DVLA verified

1986 PANTHER KALLISTA2.8L Other

D272 XPE

Vehicle Insight Summary

With 42,296 miles recorded, this BLUE 1986 PANTHER KALLISTA runs on Other with a 2792cc engine. MOT is not on record and tax is unpaid.

MOT

Expired

Expires 25/03/2023

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: 42,296
Fuel: Other
Year: 1986
Engine: 2792cc

Free vehicle health score

/ 100 · Poor

Public record health check: Poor.

Based on free DVLA & DVSA signals. Premium checks for stolen/finance/write-off history are locked below.

✗ MOT Expired or Failed

! Tax Status Unknown

✗ Poor MOT pass rate (33%)

! Older vehicle

A score of 30 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 D272XPE

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

Checking the history for this 1986 Panther Kallista (D272 XPE), we found 3 MOT results in the period of December 2021 to March 2022.

The vehicle has achieved an overall 33% pass rate, with 1 pass and 2 failures recorded. 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