Where was the JS26L number plate registered?

Vehicles with the JS26L prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS26L registration plate released?

The JS26L series was issued during March 2026 to August 2026.

What is the MOT pass rate for JS26L vehicles?

MOT pass rates for JS26L series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JS26L Series Number Plates

UK vehicles during March 2026 to August 2026 with registration prefix JS26L.

Area Office: DVLA Region (JS)
Release Period: March 2026 to August 2026
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 50% (1)

LAND ROVER 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Green1 vehicles

Red1 vehicles

Active Plates in JS26L Series(2 of 2 displayed)

Filter by 6th Letter:

JS26LEE

MOT Expired

BMW M5 PHEV AUTO

Hybrid Electric (Clean) · Red

First Used: Mar 2026
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

JS26LOU

MOT Expired

LAND ROVER DEFENDER XDYNAMIC HSE D MHEV A

Diesel · Green

First Used: Mar 2026
MOT Expiry: —
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for JS26L Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

BMW Common Problems LAND ROVER Common Problems

Frequently Asked Questions about JS26L Plates

Where was the JS26L number plate series registered?

Vehicles starting with JS26L were assigned to the DVLA regional office covering the UK. The first two letters (JS) identify the memory tag assigned by the DVLA.

What registration period is JS26L?

The JS26L age identifier corresponds to vehicles first registered between March 2026 to August 2026.

How can I check the MOT history of a JS26L vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.