Payments over €20,000 Q1 2017

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2017	LISTER MACHINE TOOLS LTD	Equipment	Purchase Order	€75,763.08
31 Mar 2017	WALSH ENGINEERING SUPPLIES LTD	Equipment	Purchase Order	€41,205.05
31 Mar 2017	LABQUIP (IRELAND) LTD	Equipment	Purchase Order	€35,496.57
31 Mar 2017	EVANS & KELLIHER CONSTRUCTION LTD	Building Works	Purchase Order	€33,533.01
31 Mar 2017	SPLASH SPORTS LTD	Contract Training	Purchase Order	€32,192.31
31 Mar 2017	C T CREATIVE TRAINING LTD	Contract Training	Purchase Order	€28,600.00
31 Mar 2017	ISLAND TRAINING TECHNOLOGIES LTD	Contract Training	Purchase Order	€22,024.80
31 Mar 2017	PHILIP RICE	Contract Training	Purchase Order	€42,320.00
31 Mar 2017	CAREER TRAINING AND PLANNING	Contract Training	Purchase Order	€43,620.00
31 Mar 2017	RADIO KERRY	Contract Training	Purchase Order	€38,240.00
31 Mar 2017	FODHLA BIA TEORANTA	Contract Training	Purchase Order	€28,439.60
31 Mar 2017	CAREER TRAINING AND PLANNING	Contract Training	Purchase Order	€39,700.42
31 Mar 2017	THE GALWAY TRAINING CENTRE LTD	Contract Training	Purchase Order	€24,930.00
31 Mar 2017	IRISH PUBLIC BODIES	Insurance	Purchase Order	€101,929.90
31 Mar 2017	JF FLYNN CONSTRUCTION	Building Works	Purchase Order	€26,607.69
31 Mar 2017	JOE CURRAN	Building Works	Purchase Order	€61,937.80

^* 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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