Purchase Orders Over €20,000 Q3 2013

Spending records

Payment date^*	Supplier	Description	Kind	Amount
25 Sep 2013	Rubicon Heritage	Archaeological Works	Purchase Order	€131,610.00
13 Sep 2013	Dublin City Council	Planning Application Fees	Purchase Order	€27,279.00
13 Sep 2013	ESB Networks	Electricity Supply connection fees	Purchase Order	€86,510.00
13 Sep 2013	ESB Networks	Electricity Supply connection fees	Purchase Order	€23,835.00
03 Sep 2013	National Developmenet Finance Agency	Insurance consultancy services	Purchase Order	€21,525.00
02 Sep 2013	Ground Investigations Ireland Ltd.	Site Investigations	Purchase Order	€45,231.00
01 Aug 2013	Castle Developments Ltd.	Construction works	Purchase Order	€45,018.00
29 Jul 2013	Coady Partnership Architects	Consultancy Fees	Purchase Order	€130,596.00
19 Jul 2013	Mazars	Consultancy Fees	Purchase Order	€32,700.00
17 Jul 2013	Moore Ruble Yudell	Consultancy Fees	Purchase Order	€70,104.00
12 Jul 2013	Kennedy Security & Consultancy Ltd	Security	Purchase Order	€118,601.00
09 Jul 2013	Willis	Insurance	Purchase Order	€44,920.00
09 Jul 2013	McCallan Bros Ltd	Demolition works	Purchase Order	€182,136.00
09 Jul 2013	McCallan Bros Ltd	Demolition works	Purchase Order	€689,279.00
01 Jul 2013	Mongey Communications	Construction works	Purchase Order	€28,655.00
01 Jul 2013	Sierra Communications	Construction works	Purchase Order	€22,212.00

^* 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