Awarded contract

Published

Receipt & Processing of Selected Waste Materials

6 suppliers have saved this notice.

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

Value

3,360,187 GBP

Current supplier

H W Martin Waste Ltd

Description

Norse Group are seeking bids from suitably qualified supplier to receive and treat contract Waste from Amber Valley Norse on behalf of Amber Valley Borough Council. Waste is collected via kerbside collections in RCV’s from 7.5 – 26 tonne. The RCV’s collecting the material will deliver the waste directly to the transfer station. Approximate annual tonnage is •DMR is 9,000 tonnes of domestic waste with approximately 10-15 loads per day. •Additionally, there is commercial/trade DMR waste of approximately 400 tonnes. •Glass is 2,500 tonnes with approximately 10-15 loads per day. ## Contract award

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.

UK Research & Innovation

280,000 GBP

Published a month ago

NHS Business Services Authority

0 GBP

Published 2 months ago

Police and Crime Commissioner for Avon and Somerset

80,000 GBP

Published 2 months ago

Calderdale Norse Limited

1,164,199.68 GBP

Published 2 months ago

The Police, Fire and Crime Commissioner for Northamptonshire

158,627 GBP

Published 2 months ago

City of Doncaster Council

48,000 GBP

Published 3 months ago

South East Consortium

0

Published 3 months ago

Kent County Council

160,000 GBP

Published 3 months 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.