1,994 matches
1,994 certified new and used cars and SUVs for sale near St. Louis, MO
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Stock # K1952MCertified Pre-Owned
was $23,700
$23,400
$23,400
Est. Payment
$356/mo
$356/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Stock # A15646RCertified Pre-Owned
was $25,000
$20,500
$20,500
Est. Payment
$312/mo
$312/mo
Clement Supercenter
Clement Ford
Clement Hyundai
Stock # C18790MCertified Pre-Owned
was $27,500
$23,850
$23,850
Est. Payment
$363/mo
$363/mo
Clement Pre-Owned
Stock # F13976JCertified Pre-Owned
was $25,500
$23,731
$23,731
Est. Payment
$361/mo
$361/mo
Clement Ford
Clement Hyundai
Stock # C18389DCertified Pre-Owned
was $25,800
$23,500
$23,500
Est. Payment
$358/mo
$358/mo
Clement Pre-Owned
Clement Hyundai
Stock # C18812DCertified Pre-Owned
was $22,800
$20,500
$20,500
Est. Payment
$312/mo
$312/mo
Clement Pre-Owned
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Stock # C18233DCertified Pre-Owned
was $26,000
$23,000
$23,000
Est. Payment
$350/mo
$350/mo
Clement Pre-Owned
Stock # K1868MCertified Pre-Owned
was $25,500
$21,900
$21,900
Est. Payment
$334/mo
$334/mo
Clement Chrysler Dodge Jeep Ram Florissant
Stock # F13811JCertified Pre-Owned
was $23,000
$20,376
$20,376
Est. Payment
$310/mo
$310/mo
Clement Ford
Clement Pre-Owned
Clement Ford
Clement Hyundai
Clement Hyundai
Stock # C18656RCertified Pre-Owned
was $24,500
$22,400
$22,400
Est. Payment
$341/mo
$341/mo
Clement Pre-Owned
Stock # F14037JCertified Pre-Owned
was $21,388
$20,800
$20,800
Est. Payment
$317/mo
$317/mo
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.