Purchase Orders Over €20,000 Q4 2025

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2025	ARUP CONSULTING ENGINEERS	CONSULTANCY FEES CIVIL ENGINEERING WH	Purchase Order	€497,285.69
31 Dec 2025	ARUP CONSULTING ENGINEERS	CONSULTANCY FEES CIVIL ENGINEERING WH	Purchase Order	€313,351.11
31 Dec 2025	APHELION LTD T/A CIVIQ	OTHER CONSULTANCY & PROFESSIONAL FEES & WH	Purchase Order	€24,870.60
31 Dec 2025	AN GARDA SIOCHANA, FINANCE SECTION	MISC SERVICE	Purchase Order	€26,550.00
31 Dec 2025	AN COIMISIÚN PLEANÁLA	PLANNING FEES WH	Purchase Order	€30,000.00
31 Dec 2025	AN CHEATHRU BHAN CLG	ESTATE MANAGEMENT	Purchase Order	€20,300.00
31 Dec 2025	AMS CULTURAL HERITAGE CONSULTANCY LTD	LAND SURVEYING	Purchase Order	€124,686.56
31 Dec 2025	AMS CULTURAL HERITAGE CONSULTANCY LTD	CONSULTANCY FEES ARCHAEOLOGICAL WH	Purchase Order	€33,780.72
31 Dec 2025	ALAN FORDE	HOUSE PURCHASE	Purchase Order	€193,500.00
31 Dec 2025	ALAN FORDE	HOUSE PURCHASE	Purchase Order	€21,500.00
31 Dec 2025	AIMSIU TRACHT NA HOILEAIN	CARRIAGE OF GOODS	Purchase Order	€21,033.00
31 Dec 2025	AECOM IRELAND LIMITED	CONSULTANCY FEES CIVIL ENGINEERING WH	Purchase Order	€206,838.65
31 Dec 2025	AECOM IRELAND LIMITED	CONSULTANCY FEES CIVIL ENGINEERING WH	Purchase Order	€36,137.09

^* 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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