2004 Smart Fortwo Cabriolet 0.7L Petrol · GP04 SBU

The vehicle currently presents a stable roadworthiness status following a clean MOT pass in June 2023 at 77,674 miles. This represents a significant improvement over the July 2018 testing period, where the car failed initially due to multiple steering, suspension, and emissions faults. The lack of advisories in the most recent test suggests that the mechanical defects identified five years ago were addressed and that the vehicle has maintained a consistent condition during its last period of operation. At 22 years old, the recorded mileage of 77,674 miles is low, averaging approximately 3,500 miles per annum. The data shows a notable gap in usage between 2018 and 2023, during which the car covered only 1,481 miles over five years. While low mileage generally reduces wear on the engine and drivetrain, such long periods of standing can cause rubber components to dry out or perish, which is consistent with the previous reports of deteriorated brake hoses and dust covers noted in earlier records. A buyer must conduct a thorough physical inspection of the front suspension geometry, as the 2018 failure highlighted issues with the lower suspension arm ball joints and track rod ends. Although these were repaired, the recurring nature of dust cover failures suggests the steering components may be prone to wear or moisture ingress. The 2017 advisory regarding deteriorated brake hoses also warrants a close check for surface cracking or bulging, as these rubber lines degrade over time regardless of how few miles are driven. Given the age of the vehicle and the low mileage, structural integrity should also be verified for hidden corrosion on the chassis, particularly where Smart cars tend to trap moisture. The 2018 failure for a lambda sensor reading and a rough idle indicates the engine management system has previously experienced issues; the buyer should monitor the idle quality during a test drive to ensure these faults remain stable and the exhaust system is operating within parameters.