Global Radio Services Ltd

Organisation GB

30, Leicester Square, London WC2H 7LA

Global Radio Services Ltd is a registered company in the United Kingdom with company number 02049463. Since 5 July 2024, it has declared registered interests totalling £9,000 across one registration involving one MP. It is in the top 25% of benefactors by total declared value.

Summary generated on 04/09/2026 (View details)

Total donated
£0
All accepted donations
Total interest value
£9,000
Declared payments · ranked 671st of 2,772 benefactors
MPs receiving
1
Date range
Aug 2024 – Dec 2025
First to latest

Registered interests

1 interest

Suella Braverman Reform UK Employment and earnings
09 Sep 2024

Guest contributor to radio show - Global Radio Services Ltd

Payment received on 23 December 2025 - £750.00. for writing an article for the LBC website/app
(3 hours) £750
Payment received on 25 November 2025 - £750.00. Writing an article
(3 hours) £750
Payment received on 24 October 2025 - £750.00. Writing (not presenting a show)
(3 hours) £750
Payment received on 25 September 2025 - £1,500.00. For writing articles for LBC
(6 hours) £1,500
Payment received on 25 July 2025 - £750.00. for 1 article.
(4 hours) £750
Payment received on 25 June 2025 - £1,500.00. for two articles
(7 hours) £1,500
Payment received on 23 August 2024 - £1,000.00.
(3 hours) £1,000
Payment received on 25 September 2024 - £1,000.00. One-off Guest Presenting
(4 hours) £1,000
Payment received on 24 January 2025 - £1,000.00. Guest presenting
(5 hours) £1,000

Note: The financial connections area of this website collates data from multiple sources — the Electoral Commission, the parliament.uk API and Companies House — merging records using fuzzy matching, AI and manual confirmation in order to obtain a single canonical record for each individual or organisation which combines all of their political donations and financial interests. We are also working to link related organisations and individuals in a coherent and informative way. All other areas of this site display data exactly 'as is' from the original source.