Payments over €20,000 Q1 2023

Spending records

Payment date^*	Supplier	Kind	Amount
31 Mar 2023	ZING TECHNOLOGY	Purchase Order	€27,552.00
31 Mar 2023	ZING TECHNOLOGY	Purchase Order	€26,863.20
31 Mar 2023	HALL RECRUITMENT	Purchase Order	€26,594.62
31 Mar 2023	ATLANTIC TECHNOLOGICAL UNIVERSITY (GALWAY)	Purchase Order	€24,000.00
31 Mar 2023	OSMS	Purchase Order	€29,516.88
31 Mar 2023	GREAVY AND CO	Purchase Order	€69,495.00
31 Mar 2023	WEST LANDSCAPES	Purchase Order	€30,985.44
31 Mar 2023	GALWAY HARBOUR COMPANY	Purchase Order	€78,593.32
31 Mar 2023	THE CLEANING CORPORATION LTD	Purchase Order	€31,401.58
31 Mar 2023	COMPLETE LABORATORY SOLUTIONS	Purchase Order	€30,603.04
31 Mar 2023	SOUTHERN SCIENTIFIC SERVICES	Purchase Order	€29,155.60
31 Mar 2023	GALWAY HARBOUR COMPANY	Purchase Order	€24,600.00
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€85,847.85
31 Mar 2023	ZING TECHNOLOGY	Purchase Order	€89,949.90
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€104,257.26
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€39,975.00
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€56,290.96
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€102,941.03
31 Mar 2023	CPL SOLUTIONS LTD	Purchase Order	€40,294.80
31 Mar 2023	ERGO SERVICES LTD	Purchase Order	€105,710.74
31 Mar 2023	PFH TECHNOLOGY GROUP	Purchase Order	€162,716.70

^* 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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