DVLA verified

2018 ALFA ROMEO GIULIA SPECIALE TD AUTO2.1L Diesel

XIW 232

Vehicle Insight Summary

ALFA ROMEO GIULIA SPECIALE TD AUTO (2018, Diesel, 2143cc) — mileage recorded at 67,608. MOT status: not recorded. Road tax: not taxed. Check full history before buying.

MOT
Expired
Expires 29/04/2026
Tax
No data
Powered by Experian Data
£8.99
Check outstanding finance, stolen records, write-off categories & mileage anomalies.
Instant results • £20,000 data guarantee • Same data source as HPI
Fuel
Diesel
Year
2018
Engine
2143cc

Free vehicle health score

58
/ 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
✓ Good MOT pass rate (75%)
A score of 58 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 XIW232

Data provided by Experian
Stolen
Locked
Finance
Locked
Write-off
Locked
Salvage
Locked
Imported
Locked
Exported
Locked
Scrapped
Locked
Destruction
Locked
V5C Logbook
Locked
Powered by Experian Data

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: 13 Jul 2026, 01:00
AI Analysis · MOT Narrative

Our records for this Alfa Romeo Giulia Speciale Td Auto (XIW 232) from 2018 show a total of 4 MOT tests between April 2022 and April 2024.

With 3 passes and 1 failures, the lifetime MOT pass rate stands at 75%. While not perfect, the history shows a relatively typical pattern of MOT passes and fails.

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

PASS
FAIL
ADVISORY