DVLA verified

Check service history

2016 BMW 2 SERIES3.0L Petrol

BM16 MMM

Vehicle Insight Summary

BMW 2 SERIES (2016, Petrol, 2979cc) — mileage recorded at 65,296. 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: 65,296
Fuel: Petrol
Year: 2016
Engine: 2979cc

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 BM16MMM

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: 24 Jun 2026, 01:00

AI Analysis · MOT Narrative

Registered in 2016, this BMW 2 Series with plate BM16 MMM has undergone 4 MOT inspections since June 2022.

Historically, this vehicle has passed 100% of its MOT tests, totaling 4 passes against 0 fails. 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