Graham Engineering Limited

Graham Engineering Limited is a supplier of goods and services to public sector organisations across the UK.

Graham Engineering Limited is connected to 11 direct awards. Its largest procurement category by award volume is Construction structures and materials; auxiliary products to construction (except electric apparatus).

Recent contract awards to Graham Engineering Limited

Browse public sector contract awards given to Graham Engineering Limited. Select a contract to see contract details and award amount.

Showing 11 of 11 results

Graham Engineering Limited trend analysis

Explore a comprehensive breakdown of Graham Engineering Limited's contract history, including top procurement categories, award trends over time, and key buyer relationships.

Top procurement categories associated with Graham Engineering Limited

The procurement categories Graham Engineering Limited wins the most work in, ranked by award notices published over the last five years.

TitleCount
  1. Construction structures and materials; auxiliary products to construction (except electric apparatus)
    4
  2. Construction work
    3
  3. Sewage, refuse, cleaning and environmental services
    3
  4. Other community, social and personal services
    3
  5. Petroleum products, fuel, electricity and other sources of energy
    2
  6. Mining, basic metals and related products
    2
  7. Industrial machinery
    2
  8. Laboratory, optical and precision equipments (excl. glasses)
    1

Graham Engineering Limited awards over time

See Graham Engineering Limited's contract awards over the last 5 years.

Buyers awarding contracts to Graham Engineering Limited

The public sector organisations that have awarded Graham Engineering Limited the most contracts. Ranked by award notices published in the last five years.

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.