Toyota pulls away again and the 402,000-km gap looks almost unreal
Toyota widens its lead while Lexus, Honda and Acura surge. But iSeeCars' huge 395-million-vehicle study comes with an important catch.
Toyota has pulled away from everyone again, and the numbers look striking. The estimated chance that one of its vehicles will reach 250,000 miles, or about 402,000 km, rose from 17.8% in the previous ranking to 19.7%. The market average also climbed, from 4.8% to 5.4%. But there is an important catch: this does not mean cars suddenly became more reliable in a single year.
The scale of the study is enormous. The new iSeeCars analysis covers more than 395 million vehicles. Toyota came in at 3.7 times the market average, followed by Lexus at 14.4%, Honda at 13.3% and Acura at 9.5%. A year earlier, those four Japanese brands stood at 17.8%, 12.8%, 10.8% and 7.2%, respectively. GMC has now also moved above the overall average with a 5.8% result.
Who gained the most? Honda, up 2.5 percentage points. Acura improved by 2.3 points and Toyota by 1.9. That looks like a serious jump, but it would be premature to call it a sudden increase in real-world vehicle lifespan. The underlying dataset has changed, so it is more accurate to describe this as a change in iSeeCars' estimate.
This is where the ranking can easily mislead. BMW and Audi each scored just 0.5%, while Porsche managed 0.3%, compared with 14.4% for Lexus. Is the quality gap really that huge? Not necessarily. iSeeCars specifically points to usage patterns: premium cars may simply cover fewer miles each year, making it harder for them to physically accumulate 402,000 km. Premium brands average only 3.4%, versus 5.8% for mainstream brands.
That is why treating this list as a direct reliability ranking would be a mistake. It is better read as an estimate of the odds of reaching an extremely high mileage, not as a tally of breakdowns or repair costs. Toyota, Lexus, Honda and Acura currently look almost untouchable, but the next update will show whether their advantage survives another recalculation of the massive dataset.