SWIFT MT742 Documentary Credit Reimbursement

This dataset provides comprehensive details of SWIFT MT742 documentary credit reimbursement claims, capturing payment, banking, beneficiary, and claim status information for cross-border trade finance operations. It enables robust tracking, auditing, and analysis of reimbursement processes between nominated and reimbursing banks, supporting compliance, operational efficiency, and financial risk management.

  • last updated 29 Oct 2025
  • by GoMask
The brief that made it

Automated reconciliation of reimbursement claims for trade finance operations

Sample rows

preview · 8 of 200 rows · all 19 columns
claim_idstringclaim_statusstringcharges_claimedfloatcharges_currencystringdocumentary_credit_referencestringnominated_bank_swift_codestringreimbursing_bank_swift_codestringclaim_datedatepayment_datedateclaim_currencystringclaim_amountfloatbeneficiary_namestringbeneficiary_account_numberstringapplicant_namestringreimbursement_instructionsstringdocumentary_credit_issue_datedatedocumentary_credit_expiry_datedatelast_updateddatetimeremarksstring
A1B2C3D4E5approved45.5GBPDC2021-102938HSBCGB2LXXXBARCGB22XXX2022-03-152022-03-14GBP12500.35Greenfield Textiles Ltd.GB83BARC20474473107196Sunrise Imports PlcRelease on document receipt2022-02-282022-08-312022-03-16T10:14:23blank
F6G7H8J9K1settledblankblankDC2020-293847BOFAUS3NXXXWELLSUS6XXX2021-11-222021-11-20USD840Pacific Marine LLCUS8931000065478392156BlueWater Supplies Inc.blank2021-10-152022-01-152021-11-23T16:22:55blank
L2M3N4O5P6pending950EURDC2022-384756DEUTDEFFXXXCOMMERZDEXXX2023-01-102023-01-08EUR275000Alpen Foods AGDE89370400440532013000Nordic Trading GmbHUrgent processing required2022-12-012023-06-012023-01-11T09:43:00High value, expedited settlement
Q7R8S9T1U2approved400JPYDC2019-475839SMBCJPJTXXXMUFGJPJTXXX2020-05-192020-05-17JPY9900000Fuji Electric Co Ltd.JP9000100000123456789012Techno Holdings KKRelease after cross-check2020-03-052020-12-052020-05-19T13:08:44blank
V3W4X5Y6Z7pending2100CNYDC2023-192837ICBKCNBJXXXBOCICNBJXXX2023-07-022023-07-01CNY2300000Shanghai Plastics SACN123456789012345678Oriental Exporters Ltd.Release in tranches2023-06-152023-12-152023-07-02T17:02:14blank
A8B9C0D1E2settled0GBPDC2022-758493NATAGB2LXXXLLOYDGB2LXXX2022-09-142022-09-12GBP17.99QuickPrint Solutions Ltd.GB62NWBK60161331926819Alpha Office Supplies Plcblank2022-09-012022-12-012022-09-15T10:51:14blank
F3G4H5J6K7approved550EURDC2021-182736BNPAFRPPXXXCITIFRPPXXX2021-06-282021-06-27EUR120000Parisian Foods SASFR1420041010050500013M02606EuroGrocers SAStandard release terms2021-05-202021-12-202021-06-29T09:29:00blank
L8M9N0O1P2pending1200SGDDC2020-928374DBSSSGSGXXXUOBVSGSGXXX2021-02-102021-02-08SGD250000Lion City Electronics Pte LtdSG910000000123456789Pacific Digital SG Ltd.Urgent processing2020-12-152021-06-152021-02-11T11:00:00High value, expedited

What the 200 rows show

from the 200-row sample

Pending (claim status) stands out: mean charges_claimed is 1,831, against 232.6 for the rest.

  • 135.0median charges_claimed
  • 18claim currencies
  • 52reimbursing bank swift codes
  • 53nominated bank swift codes
  • 12,000median claim_amount
Mean charges_claimed by claim_status129 rows
01,0002,0001,831pending44 rows348.1approved54 rows0.0rejected8 rows42.3settled23 rows
charges_claimed129 rows, in bands of 1,000
050100981942201304,0008,000charges_claimed →

Median 135.0, from 0.0 to 8,000.

charges_currency129 rows with a value · 71 left blank
  1. EUR19
  2. USD17
  3. CNY15
  4. SGD13
  5. GBP12
  6. AUD11
  7. JPY9
  8. CAD6
  9. INR6
  10. CHF6
19 columns by typefrom the column list below
  • string 12
  • float 2
  • date 4
  • datetime 1

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
claim_idstringUnique identifier for the reimbursement claim.uniqueA1B2C3D4E5
documentary_credit_referencestringReference number of the underlying documentary credit.DC2021-102938
nominated_bank_swift_codestringSWIFT code of the nominated bank that made the payment.HSBCGB2LXXX
reimbursing_bank_swift_codestringSWIFT code of the reimbursing bank to which the claim is sent.BARCGB22XXX
claim_currencystringCurrency code (ISO 4217) of the claimed amount.GBP
beneficiary_namestringName of the beneficiary under the documentary credit.Greenfield Textiles Ltd.
beneficiary_account_numberstringAccount number of the beneficiary.GB83BARC20474473107196
applicant_namestringName of the applicant who requested the documentary credit.Sunrise Imports Plc
reimbursement_instructionsstringDetailed instructions for reimbursement as provided by the nominated bank.optionalRelease in tranches
charges_currencystringCurrency code for the charges claimed.optionalGBP
claim_statusstringCurrent status of the claim (e.g., pending, approved, rejected, settled).pending · approved · rejected · settledapproved
remarksstringAdditional remarks or comments related to the claim.optionalHigh value, expedited
Numbers 2 columns
claim_amountfloatAmount claimed for reimbursement.0.01 or more12500.35
charges_claimedfloatAdditional charges claimed (e.g., fees, commissions).0 or more · optional45.5
Dates and times 5 columns
claim_datedateDate the claim for reimbursement is made.2022-03-15
payment_datedateDate the nominated bank made the payment under the documentary credit.2022-03-14
documentary_credit_issue_datedateDate the documentary credit was issued.optional2022-02-28
documentary_credit_expiry_datedateExpiry date of the documentary credit.optional2022-08-31
last_updateddatetimeTimestamp of the last update to the claim record.2022-03-16T10:14:23

Use it for

  • median charges…135.0129 rowsmean charges claimed …1.8kpend…348.1appr…0.0reje…42.3sett…

    A finance dashboard

    Charges_claimed by claim_status and a breakdown of charges_currency. Excel, Power BI or Tableau.

  • Why do the 44 pending rows have a mean charges_claimed of 1,831?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable claims with documentary_credit_reference, nominated_bank_swift_code and reimbursing_bank_swift_code to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows19 columns
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blueprint · swift-mt742-documentary-credit-reimbursement

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Reimbursement claim reference unique
  • LC number referenced
  • Payment date specified
  • Claim amount and currency
  • Reimbursing bank identified
  • Claiming bank details
  • Payment made to beneficiary confirmed
  • Documents forwarded separately
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
swift-mt742-documentary-credit-reimbursement

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