Transmission Type
Automatic
Roof Height
High
Fuel Type
Gasoline
Engine Model
EcoBoost
Engine Size (L)
3.5
Brake Type
Hydraulic

Vehicle Options

  • 4 Speakers
  • AM/FM radio
  • AM/FM Stereo
  • Air Conditioning
  • Power steering
  • Power windows
  • Remote keyless entry
  • Steering wheel mounted audio controls
  • Traction control
  • 4-Wheel Disc Brakes
  • ABS brakes
  • Dual front impact airbags
  • Dual front side impact airbags
  • Front anti-roll bar
  • Front wheel independent suspension
  • Low tire pressure warning
  • Occupant sensing airbag
  • Overhead airbag
  • Passenger cancellable airbag
  • Brake assist
  • Electronic Stability Control
  • Exterior Parking Camera Rear
  • Auto High-beam Headlights
  • Delay-off headlights
  • Fully automatic headlights
  • Panic alarm
  • Power door mirrors
  • Short-Arm Manual-Folding Power Adjust Mirrors
  • Driver door bin
  • Front reading lights
  • Illuminated entry
  • Tachometer
  • Telescoping steering wheel
  • Tilt steering wheel
  • Dark Palazzo Gray Vinyl Bucket Seats
  • Driver's Seat Mounted Armrest
  • Front Bucket Seats
  • Vinyl Front Bucket Seats
  • Passenger door bin
  • Wheels: 16" Silver Steel w/Silver Hubcaps
  • Variably intermittent wipers
  • 4.10 Limited-Slip Axle Ratio
  • Open Safety Recall-Remedy Available
  • BACKUP CAMERA,
  • SPORT PACKAGE,
  • CHROME APPEARANCE PACKAGE,
  • View All
×
×
Call For Pricing

Pricing Details

Price $70,490
Additional Upfit Cost

Contact Sheehy Ford Springfield for more info.

(703) 372-9969

Vehicle available NOW in Springfield, VA

Disclaimer:
We keep it Easy at Sheehy with straightforward 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. Price excludes tax, tags, and a processing fee of $799 VA/($500 MD - NOT REQUIRED BY LAW). 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. 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 a 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 the previous year model.