Purchase Order Payments Above €100,000 Q4 2021

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2021	CPL HEALTHCARE	Management/Administration - Agency	Purchase Order	€112,056.00
31 Dec 2021	CPL HEALTHCARE LIMITED	UNCLASS PAY AGENCY EXP ADMIN	Purchase Order	€115,767.00
31 Dec 2021	UNITED DRUG WHOLESALE LTD	MEDICINES UNCLASSIFIED	Purchase Order	€111,110.00
31 Dec 2021	ENERGIA	Electricity	Purchase Order	€126,161.00
31 Dec 2021	GILEAD SCIENCES LTD	MEDICINES UNCLASSIFIED	Purchase Order	€185,364.00
31 Dec 2021	SYSMEX UK LTD	MISCELLANEOUS-UNCLASSIFIED	Purchase Order	€266,313.00
31 Dec 2021	SRCL LTD	CLINICAL WASTE TREATMENT	Purchase Order	€163,803.00
31 Dec 2021	AGFA HEALTHCARE NV	Contracts on Radiology Equipment	Purchase Order	€169,000.00
31 Dec 2021	ELIS TEXTILES LTD	LINEN SERVICE	Purchase Order	€131,618.00
31 Dec 2021	EIRCOM	Data Communication Line Charges & Rentals	Purchase Order	€121,757.00
31 Dec 2021	OCCIPITAL T/A COVALEN SOLUTIONS	Other Agency Staff - Non Clinical	Purchase Order	€416,520.00
31 Dec 2021	UCD	Pathology & Laboratory Tests	Purchase Order	€129,128.00
31 Dec 2021	UNIJOBS LTD	ICT Contracting costs	Purchase Order	€121,097.00
31 Dec 2021	GE MEDICAL SYSTEMS IRELAND LTD	RAD EQUIP - PURCH >=7K	Purchase Order	€356,430.00
31 Dec 2021	DUBLIN CITY COUNCIL	Rent	Purchase Order	€650,000.00

^* 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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