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1,961 matches
1,961 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
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Clement Ford
Hot
Clement Chrysler Dodge Jeep Ram Florissant
Stock # A15706NCertified Pre-Owned
$39,300
Est. Payment
$599/mo
$599/mo
Clement Supercenter
Clement Pre-Owned
Stock # S10939JCertified Pre-Owned
was $27,000
$23,300
$23,300
Est. Payment
$355/mo
$355/mo
Clement Chrysler Dodge Jeep Ram Columbia
Hot
Clement Chrysler Dodge Jeep Ram Florissant
Stock # F13825JCertified Pre-Owned
$22,000
Est. Payment
$335/mo
$335/mo
Clement Ford
Clement Chrysler Dodge Jeep Ram Columbia
Stock # S10906JCertified Pre-Owned
was $27,000
$22,600
$22,600
Est. Payment
$344/mo
$344/mo
Clement Chrysler Dodge Jeep Ram Columbia
Clement Pre-Owned
Stock # 8857ACertified Pre-Owned
$28,500
Est. Payment
$434/mo
$434/mo
Clement Hyundai
Clement Supercenter
Stock # C18226DCertified Pre-Owned
was $25,500
$25,000
$25,000
Est. Payment
$381/mo
$381/mo
Clement Pre-Owned
Clement Ford
Stock # A14969MCertified Pre-Owned
was $29,000
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
Stock # K1727MCertified Pre-Owned
was $25,850
$25,600
$25,600
Est. Payment
$390/mo
$390/mo
Clement Chrysler Dodge Jeep Ram Florissant
Stock # A15178DCertified Pre-Owned
was $24,400
$23,000
$23,000
Est. Payment
$350/mo
$350/mo
Clement Supercenter
Clement Hyundai
Clement Hyundai
Clement Pre-Owned
Stock # A15346DCertified Pre-Owned
was $24,500
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
Stock # A15297DCertified Pre-Owned
was $24,800
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
Clement Pre-Owned
Clement Ford
Stock # 12811JCertified Pre-Owned
was $24,500
$22,500
$22,500
Est. Payment
$343/mo
$343/mo
Clement Hyundai
Clement Ford
Clement Ford
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.