DVLA verified

MOT valid

Check service history

2017 AUDI SQ5+ SPECIAL ED TDI QUATTRO A3.0L Diesel

TIW 232

Vehicle Insight Summary

Free vehicle summary for TIW 232: 2017 AUDI SQ5+ SPECIAL ED TDI QUATTRO A (BLACK, Diesel). Mileage: 65,026. MOT: valid. Tax: untaxed.

MOT

Valid

Expires 11/04/2027

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: 65,026
Fuel: Diesel
Year: 2017
Engine: 2967cc

Free vehicle health score

/ 100 · Average

Public record health check: Average.

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

✓ Valid MOT

! Tax Status Unknown

! Average MOT pass rate (50%)

A score of 73 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 TIW232

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: 15 Apr 2026, 17:56

AI Analysis · MOT Narrative

Our records for this Audi Sq5+ Special Ed Tdi Quattro A (TIW 232) from 2017 show a total of 2 MOT tests between April 2026 and April 2026.

Historically, this vehicle has passed 50% of its MOT tests, totaling 1 passes against 1 fails. This pass rate is below average and potential buyers should investigate the failure history carefully.

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

PASS

FAIL

ADVISORY