Purchase Orders Over €20,000 Q3 2022

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2022	RPS CONSULTING ENGINEERS	Consultants	Purchase Order	€27,417.01
30 Sep 2022	TTM HEALTHCARE LTD	Contracts and Trade Services	Purchase Order	€26,946.38
30 Sep 2022	CULLENBRIDGE SERVICES T/A HOLLYFORT SERVICE	Contracts and Trade Services	Purchase Order	€26,250.83
30 Sep 2022	CSC ENVIRONMENTAL SERVICES LTD T/A ASHWOOD GROUP	Contracts and Trade Services	Purchase Order	€25,000.00
30 Sep 2022	FIELD TURF PITCHES (SOCCER) LTD	Contracts and Trade Services	Purchase Order	€24,866.50
30 Sep 2022	AL READ ELECTRICAL CO LTD	Contracts and Trade Services	Purchase Order	€23,054.43
30 Sep 2022	DUN LAOGHAIRE-RATHDOWN CHAMBER OF COMMERCE	Consultants	Purchase Order	€23,000.00
30 Sep 2022	TTM HEALTHCARE LTD	Contracts and Trade Services	Purchase Order	€22,152.74
30 Sep 2022	AMORYS SOLICITORS	Legal Fees and Expenses	Purchase Order	€21,342.88
30 Sep 2022	REDLOUGH LANDSCAPES LTD	Contracts and Trade Services	Purchase Order	€21,205.72
30 Sep 2022	ACTIVE CONNECTIONS LTD	Community Events	Purchase Order	€21,000.00
30 Sep 2022	TTM HEALTHCARE LTD	Contracts and Trade Services	Purchase Order	€20,947.47
30 Sep 2022	TTM HEALTHCARE LTD	Contracts and Trade Services	Purchase Order	€20,904.11
30 Sep 2022	ACTIVE CONNECTIONS LTD	Community Events	Purchase Order	€20,000.00

^* 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