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Price: $38,405

2024 Ford Ranger SuperCrew Cab 4x4, Pickup (Stock #NE15970)

Dealer Video

Vehicle Notes

Oxford White 2024 Ford Ranger XL XL

Chassis Details

Stock Number
NE15970
Stock Type
New
Year
2024
Make
Ford
Model
Ranger
Class
2
Drive Train
4x4
Cab Type
SuperCrew
Vehicle Trim
XL
Vehicle VIN
1FTER4PH1RLE15970
Interior Color
Ebony
Exterior Color Description
White
Engine Cylinder Count
4
Transmission Type
Automatic
Fuel Type
Gasoline
HighwayMPG
24
Engine Make
Ford
Engine Size (L)
2.3
Brake Type
Hydraulic

Vehicle Options

  • Equipment Group 100A Standard
  • 3.73 Axle Ratio
  • Wheels: 17" Silver-Painted Aluminum
  • Premium Cloth Front Bucket Seats
  • AM/FM Stereo
  • Trailer Tow Package
  • Class IV Trailer Hitch Receiver
  • STX Appearance Package
  • STX Fender Badge
  • Halogen Fog Lamps
  • LED Reflector Headlamps
  • Dampened Tailgate
  • SYNC 4A
  • Auto High-beam Headlights
  • Emergency communication system: SYNC 4 911 Assist
  • 4-Wheel Disc Brakes
  • 6 Speakers
  • Air Conditioning
  • Electronic Stability Control
  • Front Bucket Seats
  • Front Center Armrest
  • Voltmeter
  • ABS brakes
  • AM/FM radio
  • Alloy wheels
  • Brake assist
  • Delay-off headlights
  • Driver door bin
  • Dual front impact airbags
  • Dual front side impact airbags
  • Front anti-roll bar
  • Front fog lights
  • Front reading lights
  • Front wheel independent suspension
  • Fully automatic headlights
  • Illuminated entry
  • Low tire pressure warning
  • Occupant sensing airbag
  • Outside temperature display
  • Overhead airbag
  • Overhead console
  • Panic alarm
  • Passenger door bin
  • Power door mirrors
  • Power steering
  • Power windows
  • Rear reading lights
  • Rear seat center armrest
  • Rear step bumper
  • Remote keyless entry
  • Security system
  • Speed control
  • Speed-sensing steering
  • Steering wheel mounted audio controls
  • Telescoping steering wheel
  • Tilt steering wheel
  • Traction control
  • Trip computer
  • Variably intermittent wipers
  • Compass
  • Variable valve control
  • View All

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Pricing Details

Price $38,405
Additional Upfit Cost

Price above does not include any of the Build & Quote options.

Vehicle available NOW in Richmond, VA

Contact Sheehy Ford Richmond for more info.

(804) 554-3696
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 $998 VA/($500 MD - NOT REQUIRED BY LAW). Additional fees 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. An additional $300 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.