DVLA verified

1987 SUZUKI GN2500.2L Petrol

D378 CDL

Vehicle Insight Summary

SUZUKI GN250 (1987, Petrol, 249cc) — mileage recorded at 27,610. MOT status: not recorded. Road tax: not taxed. Check full history before buying.

MOT

Expired

Expires 24/04/2026

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: 27,610
Fuel: Petrol
Year: 1987
Engine: 249cc

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%)

! 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 D378CDL

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: 30 Jul 2026, 01:00

AI Analysis · MOT Narrative

Our records for this Suzuki Gn250 (D378 CDL) from 1987 show a total of 5 MOT tests between March 2023 and April 2025.

The vehicle has achieved an overall 60% pass rate, with 3 passes and 2 failures recorded. 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