Q1 2023 — Public Purse

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2023	REAL NATION	Mileage & Expenses (2022/23 school year) - unspent balance to be returned July 2023.	Purchase Order	€130,000.00
31 Mar 2023	SOPEXA	Q.2 Year 1 Advertising	Purchase Order	€130,603.12
31 Mar 2023	PHELAN CASWELL INSURANCES LTD	Type of Insurance: Event	Purchase Order	€136,444.56
31 Mar 2023	GARDEN EVENTS LTD	GEL 2nd Bloom payment, Jan-July 2023400-199 GEL Project Management 20.01.22	Purchase Order	€199,090.90
31 Mar 2023	CAPITA CUSTOMER SOLUTIONS	Capita Customer Solutions - SBLAS Beef & Lamb Spot	Purchase Order	€245,841.00
31 Mar 2023	GLANMORE FOODS LTD	Block 37 F&V for €263,302.32	Purchase Order	€263,203.32
31 Mar 2023	CAPITA CUSTOMER SOLUTIONS	Capita Customer Solutions - SDAS Unscheduled @ short notice SDAS (Joint Beef and Dairy) Spot audit @ €113	Purchase Order	€304,935.00
31 Mar 2023	REAL NATION	FD Project Management fees 1 Jan- 31 July 2023	Purchase Order	€308,118.08
31 Mar 2023	CAPITA CUSTOMER SOLUTIONS	Capita Customer Solutions - SDAS Commenced and Cancelled	Purchase Order	€412,078.00
31 Mar 2023	AGRI-DATA LTD	Agridata - 2023 SBLAS Audits	Purchase Order	€600,037.00

^* 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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