Payments over €20,000 Q1 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2023	Townlink Construction Ltd.	O ice Refurbishment	Purchase Order	€426,925.00
31 Mar 2023	Public Authority Pension Services	Public Pensions	Purchase Order	€27,865.65
31 Mar 2023	LinkedIn Ireland	Subscription	Purchase Order	€24,354.00
31 Mar 2023	Dell Technologies	ICT Hardware	Purchase Order	€37,883.40
31 Mar 2023	CommSec Communications &	ICT Security	Purchase Order	€33,000.00
31 Mar 2023	Energia	Energy	Purchase Order	€90,000.00
31 Mar 2023	RGRE Kingram Ltd.	Rent	Purchase Order	€206,875.00
31 Mar 2023	Price Waterhouse Coopers	ICT Consultancy	Purchase Order	€27,060.00
31 Mar 2023	Price Waterhouse Coopers	Mgmt. Consultancy	Purchase Order	€332,100.00
28 Feb 2023	Hibernia Services Ltd.	ICT Consultancy	Purchase Order	€20,018.25
28 Feb 2023	CHI Crumlin	Presidents Salary	Purchase Order	€197,610.36
28 Feb 2023	Dublin City Council	Rates	Purchase Order	€101,010.00
28 Feb 2023	Price Waterhouse Coopers	ICT Consultancy	Purchase Order	€23,370.00
28 Feb 2023	Price Waterhouse Coopers	ICT Consultancy	Purchase Order	€27,599.97
28 Feb 2023	Empowering Leadership Ltd.	Leadership Development	Purchase Order	€25,092.00
28 Feb 2023	Townlink Construction Ltd.	O ice Refurbishment	Purchase Order	€274,550.00
31 Jan 2023	Pavillion House Ltd.	Car Parking	Purchase Order	€21,597.00
31 Jan 2023	Dublin City Council	Rates	Purchase Order	€99,160.00
31 Jan 2023	Townlink Construction Ltd.	O ice Refurbishment	Purchase Order	€445,209.42

^* 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.

Here is a project that encountered similar issues