1,836 matches
1,836 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Florissant
Stock # 12990JCertified Pre-Owned
was $33,750
$31,431
$31,431
Est. Payment
$479/mo
$479/mo
Clement Hyundai
Clement Chrysler Dodge Jeep Ram Florissant
Clement Hyundai
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Clement Ford
Clement Chrysler Dodge Jeep Ram Florissant
Clement Pre-Owned Florissant
Stock # 13006JCertified Pre-Owned
was $35,061
$31,792
$31,792
Est. Payment
$484/mo
$484/mo
Clement Hyundai
Clement Chrysler Dodge Jeep Ram Florissant
Stock # C19375NCertified Pre-Owned
was $24,500
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Pre-Owned Florissant
Clement Supercenter
Stock # F14171JCertified Pre-Owned
$56,826
Est. Payment
$866/mo
$866/mo
Clement Ford
Stock # R10651ACertified Pre-Owned
was $26,900
$25,500
$25,500
Est. Payment
$388/mo
$388/mo
Clement Chrysler Dodge Jeep Ram Columbia
Clement Chrysler Dodge Jeep Ram Florissant
Stock # 13014JCertified Pre-Owned
was $16,741
$16,448
$16,448
Est. Payment
$250/mo
$250/mo
Clement Hyundai
Stock # A16687NCertified Pre-Owned
was $22,700
$21,400
$21,400
Est. Payment
$326/mo
$326/mo
Clement Supercenter
Stock # A16647MCertified Pre-Owned
was $24,500
$23,600
$23,600
Est. Payment
$359/mo
$359/mo
Clement Supercenter
Stock # Z10483ACertified Pre-Owned
$20,500
Est. Payment
$312/mo
$312/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Hyundai
Stock # C19399ACertified Pre-Owned
was $39,000
$38,800
$38,800
Est. Payment
$591/mo
$591/mo
Clement Pre-Owned Florissant
Clement Ford
Clement Ford
Stock # C19394NCertified Pre-Owned
was $24,500
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Pre-Owned Florissant
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.