DVLA verified

1984 PANTHER KALLISTA2.8L Petrol

A625 LLM

Vehicle Insight Summary

PANTHER KALLISTA (1984, Petrol, 2792cc) — mileage recorded at 4,755. MOT status: not recorded. Road tax: not taxed. Check full history before buying.

MOT

Expired

Expires 07/07/2026

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: 4,755
Fuel: Petrol
Year: 1984
Engine: 2792cc

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 A625LLM

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: 16 May 2026, 01:04

AI Analysis · MOT Narrative

Checking the history for this 1984 Panther Kallista (A625 LLM), we found 5 MOT results in the period of May 2023 to July 2025.

Historically, this vehicle has passed 60% of its MOT tests, totaling 3 passes against 2 fails. This is an average MOT record. Some attention to recurring issues may be beneficial.

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

PASS

FAIL

ADVISORY