2015 Hyundai Accent GS



  • Peruzzi Price: Call For Price

Visit our Store

Vehicle Information

VIN: KMHCT5AE5FU208769
Stock #: 4242PAZ
Model Code: 16522F45
  • Body Style 4D Hatchback
  • Exterior Color Ironman Silver Metallic
  • Interior Color Black
  • Mileage 53,683
  • Fuel Economy
    City/Highway 26/37 MPG
  • Engine 1.6L I-4 gasoline direct injection, DOHC, variable valve control, regular unleaded, engine with 138HP
  • Transmission Automatic
  • Fuel Type Regular unleaded

Highlighted Features

Feature availability subject to final vehicle configuration. Please reference window sticker for more info.
  • Cruise Control

Dealer Comments

Recent Arrival! Ironman Silver Metallic 2015 Hyundai Accent GS


Every vehicle we sell is state inspected by one of our Master trained technicians. A copy of all service work is available upon request. Low interest rates available through one of our 30+ lenders. One Year of complimentary Oil Changes included on every Peruzzi vehicle purchase!

All Features

Vehicles You Might Like

2016 Nissan Versa Note SV

VIN: 3N1CE2CP5GL373148
Stock: 267266AZ
Model: 11616
  • Call For Price MSRP


2012 Subaru Impreza WRX

VIN: JF1GR7E60CG240905
Stock: 4258P
Model: CXN
  • Call For Price MSRP


2021 Mazda3 Hatchback Premium

VIN: JM1BPBML8M1316699
Stock: 4231P
Model: M3HPRXA
  • Call For Price MSRP


2024 Mazda3 Hatchback 2.5 S Select Sport

VIN: JM1BPAKM2R1714536
Stock: 4215R
Model: M3HSES2A
  • Call For Price MSRP


Prices do not include additional fees and costs of closing, including government fees and taxes, any finance charges, any dealer documentation fees, any emissions testing fees or other fees. All prices, specifications and availability subject to change without notice. Contact dealer for most current information.

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.