DVLA verified

Check service history

2016 PORSCHE CAYENNE3.0L Diesel

J3 PWR

Vehicle Insight Summary

With 56,933 miles recorded, this Grey 2016 PORSCHE CAYENNE runs on Diesel with a 2967cc engine. MOT is not on record and tax is unpaid.

MOT

Expired

Expires 13/06/2026

Tax

No data

£8.99

Check outstanding finance, stolen records, write-off categories & mileage anomalies.

Instant results • £20,000 data guarantee • Same data source as HPI

Mileage: 56,933
Fuel: Diesel
Year: 2016
Engine: 2967cc

Free vehicle health score

/ 100 · Below Average

Public record health check: Below Average.

Based on free DVLA & DVSA signals. Premium checks for stolen/finance/write-off history are locked below.

✗ MOT Expired or Failed

! Tax Status Unknown

! Average MOT pass rate (60%)

A score of 48 doesn't mean it's safe to buy. Private markers don't appear in public data.

Verified Experian Data

Full History Report

Official provenance and safety check for J3PWR

Data provided by Experian

Stolen

Locked

Finance

Locked

Write-off

Locked

Salvage

Locked

Imported

Locked

Exported

Locked

Scrapped

Locked

Destruction

Locked

V5C Logbook

Locked

Premium Vehicle History Data Locked

Unlock the full report to reveal outstanding finance agreements, police stolen markers, insurance write-off categories (Cat A/B/C/D/S/N), mileage anomaly checks, and plate changes.

Instant results • £20,000 data guarantee • Same data source as HPI

Data provided by Experian

Technical Specifications

AI Intelligence

What's this car worth today?

Get an instant, AI-powered valuation based on live market data, this exact model, and recent auction results.

Full MOT History

Live data last synced with DVSA: 28 May 2026, 02:00

AI Analysis · MOT Narrative

Our records for this Porsche Cayenne (J3 PWR) from 2016 show a total of 5 MOT tests between June 2023 and May 2025.

Across its entire MOT history, this Porsche has a 60% success rate (3 passes and 2 fails). A decent overall history, though the failure record warrants a closer look for any patterns.

AI insights are experimental and can be incorrect. All claims should be manually verified.

PASS

FAIL

ADVISORY