Purchase Orders Over €20,000 Q3 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2023	Datapac	Premises and Related Expenses	Purchase Order	€20,255.00
30 Sep 2023	Engage ESM Ltd	ICT Support and Maintenance	Purchase Order	€27,840.00
30 Sep 2023	William Fry LLP	Legal Fees	Purchase Order	€24,000.00
30 Sep 2023	ICT Services	Licensing/Subscription Services	Purchase Order	€24,784.80
30 Sep 2023	Philip Lee Solicitors	Legal Fees	Purchase Order	€30,000.00
30 Sep 2023	Aramark	Premises and Related Expenses	Purchase Order	€33,103.40
30 Sep 2023	CommSol		Purchase Order	€46,000.00
30 Sep 2023	William Fry LLP	Legal Fees	Purchase Order	€31,273.00
30 Sep 2023	Virgin Media Ireland Limited	Telecommunications	Purchase Order	€31,200.00
30 Sep 2023	Magnet Plus	Telecommunications	Purchase Order	€38,190.00
30 Sep 2023	Collins McNicholas Ltd	Recruitment Services	Purchase Order	€40,040.00
30 Sep 2023	Wagner-Hatfield		Purchase Order	€42,500.00
30 Sep 2023	Aramark	Premises and Related Expenses	Purchase Order	€43,680.00
30 Sep 2023	William Fry LLP	Legal Fees	Purchase Order	€52,753.00
30 Sep 2023	University of Oxford		Purchase Order	€75,000.00
30 Sep 2023	William Fry LLP	Legal Fees	Purchase Order	€75,811.50
30 Sep 2023	Aramark	Premises and Related Expenses	Purchase Order	€87,026.00
30 Sep 2023	Nordicity Limited		Purchase Order	€98,325.00
30 Sep 2023	Irish Film Institute	File Management and Archiving	Purchase Order	€145,998.00

^* 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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