Philip Lee
Philip Lee is a supplier of goods and services to public sector organisations across the UK.
Philip Lee is connected to 58 direct awards. Its largest procurement category by award volume is Business services: law, marketing, consulting, recruitment, printing and security.
Recent contract awards to Philip Lee
Browse public sector contract awards given to Philip Lee. Select a contract to see contract details and award amount.
- Expired contract
RFT for National Framework Agreement for the Provision of Legal Services to Public Sector (excluding Central Government Departments)
- Expired contract
Mini Competition for Lot 11- Provision of Legal Services to the Office of the Comptroller and Auditor General
- Awarded contract
Provision of Legal Services to University College Cork
- Expired contract
Lot 7 Sub Lot 8: Energy RFT for National Framework Agreement for the Provision of Legal Services to Public Sector (excluding Central Government Departments)
Showing 4 of 58 results
Philip Lee trend analysis
Explore a comprehensive breakdown of Philip Lee's contract history, including top procurement categories, award trends over time, and key buyer relationships.
Top procurement categories associated with Philip Lee
The procurement categories Philip Lee wins the most work in, ranked by award notices published over the last five years.
- Business services: law, marketing, consulting, recruitment, printing and security10
- Software package and information systems1
- Administration, defence and social security services1
Philip Lee awards over time
See Philip Lee's contract awards over the last 5 years.
Buyers awarding contracts to Philip Lee
The public sector organisations that have awarded Philip Lee the most contracts. Ranked by award notices published in the last five years.
Most searched government suppliers
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.