An Garda Síochána — Q2 2015

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Jun 2015	GO SAFE	Outsourced Safety Camera Fees	Purchase Order	€1,494,402.55
30 Jun 2015	FARRELL BROTHERS ARDEE LTD	Furniture	Purchase Order	€28,105.50
30 Jun 2015	SKS COMMUNICATIONS LTD	Telecommunication Charges	Purchase Order	€28,423.56
30 Jun 2015	ORIEL AUTO SPECIALIST LTD	Towing Fees	Purchase Order	€23,378.28
30 Jun 2015	COLEMAN ELECTRONICS LTD	Consumables	Purchase Order	€21,133.70
30 Jun 2015	JBS JAMES BOYLAN SAFETY LTD.	Operational Equipment	Purchase Order	€168,105.08
30 Jun 2015	JBS JAMES BOYLAN SAFETY LTD.	Operational Equipment	Purchase Order	€30,442.50
30 Jun 2015	JBS JAMES BOYLAN SAFETY LTD.	Operational Equipment	Purchase Order	€268,402.68
30 Jun 2015	AT UNIFORM LTD	Uniform	Purchase Order	€23,766.06
30 Jun 2015	AUTO FLEET SERVICE CENTRE	Towing Fees	Purchase Order	€20,098.20
30 Jun 2015	GALWAY CITY RECOVERY SERVICE	Towing Fees	Purchase Order	€21,747.54
30 Jun 2015	THE RECOVERY NETWORK	Towing Fees	Purchase Order	€25,276.50
30 Jun 2015	THE RECOVERY NETWORK	Towing Fees	Purchase Order	€29,335.50

^* 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