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In forceCredit riskLast checked 13 November 2026

Continuous-supervision lending data (DGC)

A regulatory return listed by the Bank of Thailand (BOT), Thailand.

Data BOT uses for its continuous (ongoing, between on-site visits) supervision of lending: the largest 20 groups of debtor companies, personal consumption loans, and debt restructuring and debtor assistance data. Source

Official title: รายงานข้อมูลเงินให้สินเชื่อตามแนวทางกำกับตรวจสอบแบบต่อเนื่อง

The facts

Who files
Specialised financial institutions, finance companies, credit foncier companies, financial business group companies, and (for some items) non-bank credit card and personal loan businesses. Source
How often
2 Monthly; 1 Quarterly (counting each dataset in the group; see the inventory for which). Source
Deadline
Within 21 days of month end for most items (1 month for non-bank personal loan and credit card businesses); quarterly items due by the end of the month after quarter end. Source
Format
XML. Reported via the DMS as the DGC and LPC (debt restructuring) data sets. Source
How it is filed
Filing routes recorded for the BOT: DAP (Data Acquisition and Publication); RDT (Regulatory Data Transformation). See how firms file with the BOT.
Status
In force
Legal basis
Group
Credit risk

Templates (3)

The tables and forms inside the return. Plain name first, the BOT's code in brackets.

  • แบบรายงานการปรับปรุงโครงสร้างหนี้และการให้ความช่วยเหลือลูกหนี้ (DS_DRD)
  • Debtor Groups Composition (DS_DGC)
  • LOAN FOR PERSONAL CONSUMPTION (DS_LPC)

Where the list was read: Source

Validation rules

The BOT publishes the checks it runs on this return. They could not be counted from the published material. They are written for people to read; software cannot run them as published. Source

How they are written: Written rules in BOT's documents, in Thai and English: a 'Validation Rule' column for each data element in DGC Data Set Manual version 1.0 (continuous-supervision lending data) (2 rows with a rule, in 1 tables); a 'Validation Rule' column for each data element in LPC Data Set Manual version 1.4 (debt restructuring and debtor assistance data) (10 rows with a rule, in 1 tables)..

BOT publishes no XML schema file or rule file that software can run as published. BOT's Data Set page describes three automated checks its DMS system runs on every submission: Basic Validation, Complex Validation (relationships within the same data set, run on data received by 17:00 each day) and Cross Validation (between data sets, with results shown to the reporting firm the next day).

The rules, on bot.or.th

How they were counted

Not counted: the checks are written for each data element in the manual's 'Validation Rule' column, often several to a cell, not as numbered rules.

Counts are in the BOT's own unit, so they are not comparable with other regulators' counts.

Public data

No published data from this return was found. No published figures from this return were found. Source

Official documents (2)

The BOT's own files, with the size and SHA-256 fingerprint of each as downloaded on 13 November 2026, so anyone can tell whether a copy is the same version.

Sources

Every page and document this return's facts were read from.

Knowing exactly what is collected, in what format and under which rules is the first step to real-time supervision. Line4 builds SupTech software for financial regulators that runs checks like these as each return arrives.

Line4's text and records here are free to reuse under CC BY 4.0. Please credit: “Source: Line4 regulatory submissions library (CC BY 4.0), https://www.line4.ai”. The regulators' documents, forms, taxonomies, rules and data belong to them: see BOT's reuse terms. This describes what regulators publish. It is not legal or regulatory advice: always rely on the regulator's own text.

Last checked 13 November 2026.