Purchase Orders Greater than €20,000 - Q4 2017

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2017	CLAYTON HOTEL SILVERSPRINGS	ENTERTAINMENT EXPENSES	Purchase Order	€27,827.00
31 Dec 2017	SYNERGY SECURITY SOLUTIONS LTD	MANAGEMENT FEES	Purchase Order	€27,675.00
31 Dec 2017	C-CAD COMPUTING	I.T. RUNNING COSTS	Purchase Order	€26,434.00
31 Dec 2017	MALACHY WALSH & PARTNERS	CONSULT/PROF.FEES & EXPS	Purchase Order	€25,953.00
31 Dec 2017	KAIZEN ENERGY LIMITED	CONSULT/PROF.FEES & EXPS	Purchase Order	€24,445.00
31 Dec 2017	IRISH INTERNATIONAL TRADING LTD	MATERIALS	Purchase Order	€24,341.00
31 Dec 2017	MAIDA BUILDERS LIMITED	CAPITAL CONTRACTS	Purchase Order	€22,113.00
31 Dec 2017	CARROLL TEXTUREBLAST LTD	CAPITAL CONTRACTS	Purchase Order	€21,765.00
31 Dec 2017	WALSH DESIGN GROUP	CONSULT/PROF.FEES & EXPS	Purchase Order	€21,654.00
31 Dec 2017	PUNCH CONSULTING ENGINEERS	CONSULT/PROF.FEES & EXPS	Purchase Order	€21,353.00
31 Dec 2017	EVROS TECHNOLOGY GROUP	IT TRAINING	Purchase Order	€20,714.00
31 Dec 2017	INFRATECH TRAFFIC LTD	SUPPLY OF EQUIPMENT	Purchase Order	€20,251.00
31 Dec 2017	HEALTHMATIC LIMITED	MAINTENANCE CONTRACT	Purchase Order	€20,158.00
31 Dec 2017	O MAHONYS	PURCHASE OF LIBRARY BOOKS	Purchase Order	€20,000.00

^* 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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