2,002 matches
2,002 certified new and used cars, trucks and SUVs for sale near St. Louis, MO
Stock # C19107MCertified Pre-Owned
was $18,500
$18,000
$18,000
Est. Payment
$274/mo
$274/mo
Clement Pre-Owned
Stock # A15721MACertified Pre-Owned
$31,400
Est. Payment
$478/mo
$478/mo
Clement Supercenter
Stock # Z10435ACertified Pre-Owned
was $30,431
$27,850
$27,850
Est. Payment
$424/mo
$424/mo
Clement Chrysler Dodge Jeep Ram Florissant
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Florissant
Clement Chrysler Dodge Jeep Ram Columbia
Stock # A16163DCertified Pre-Owned
was $31,800
$29,280
$29,280
Est. Payment
$446/mo
$446/mo
Clement Supercenter
Stock # A16290MCertified Pre-Owned
was $17,200
$15,200
$15,200
Est. Payment
$231/mo
$231/mo
Clement Supercenter
Stock # A16153NCertified Pre-Owned
was $36,500
$34,600
$34,600
Est. Payment
$527/mo
$527/mo
Clement Supercenter
Stock # A16364NCertified Pre-Owned
$49,560
Est. Payment
$755/mo
$755/mo
Clement Supercenter
Clement Chrysler Dodge Jeep Ram Columbia
Stock # A19400DCertified Pre-Owned
$48,500
Est. Payment
$739/mo
$739/mo
Clement Supercenter
Clement Pre-Owned
Clement Supercenter
Clement Pre-Owned
Clement Chrysler Dodge Jeep Ram Columbia
Clement Pre-Owned
Clement Ford
Stock # A16059NCertified Pre-Owned
was $41,500
$38,800
$38,800
Est. Payment
$591/mo
$591/mo
Clement Supercenter
Stock # A16194DACertified Pre-Owned
was $20,200
$17,600
$17,600
Est. Payment
$268/mo
$268/mo
Clement Supercenter
Clement Ford
Clement Ford
Clement Supercenter
Stock # A16061NCertified Pre-Owned
was $41,000
$37,500
$37,500
Est. Payment
$572/mo
$572/mo
Clement Supercenter
Clement Ford
Stock # A16268MCertified Pre-Owned
was $18,500
$18,300
$18,300
Est. Payment
$279/mo
$279/mo
Clement Supercenter
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.