Menna Overview

Here’s a quick overview of RYKE LAUNDRY LTD 👀 — a Pinner based business that started in 2023.

RYKE LAUNDRY LTD

  • Company statusactive
  • Company No14854468
  • Age3 years 6 months Incorporated 8 May 2023
  • Officers1

Address

Ryke Laundry, 70 Pinner Green, Middlesex, Pinner, HA5 2AB, England

RYKE LAUNDRY LTD is an active company incorporated on 8 May 2023 and based in Pinner, England. The company was registered 3 years ago.

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  • Credit limit£
  • CCJs
    0
  • Company Type

    Private limited with Share Capital

  • Jurisdiction

    england & wales

  • Nature of business (SIC)

    96010 Washing and (dry-)cleaning of textile and fur products

  • Accounts

    Available to 31 May 2026. Next accounts due by 28 February 2027

See filing history on Companies House

Latest Activity

event
Confirmation Statement With No Updates

5 Months Ago on 19 Jun 2026

event
Change Registered Office Address Company With Date Old Address New Address

5 Months Ago on 18 Jun 2026

warning
Mortgage Create With Deed With Charge Number Charge Creation Date

7 Months Ago on 29 Apr 2026

finance
Accounts With Accounts Type Total Exemption Full

9 Months Ago on 10 Feb 2026

event
Confirmation Statement With No Updates

1 Year Ago on 13 Jun 2025

finance
Accounts With Accounts Type Total Exemption Full

1 Year Ago on 04 Feb 2025

event
Confirmation Statement With No Updates

2 Years Ago on 29 May 2024

event
Change Registered Office Address Company With Date Old Address New Address

2 Years Ago on 15 Jan 2024

enterprise
Incorporation Company

3 Years Ago on 08 May 2023

People

Officers1

Significant control (PSC)1

Officers

NameRoleDate of BirthAppointed
PATEL, Jay Kirandirector Aug 198508 May 2023

PSC (Persons with Significant control)

NameDate of BirthAppointed
Mr Jay Kiran Patel Aug 198508 May 2023

Some of the data shown on this platform is sourced from third parties or public records. While we do our best to keep everything accurate and up to date, we do not control or guarantee the reliability, completeness, or accuracy of external data sources.