T&M Property Maintenance Ltd

T&M Property Maintenance Ltd is a supplier of goods and services to public sector organisations across the UK.

T&M Property Maintenance Ltd is connected to 9 direct awards.

Recent contract awards to T&M Property Maintenance Ltd

Browse public sector contract awards given to T&M Property Maintenance Ltd. Select a contract to see contract details and award amount.

  • Expired contract

    Flood Damage Works

    East Northamptonshire District Council£5,505Closing —
  • Expired contract

    Repairs

    East Northamptonshire District Council£7,632Closing —
  • Expired contract

    Repairs

    East Northamptonshire District Council£5,475Closing —
  • Expired contract

    Repairs

    East Northamptonshire District Council£7,632Closing —
  • East Northamptonshire District Council£6,535Closing —
  • East Northamptonshire District Council£6,973Closing —
  • East Northamptonshire District Council£12,512Closing —
  • Expired contract

    Works to 4 Longcliff Hill, Old Dalby

    East Northamptonshire District Council£5,565Closing —
  • Expired contract

    18 Welby Lane LE13 OTB

    East Northamptonshire District Council£6,390Closing —

Showing 9 of 9 results

T&M Property Maintenance Ltd trend analysis

Explore a comprehensive breakdown of T&M Property Maintenance Ltd's contract history, including top procurement categories, award trends over time, and key buyer relationships.

T&M Property Maintenance Ltd awards over time

See T&M Property Maintenance Ltd's contract awards over the last 5 years.

Buyers awarding contracts to T&M Property Maintenance Ltd

The public sector organisations that have awarded T&M Property Maintenance Ltd the most contracts. Ranked by award notices published in the last five years.

BuyersCount
  1. East Northamptonshire District Council
    8

The public sector suppliers most searched for on Stotles, with the number of notices naming each one.

Want to research a competitor or partner?

From first signal to bid submission, Stotles turns procurement chaos into predictable pipeline.