Payments Over €20,000 Q2 2021

Spending records

Payment date^*	Supplier	Kind	Amount
22 Jun 2021	Qualcom Systems Ltd IT Managed Services	Purchase Order	€22,389.34
09 Jun 2021	Qualcom Systems Ltd IT Managed Services	Purchase Order	€20,713.75
09 Jun 2021	Comptroller & Auditor General Professional Services	Purchase Order	€22,100.00
09 Jun 2021	Mason Hayes & Curran Legal Services	Purchase Order	€26,411.26
09 Jun 2021	McCann FitzGerald Solicitors Professional Services	Purchase Order	€137,088.43
25 May 2021	Deloitte Ireland LLP Professional Services	Purchase Order	€128,750.00
11 May 2021	Qualcom Systems Ltd IT Managed Services	Purchase Order	€21,003.48
11 May 2021	Baringa Ireland Ltd Professional Services	Purchase Order	€22,603.78
11 May 2021	GH Investments Ltd Rent and Managed Services	Purchase Order	€102,983.25
27 Apr 2021	Willis Towers Watson Insurance Professional Services	Purchase Order	€20,162.25
27 Apr 2021	RSM Ireland Business Advisory Professional Services	Purchase Order	€24,091.80
27 Apr 2021	Yellow Wood Energy Consulting Professional Services	Purchase Order	€24,920.00
27 Apr 2021	DNV GL Limited Professional Services	Purchase Order	€34,324.80
19 Apr 2021	MJ Flood (Irl) Ltd IT Licence Fees	Purchase Order	€22,115.51
19 Apr 2021	Benchmark Property Rent and Managed Services	Purchase Order	€33,733.15

^* 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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