2,001 matches
2,001 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
Stock # K1941MCertified Pre-Owned
$23,900
Est. Payment
$364/mo
$364/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Hyundai
Stock # A16302DCertified Pre-Owned
was $23,700
$21,700
$21,700
Est. Payment
$331/mo
$331/mo
Clement Supercenter
Clement Pre-Owned
Clement Hyundai
Stock # A16304DCertified Pre-Owned
was $24,000
$22,000
$22,000
Est. Payment
$335/mo
$335/mo
Clement Supercenter
Clement Hyundai
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Clement Hyundai
Clement Hyundai
Clement Hyundai
Clement Hyundai
Stock # S10939JCertified Pre-Owned
was $27,000
$21,500
$21,500
Est. Payment
$327/mo
$327/mo
Clement Chrysler Dodge Jeep Ram Columbia
Stock # S11044JCertified Pre-Owned
was $26,000
$25,000
$25,000
Est. Payment
$381/mo
$381/mo
Clement Chrysler Dodge Jeep Ram Columbia
Stock # 12734Certified Pre-Owned
was $25,250
$23,477
$23,477
Est. Payment
$358/mo
$358/mo
Clement Hyundai
Clement Ford
Stock # S10748JCertified Pre-Owned
was $27,000
$22,500
$22,500
Est. Payment
$343/mo
$343/mo
Clement Chrysler Dodge Jeep Ram Columbia
Clement Hyundai
Stock # 12803JCertified Pre-Owned
was $29,000
$23,173
$23,173
Est. Payment
$353/mo
$353/mo
Clement Hyundai
Stock # A16306MCertified Pre-Owned
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
Stock # C18440DCertified Pre-Owned
was $25,700
$23,300
$23,300
Est. Payment
$355/mo
$355/mo
Clement Pre-Owned
Clement Hyundai
Stock # C18873MCertified Pre-Owned
was $23,500
$22,200
$22,200
Est. Payment
$338/mo
$338/mo
Clement Pre-Owned
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.