Payments Over €20,000 Q2 2018

Spending records

Payment date^*	Supplier	Description	Kind	Amount
28 Jun 2018	Mason Hayes & Curran	Legal Services	Purchase Order	€57,780.09
19 Jun 2018	Byrne O Cléirigh	Professional Services	Purchase Order	€35,965.54
14 Jun 2018	ESP Consulting Ltd	Professional Services	Purchase Order	€38,241.40
14 Jun 2018	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€54,000.00
17 May 2018	GH Investments	Ltd Rent and Managed	Purchase Order	€102,983.25
17 May 2018	Byrne O Cléirigh	Professional Services	Purchase Order	€25,750.00
17 May 2018	Baringa treland Ltd	Professional Services	Purchase Order	€58,921.15
03 May 2018	Baringa Ireland Ltd	Professional Services	Purchase Order	€21,719.59
26 Apr 2018	South Dublin County	Council Rates	Purchase Order	€31,981.95
24 Apr 2018	Shepherd & Wedderburn	Legal Services	Purchase Order	€24,554.57
24 Apr 2018	Baringa Ireland Ltd	Services	Purchase Order	€35,906.16
19 Apr 2018	Benchmark Property	Rent and Managed	Purchase Order	€33,687.93
11 Apr 2018	NERA UK Limited	Professional Services	Purchase Order	€35,739.20
11 Apr 2018	Mason Hayes & Curran	Legal Services	Purchase Order	€89,088.10
11 Apr 2018	ESP Consulting Ltd	Professional Services	Purchase Order	€21,932.24
11 Apr 2018	Baringa Ireland Ltd	Professional Services	Purchase Order	€43,940.83

^* 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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