Purchase Orders Over €20,000 Q1 2025

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2025	MERCER LIMITED	Other advisory	Purchase Order	€125,000.00
31 Mar 2025	LANE CLARK & PEACOCK LLP	Actuarial services	Purchase Order	€54,918.00
31 Mar 2025	Sequana Management	Staff meals, events and entertainment	Purchase Order	€24,477.40
31 Mar 2025	COMPASS CATERING SERVICES IRELAND LTD	Staff canteen subsidy and catering	Purchase Order	€36,161.73
31 Mar 2025	COMPASS CATERING SERVICES IRELAND LTD	Staff canteen subsidy and catering	Purchase Order	€30,993.75
31 Mar 2025	COMPASS CATERING SERVICES IRELAND LTD	Staff canteen subsidy and catering	Purchase Order	€41,669.99
31 Mar 2025	DELOITTE AND TOUCHE	Other advisory	Purchase Order	€99,000.00
31 Mar 2025	DELOITTE AND TOUCHE	Financial advisory	Purchase Order	€36,810.00
31 Mar 2025	IT service provider	IT hardware (including support and maintenance)	Purchase Order	€20,625.00
31 Mar 2025	Amrop (Strategic Executive Initiative)	Recruitment	Purchase Order	€20,000.00
31 Mar 2025	Amrop (Strategic Executive Initiative)	Recruitment	Purchase Order	€36,666.66
31 Mar 2025	KPMG	Internal audit	Purchase Order	€92,861.25
31 Mar 2025	KPMG	Internal audit	Purchase Order	€64,288.56
31 Mar 2025	KPMG	Financial advisory	Purchase Order	€34,090.00
31 Mar 2025	ARTHUR COX	Legal advisory	Purchase Order	€28,011.50

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

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