Payments over €20,000 Q3 2017

Spending records

Payment date^*	Description	Kind	Amount
30 Sep 2017	Portfolio Management	Purchase Order	€21,561.92
30 Sep 2017	Tax Advice	Purchase Order	€85,081.56
30 Sep 2017	Occupancy	Purchase Order	€104,492.00
30 Sep 2017	Consultancy Services	Purchase Order	€123,000.00
30 Sep 2017	Accounting and Audit	Purchase Order	€125,006.32
30 Sep 2017	Loan Sales	Purchase Order	€143,546.60
30 Sep 2017	IT Costs	Purchase Order	€295,498.28
30 Sep 2017	Master Servicer	Purchase Order	€350,000.01
30 Sep 2017	Legal	Purchase Order	€364,440.95
30 Sep 2017	Borrower Recoverable	Purchase Order	€808,696.34
30 Sep 2017	Insurance	Purchase Order	€967,654.11
30 Sep 2017	Primary Servicer	Purchase Order	€2,404,881.75
30 Sep 2017	NTMA Recharge	Purchase Order	€10,393,267.20

^* 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