Purchase Orders Over €20,000 Q1 2022

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2022	International Forum Of Sovereign Wealth Funds	Systems & Services	Purchase Order	€22,732.17
31 Mar 2022	Mccann Fitzgerald Solicitors	Legal Fees	Purchase Order	€22,830.00
31 Mar 2022	William Fry	Legal Deals	Purchase Order	€24,401.50
31 Mar 2022	Deloitte Ireland Llp	Tax Deals	Purchase Order	€25,000.00
31 Mar 2022	Lowenstein Sandler	Legal Deals	Purchase Order	€27,108.54
31 Mar 2022	Jp Morgan (Pefs) (Uk) Limited	Systems & Services	Purchase Order	€51,043.75
31 Mar 2022	Bank Of New York Mellon	Global Custodian Fees	Purchase Order	€31,170.23
31 Mar 2022	Bank Of New York Mellon	Global Custodian Fees	Purchase Order	€24,322.30
31 Mar 2022	Oxera Consulting Llp	Consultancy Deals	Purchase Order	€75,000.00
31 Mar 2022	Irish Life Investment Managers	Cost Share Deals	Purchase Order	€93,346.00
31 Mar 2022	Kpmg	Tax Deals	Purchase Order	€25,000.00
31 Mar 2022	Kpmg	Tax Deals	Purchase Order	€25,480.00
31 Mar 2022	Kpmg	Tax Fees	Purchase Order	€81,500.00
31 Mar 2022	Arthur Cox	Legal Deals	Purchase Order	€81,621.00
31 Mar 2022	Arthur Cox	Legal Deals	Purchase Order	€24,105.00
31 Mar 2022	Arthur Cox	Legal Deals	Purchase Order	€47,758.95
31 Mar 2022	Goldman Sachs Asset Management International	Investment Manager Fees	Purchase Order	€1,372,291.20

^* 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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