2,010 matches
2,010 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
Stock # A15502MCertified Pre-Owned
was $26,500
$22,800
$22,800
Est. Payment
$347/mo
$347/mo
Clement Supercenter
Clement Hyundai
Clement Pre-Owned
Clement Hyundai
Clement Hyundai
Stock # 8970ACertified Pre-Owned
was $44,000
$40,000
$40,000
Est. Payment
$610/mo
$610/mo
Clement Hyundai
Stock # A16190DCertified Pre-Owned
$29,800
Est. Payment
$454/mo
$454/mo
Clement Supercenter
Clement Ford
Stock # A16003NCertified Pre-Owned
$39,500
Est. Payment
$602/mo
$602/mo
Clement Supercenter
Stock # A15948DCertified Pre-Owned
was $27,300
$26,500
$26,500
Est. Payment
$404/mo
$404/mo
Clement Supercenter
Clement Hyundai
Clement Pre-Owned
Clement Chrysler Dodge Jeep Ram Florissant
Stock # Z10347ACertified Pre-Owned
was $25,484
$25,225
$25,225
Est. Payment
$384/mo
$384/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Hyundai
Clement Ford
Stock # A15579MCertified Pre-Owned
was $24,000
$22,200
$22,200
Est. Payment
$338/mo
$338/mo
Clement Supercenter
Clement Supercenter
Stock # A15542MCertified Pre-Owned
was $30,000
$26,800
$26,800
Est. Payment
$408/mo
$408/mo
Clement Supercenter
Stock # K1847MCertified Pre-Owned
was $33,000
$31,434
$31,434
Est. Payment
$479/mo
$479/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Stock # C18441DCertified Pre-Owned
was $24,300
$23,800
$23,800
Est. Payment
$363/mo
$363/mo
Clement Pre-Owned
Clement Hyundai
Clement Ford
Stock # S10939JCertified Pre-Owned
was $27,000
$21,900
$21,900
Est. Payment
$334/mo
$334/mo
Clement Chrysler Dodge Jeep Ram Columbia
Stock # A15939DCertified Pre-Owned
was $36,500
$36,000
$36,000
Est. Payment
$549/mo
$549/mo
Clement Supercenter
Clement Ford
Please verify all the vehicle options with the dealer prior to completing your purchase. Even though dealer will do it's best to list all the options properly, due to variance of models and available options we use a third-party vin decoder to pull the options and we cannot certify that 100% of information is accurate.