Purchase Orders Over €20,000 Q2 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Jun 2023	Mc Carthy Insurance Group	Insurance	Purchase Order	€39,591.00
30 Jun 2023	DHKN Chartered Accountants	Audit services	Purchase Order	€39,298.00
30 Jun 2023	Patrick J Tobin & Co Ltd	Engineering Consultancy fees	Purchase Order	€175,960.00
30 Jun 2023	FVG Construction & Maintenance Ltd	Construction work	Purchase Order	€2,486,427.00
30 Jun 2023	Resolution Mode Ltd	Construction work	Purchase Order	€49,699.00
30 Jun 2023	Patrick J Tobin & Co Ltd	Engineering Consultancy fees	Purchase Order	€196,666.00
30 Jun 2023	Axo Architects Ltd	Architectural consultancy	Purchase Order	€173,911.00
30 Jun 2023	Marsh Ireland Ltd	Insurance	Purchase Order	€31,896.00
30 Jun 2023	Complete Laboratory Solutions	Monitoring and analysis of waste water	Purchase Order	€29,947.00
30 Jun 2023	Eircom Ltd	Mobile phone fees	Purchase Order	€26,445.00
30 Jun 2023	Comhairle Chontae na Gaillimhe	Planning permission fees	Purchase Order	€20,892.00
30 Jun 2023	Kesel Construction	Construction work	Purchase Order	€296,692.00
30 Jun 2023	Atkins	Engineering Consultancy fees	Purchase Order	€22,041.00
30 Jun 2023	Atkins	Engineering Consultancy fees	Purchase Order	€53,097.00

^* 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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