An Garda Síochána — Q4 2014

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2014	IT Development	VANTAGE RESOURCES LTD	Purchase Order	€243,237.97
31 Dec 2014	Towing Fees	JD RECOVERY LTD	Purchase Order	€22,269.15
31 Dec 2014	Telecommunication Charges	EIRCOM LTD	Purchase Order	€706,828.45
31 Dec 2014	MOTORS Vehicle Purchase	KENILWORTH	Purchase Order	€497,860.00
31 Dec 2014	IT Support & Maintenance	UNITY TECHNOLOGY SOLUTIONS	Purchase Order	€24,328.81
31 Dec 2014	IRL LTD Vehicle Purchase	FIAT GROUP AUTOMOBILES	Purchase Order	€439,792.70
31 Dec 2014	Vehicle Purchase	HYUNDAI CARS IRELAND LTD	Purchase Order	€5,515,850.00
31 Dec 2014	Vehicle Purchase	HENRY FORD & SON LIMITED	Purchase Order	€561,350.50
31 Dec 2014	Towing Fees	THE RECOVERY NETWORK	Purchase Order	€51,475.50
31 Dec 2014	IT Hardware	DATA PAC LTD	Purchase Order	€23,937.03
31 Dec 2014	Mapping Services	GEO DIRECTORY	Purchase Order	€64,682.01
31 Dec 2014	Telecommunication Charges	MONGEY COMMUNICATIONS	Purchase Order	€81,322.75
31 Dec 2014	Operational Equipment	SIOEN (IRELAND)	Purchase Order	€75,337.50
31 Dec 2014	IT Support & Maintenance	DATAPAC LTD	Purchase Order	€31,765.76
31 Dec 2014	Towing Fees	GANNONS CITY RECOVERY	Purchase Order	€29,317.05
31 Dec 2014	IT Support & Maintenance	CANON (IRL) BUSINESS EQUIP LTD	Purchase Order	€28,375.00

^* 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.

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