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2,003 matches
2,003 certified new and used cars and SUVs for sale near St. Louis, MO
Clement Pre-Owned
Clement Hyundai
Stock # C18389DCertified Pre-Owned
$25,800
Est. Payment
$393/mo
$393/mo
Clement Pre-Owned
Stock # A15579MCertified Pre-Owned
was $24,000
$23,600
$23,600
Est. Payment
$359/mo
$359/mo
Clement Supercenter
Clement Ford
Clement Ford
Stock # K1585MCertified Pre-Owned
was $26,186
$25,750
$25,750
Est. Payment
$392/mo
$392/mo
Clement Chrysler Dodge Jeep Ram Florissant
Stock # 12728Certified Pre-Owned
was $31,000
$28,800
$28,800
Est. Payment
$439/mo
$439/mo
Clement Hyundai
Clement Hyundai
Stock # C18510DCertified Pre-Owned
was $28,500
$28,000
$28,000
Est. Payment
$427/mo
$427/mo
Clement Pre-Owned
Stock # A15503DCertified Pre-Owned
was $21,500
$21,300
$21,300
Est. Payment
$324/mo
$324/mo
Clement Supercenter
Stock # A15346DCertified Pre-Owned
was $24,500
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
Clement Ford
Clement Pre-Owned
Clement Ford
Clement Hyundai
Stock # A15336DACertified Pre-Owned
$35,000
Est. Payment
$533/mo
$533/mo
Clement Supercenter
Stock # C17572DCertified Pre-Owned
was $25,500
$24,800
$24,800
Est. Payment
$378/mo
$378/mo
Clement Pre-Owned
Clement Hyundai
Clement Hyundai
Clement Pre-Owned
Stock # F4841ACertified Pre-Owned
was $23,000
$22,500
$22,500
Est. Payment
$343/mo
$343/mo
Clement Ford
Clement Pre-Owned
Stock # S10906JCertified Pre-Owned
was $27,000
$22,600
$22,600
Est. Payment
$344/mo
$344/mo
Clement Chrysler Dodge Jeep Ram Columbia
Clement Ford
Stock # C18029DCertified Pre-Owned
was $25,000
$24,700
$24,700
Est. Payment
$376/mo
$376/mo
Clement Pre-Owned
Clement Pre-Owned
Stock # A14786DCertified Pre-Owned
was $24,800
$24,000
$24,000
Est. Payment
$366/mo
$366/mo
Clement Supercenter
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.