2,021 matches
2,021 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
Stock # A16534MCertified Pre-Owned
was $41,200
$40,800
$40,800
Est. Payment
$622/mo
$622/mo
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Florissant
Clement Ford
Stock # A16577MCertified Pre-Owned
was $42,800
$42,500
$42,500
Est. Payment
$648/mo
$648/mo
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Columbia
Clement Ford
Stock # A16604MCertified Pre-Owned
$33,800
Est. Payment
$515/mo
$515/mo
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Columbia
Stock # A16606MCertified Pre-Owned
was $43,500
$42,500
$42,500
Est. Payment
$648/mo
$648/mo
Clement Supercenter
Clement Ford
Stock # F14027ABCertified Pre-Owned
$40,168
Est. Payment
$612/mo
$612/mo
Clement Ford
Clement Chrysler Dodge Jeep Ram Columbia
Stock # A16518NCertified Pre-Owned
was $70,500
$69,700
$69,700
Est. Payment
$1,063/mo
$1,063/mo
Clement Supercenter
Stock # A16613MCertified Pre-Owned
was $74,500
$74,000
$74,000
Est. Payment
$1,128/mo
$1,128/mo
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Columbia
Clement Chrysler Dodge Jeep Ram Columbia
Clement Ford
Clement Chrysler Dodge Jeep Ram Columbia
Clement Supercenter
Clement Ford
Stock # F14095JCertified Pre-Owned
was $49,274
$46,926
$46,926
Est. Payment
$715/mo
$715/mo
Clement Ford
Clement Ford
Clement Chrysler Dodge Jeep Ram Columbia
Clement Chrysler Dodge Jeep Ram Florissant
Stock # C19268ACertified Pre-Owned
$15,000
Est. Payment
$228/mo
$228/mo
Clement Pre-Owned
Stock # F14106JCertified Pre-Owned
was $42,571
$41,347
$41,347
Est. Payment
$630/mo
$630/mo
Clement Ford
Stock # F14118JCertified Pre-Owned
was $43,377
$42,788
$42,788
Est. Payment
$652/mo
$652/mo
Clement Ford
Clement Chrysler Dodge Jeep Ram Florissant
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.