Awarded contract

Published

Bike Skills Area revamp - design and construction

10 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

43,440 GBP

Current supplier

Bike Track (A Trading Style Of T G N Construction (Yorkshire) Lt

Description

The North York Moors National Park Authority invites quotations for the design, build, and construction of improvements to the Bike Skills Area. Elements of the revamp include: Changing and improving features on the existing bike skills area - upgrading and reconfiguring existing trail to give a refreshed feel. Creating an additional loop to the rear of the bike skills area up to 150 metres in length, making use of a former walking path - extending the offering and increasing course variety, while maintaining minimal ecological disturbance. All associated works outlined in the documents provided.

Unlock decision maker contacts.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

Hedge End Town Council

76,632.69 GBP

Published a day ago

Hedge End Town Council

34,943.8 GBP

Published a day ago

East Dunbartonshire Council

390,608.51 GBP

Published 3 days ago

East Dunbartonshire Council

239,995.69 GBP

Published 3 days ago

Community Centre

29,285 GBP

Published 10 days ago

West Northamptonshire Council

26,988.52 GBP

Published 16 days ago

Birmingham City Council

145,079 GBP

Published 24 days ago

Birmingham City Council

39,500 GBP

Published 24 days ago

Explore top buyers for public sector contracts

Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.

Explore over 15,000 buyers

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.