Payments over €20,000 Q2 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
29 Jun 2023	Institute de Cervantes	7100	Purchase Order	€54,247.50
22 Jun 2023	JLL	7100	Purchase Order	€38,485.00
22 Jun 2023	JLL	7100	Purchase Order	€45,000.00
15 Jun 2023	Fieldfisher	7621	Purchase Order	€119,118.32
01 Jun 2023	Crowleys DFK	7602	Purchase Order	€24,874.50
11 May 2023	Fieldfisher	7621	Purchase Order	€21,055.96
11 May 2023	Fieldfisher	7621	Purchase Order	€27,047.64
11 May 2023	Fieldfisher	7600	Purchase Order	€30,135.00
11 May 2023	Fieldfisher	7622	Purchase Order	€33,242.29
11 May 2023	Fieldfisher	7600	Purchase Order	€53,354.94
04 May 2023	Crowleys DFK	7602	Purchase Order	€21,889.56
04 Apr 2023	Fieldfisher	7621	Purchase Order	€20,289.04
04 Apr 2023	Fieldfisher	7622	Purchase Order	€23,208.50
04 Apr 2023	Fieldfisher	7621	Purchase Order	€23,752.36
04 Apr 2023	Crowleys DFK	7602	Purchase Order	€24,874.50
04 Apr 2023	Fieldfisher	7600	Purchase Order	€31,549.90
04 Apr 2023	JLL	7100	Purchase Order	€38,485.00
04 Apr 2023	JLL	7100	Purchase Order	€45,000.00
04 Apr 2023	Fieldfisher	7600	Purchase Order	€47,100.00

^* 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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