Lot 54778316 · NC - RALEIGH
2016 AUDI Q3 quattro Prestige
VIN WA1GFCFS4GR009792
Current bid
$600
≈ €556
Archive
The vehicle
- Year 2016
- Make / model AUDI Q3
- Trim level quattro Prestige
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE CERTIFICATE OF TITLE
- VIN WA1GFCFS4GR009792
- Drive type AWD/All-Wheel Drive
- Transmission Automatic
- Horsepower 200 к.с.
- Exterior color dark blue
- Odometer 87,073 mi (140,130 km)
- Listing valid until 2026-07-21 17:00
Notes
Този Audi Q3 от 2016 г. е чудесен избор за всеки, който търси комфорт и сигурност в един стилен SUV.
Двигателят работи и колата се движи.
🚗 Audi Q3 2016 г.
📋 Основни характеристики:
пробег: 140 130 км
двигател: 2.0 L, 4 цилиндъра, 200 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
скоростна кутия: автоматична
каросерия: джип
цвят: тъмносин
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Damage assessment
Body zones
No AI damage assessment yet for this lot.
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Underbody
Condition assessment
The vehicle is a 2016 Audi Q3 with a salvage certificate of title. The auction listed the primary damage as FRONT END. However, Stage 1 reported that the visible evidence did not support this claim: the front bumper, grille, hood, headlights, and front fenders reportedly showed no obvious collision damage in the provided photos.
No additional damage findings were provided.
According to the VIN decode, this is a Q3 quattro Prestige SUV equipped with a 2.0-liter turbocharged four-cylinder gasoline engine, automatic transmission, and all-wheel drive. The vehicle was manufactured by Audi AG in Spain.
Three NHTSA safety recalls are listed for this model and year. They concern potential inoperative front turn-signal indicators on vehicles with LED headlights (campaign 19V385000), brake lights not activating during emergency braking when the parking brake is used (17V400000), and side-marker lights becoming inoperative with the parking lights or headlights (16V642000). Recall completion should be verified with Audi using the vehicle identification number before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.