DVLA verified

1988 SUZUKI GSX600F0.6L Petrol

F251 EGC

Vehicle Insight Summary

Considering this 1988 SUZUKI GSX600F? It's a Petrol with a 599cc engine showing 21,025 miles. MOT is not recorded and it's not currently taxed. View the full DVLA history below.

MOT

Expired

Expires 19/08/2023

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: 21,025
Fuel: Petrol
Year: 1988
Engine: 599cc

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 (50%)

! 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 F251EGC

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

Checking the history for this 1988 Suzuki Gsx600F (F251 EGC), we found 2 MOT results in the period of August 2022 to August 2022.

With 1 passes and 1 failures, the lifetime MOT pass rate stands at 50%. 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