DVLA verified

MOT valid

2007 MERCEDES-BENZ S-Class3.0L Diesel

P70 SCS

Vehicle Insight Summary

With 145,513 miles recorded, this Grey 2007 MERCEDES-BENZ S-Class runs on Diesel with a 2987cc engine. MOT is currently valid and tax is unpaid.

MOT

Valid

Expires 08/09/2026

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: 145,513
Fuel: Diesel
Year: 2007
Engine: 2987cc

Free vehicle health score

/ 100 · Good

Public record health check: Good.

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

✓ Valid MOT

! Tax Status Unknown

✓ Exceptional MOT pass rate (100%)

! Older vehicle

A score of 85 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 P70SCS

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

Registered in 2007, this Mercedes-Benz S-Class with plate P70 SCS has undergone 4 MOT inspections since August 2022.

Across its entire MOT history, this Mercedes-Benz has a 100% success rate (4 passes and 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