DVLA verified

Check service history

2016 MERCEDES-BENZ GLE3.0L Diesel

CO04 AGE

Vehicle Insight Summary

Free vehicle summary for CO04 AGE: 2016 MERCEDES-BENZ GLE (White, Diesel). Mileage: 79,340. MOT: not recorded. Tax: untaxed.

MOT

Expired

Expires 17/06/2026

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: 79,340
Fuel: Diesel
Year: 2016
Engine: 2987cc

Free vehicle health score

/ 100 · Average

Public record health check: 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

✓ Exceptional MOT pass rate (100%)

A score of 63 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 CO04AGE

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: 10 Jul 2026, 02:00

AI Analysis · MOT Narrative

This 2016 Mercedes-Benz Gle (CO04 AGE) has a recorded MOT history spanning from April 2022 to June 2025, with 4 MOT tests on record.

The vehicle has achieved an overall 100% pass rate, with 4 passes and 0 failures recorded. This consistent performance at MOT centers suggests this vehicle has been kept in good order.

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

PASS

FAIL

ADVISORY