Payments Over €20,000 Q1 2019

Spending records

Payment date^*	Supplier	Description	Kind	Amount
28 Mar 2019	DNV GL Limited	Professional Services	Purchase Order	€41,499.56
14 Mar 2019	Mason Hayes &	Curran Legal Services	Purchase Order	€57,680.00
07 Mar 2019	Easter Bay Consultants	Ltd Professional Services	Purchase Order	€20,920.00
07 Mar 2019	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€30,000.00
20 Feb 2019	Mason Hayes &	Curran Legal Services	Purchase Order	€49,457.43
14 Feb 2019	Flood (Irl) Ltd	IT Equipment	Purchase Order	€23,190.73
14 Feb 2019	South Dublin County	Council Rates	Purchase Order	€32,333.40
14 Feb 2019	GH Investments	Ltd Rent and Managed	Purchase Order	€102,983.25
07 Feb 2019	Energy Exemplar	(Europe) Ltd. IT Licence Fees	Purchase Order	€39,861.00
07 Feb 2019	Benchmark Property	Rent and Managed	Purchase Order	€39,878.65
31 Jan 2019	NERA UX Limited	Professional Services	Purchase Order	€22,192.00
31 Jan 2019	Drury \| Porter Novelli	Professional Services	Purchase Order	€23,010.20
31 Jan 2019	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€48,000.00
31 Jan 2019	Mason Hayes &	Curran Legal Services	Purchase Order	€49,771.79
31 Jan 2019	OECD/IEA	Professional Services	Purchase Order	€70,000.00
24 Jan 2019	E-Bridge Consulting	GmbH Professional Services	Purchase Order	€42,978.00
17 Jan 2019	ESP Consulting Ltd	Professional Services	Purchase Order	€28,533.74
17 Jan 2019	Willis Risk Services	Professional Services	Purchase Order	€28,865.32
03 Jan 2019	Beacon Ventures	T/A Professional Services	Purchase Order	€21,586.50

^* 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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