DVLA verified

2000 SUZUKI GSF6000.6L Petrol

X592 ARD

Vehicle Insight Summary

Considering this 2000 SUZUKI GSF600? It's a Petrol with a 600cc engine showing 45,970 miles. MOT is not recorded and it's not currently taxed. View the full DVLA history below.

MOT

Expired

Expires 16/04/2026

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: 45,970
Fuel: Petrol
Year: 2000
Engine: 600cc

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 (67%)

! Older vehicle

A score of 45 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 X592ARD

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, 16:56

AI Analysis · MOT Narrative

This 2000 Suzuki Gsf600 (X592 ARD) has a recorded MOT history spanning from August 2023 to April 2025, with 3 MOT tests on record.

With 2 passes and 1 failures, the lifetime MOT pass rate stands at 67%. 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