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Thailand · Last checked 13 November 2026

Bank of Thailand (BOT): regulatory returns

The Bank of Thailand supervises the financial institutions system to keep it safe, efficient and stable. Under the Financial Institution Business Act it supervises commercial banks, finance companies, credit foncier companies and representative offices; under other Acts it supervises specialised financial institutions, asset management companies, credit card, personal loan and nano-finance businesses, and payment and foreign exchange service providers, and is appointed by the Ministry of Finance to examine the National Credit Bureau. Source

Website: www.bot.or.th/en/home.html

31returns
16 of 31returns with published validation rules
0 of 31returns with firm-by-firm public data
53official documents, 52 with a SHA-256 fingerprint

File formats: Excel, XML.

What this page covers

31 returns BOT collects from the financial institutions and non-bank businesses it supervises, built mainly from two of BOT's own anchors: its 'Data Acquisition and Publication (DAP)' hub page, which links every report-document page by sector (financial institutions, financial markets, RDT credit, payment), and its 'Dataset inventory by FI type and regulation' spreadsheet (updated 30 Jun 2026), which lists 434 individual datasets grouped under 54 report pages, each with its own frequency, deadline and the institution types and legal bases that apply. One return in this file is usually one of those report pages, with its datasets recorded as templates; 30 are in force and 1 (the financial service fees and interest rate report) is discontinued, replaced by the Market Conduct report in 2021. All BOT pages read for this file are in Thai; no English equivalents exist for the report-document, dataset-inventory or individual form pages, so the Thai official title is kept in each return's official_name and the plain English name and all description text were translated for this file. The regulator block, the licence quote and the supervised-population list in Thailand-financial-institutions-and-financial-service-providers.html, the SFI page and the payment-systems-supervision page are the only pages read in English. Covers, in priority order: commercial banks (Thai banks, foreign bank subsidiaries, retail banks, foreign bank branches and domestic systemically important banks), the 7 specialised financial institutions BOT supervises on prudential issues under delegation from the Ministry of Finance (Government Savings Bank, Bank for Agriculture and Agricultural Cooperatives, Government Housing Bank, Export-Import Bank of Thailand, SME Development Bank of Thailand, Islamic Bank of Thailand, Thai Credit Guarantee Corporation), finance companies, credit foncier companies, asset management companies, representative offices, and the non-bank businesses BOT supervises under the Declaration of the Revolutionary Council No. 58 (credit card, personal loan, nano-finance and peer-to-peer lending platform businesses) and the Payment Systems Act 2017 (electronic payment service providers). Left out: insurers and securities firms, which the Insurance Commission and the Securities and Exchange Commission supervise, not BOT; the National Credit Bureau, which BOT only examines as appointed by the Ministry of Finance and which does not itself file a periodic return to BOT in the sense this file covers; the non-bank businesses BOT licenses only under the Exchange Control Act B.E. 2485 (1942) as amended (money changers, authorised persons, international money transfer agents, FX brokers, treasury centres, gold-trading companies, and securities companies authorised for FX business), whose report pages were found on the DAP hub but not built into full returns here; one-off and time-bound debtor-assistance schemes with their own periodic reporting (COVID-19 debtor relief, the 2021 flood-disaster level-4 measures, the 'Khun Soo Rao Chuay' and 'Pid Nee Wai Pai Tor Dai' debt-relief programmes, the Persistent Debt measure, the SMEs Credit Boost guarantee scheme, the multi-creditor debt-restructuring (DR BIZ) project, the debt-mediation fair project, and suspicious-transaction behaviour reporting); mutual fund and other purely statistical financial-market datasets whose report pages exist but were not read in depth; and every earlier/historical version of a form, which BOT keeps on the same pages as the current version. Depth was kept on the main sectors BOT lists rather than building every one of the roughly 15 further report-document pages on the DAP hub. Source

How firms file

  • DAP (Data Acquisition and Publication)

    The electronic channel through which financial institutions, non-bank businesses BOT supervises and government agencies send data to, and receive data from, BOT, supporting direct login by the firm's users and machine-to-machine access by API. Firms submit the XML data sets this file describes (FI, financial market, payment and the person/entity registry) through DAP's underlying Data Management System (DMS). Governed by BOT's Regulation on Electronic Data Submission Services Concerning BOT's Data Management System, B.E. 2546 (2003), as amended, most recently by BOT Notification No. SorRorKor. 36/2569 dated 27 July 2026. Source

  • RDT (Regulatory Data Transformation)

    A newer, more granular loan-level reporting channel BOT is phasing in for credit data (RDT Credit, counterparty reference data, and hire-purchase/leasing credit data), alongside and in some cases instead of the DMS XML data sets, for the institutions BOT notifies. Source

The returns (31)

Plain name first, the BOT's code in brackets. Each return has its own page: what it is for, who files it, the deadline, the templates, the validation rules, the documents and the sources.

Financial institution data set (Data Set)Group: Balance sheet and prudential dataHow often: VariesFormat: XMLIn force
Consolidated supervision report (รายงานการกำกับแบบรวมกลุ่ม)Group: CapitalHow often: VariesFormat: XMLIn force
Risk management data (Risk Mgt FI)Group: Risk managementHow often: VariesFormat: XMLIn force
Significant activities template (SAR)Group: Credit riskHow often: QuarterlyFormat: XMLIn force
Partially consolidated lending (PCL)Group: Credit riskHow often: MonthlyFormat: XMLIn force
Operational risk loss data pooling (OLDP)Group: Operational riskHow often: QuarterlyFormat: XMLIn force
Non-performing assets awaiting sale (NPA)Group: Asset qualityHow often: VariesFormat: XMLIn force
Short statement of assets and liabilities (SAL)Group: Financial statementsHow often: MonthlyFormat: XMLIn force
Assets eligible as collateral for BOT liquidity assistance (ELF Collateral)Group: LiquidityHow often: VariesFormat: ExcelIn force
Liquid assets report (Liquidity Assets)Group: LiquidityHow often: MonthlyFormat: XML, ExcelIn force
FIDF fund contribution calculation report (FIDF Contribution)Group: LiquidityHow often: Every six monthsFormat: ExcelIn force
Service channel data (Distribution Channel)Group: Branches and distributionHow often: VariesFormat: XMLIn force
Continuous-supervision lending data (DGC)Group: Credit riskHow often: VariesFormat: XMLIn force
Retail loan data (PLR / Nano / P2P)Group: Credit riskHow often: VariesFormat: XMLIn force
Real estate sector credit report (MGL)Group: Credit riskHow often: VariesFormat: XMLIn force
SME debtor data (SME Data Set)Group: Credit riskHow often: MonthlyFormat: XMLIn force
Hire purchase and leasing credit data (HPLS)Group: Credit riskHow often: VariesFormat: XMLIn force
RDT credit dataGroup: Credit riskHow often: VariesFormat: XMLIn force
Representative office report (RepOffice)Group: Other institutionsHow often: MonthlyFormat: ExcelIn force
Asset management company report (AMC Data Set)Group: Other institutionsHow often: VariesFormat: XMLIn force
Significant business partners and financial agents dataGroup: Operational riskHow often: VariesFormat: XMLIn force
Financial statement report for non-bank credit businesses (FPN)Group: Financial statementsHow often: QuarterlyFormat: XMLIn force
Foreign currency position report (FX_X1_1 / FX_X2 / FX_X3)Group: Foreign exchange and market riskHow often: VariesFormat: ExcelIn force
Non-resident lending/borrowing and FX data (DF_IIA and related)Group: Foreign exchange and market riskHow often: VariesFormat: XMLIn force
Daily FX trading data (FX Daily Trading)Group: Foreign exchange and market riskHow often: DailyFormat: XMLIn force
Derivatives and related transactions reportGroup: Foreign exchange and market riskHow often: MonthlyFormat: ExcelIn force
Lending interest rate report (LAR-INT)Group: Interest rates and feesHow often: MonthlyFormat: ExcelIn force
Market conduct reportGroup: Market conductHow often: VariesFormat: XMLIn force
Financial service fees and interest rate report (FRS)Group: Interest rates and feesHow often: VariesFormat: ExcelDiscontinued
Electronic payment service business report (e-Payment)Group: Payment servicesHow often: VariesFormat: XMLIn force
Payment supervision data report (Payment Governance)Group: Payment servicesHow often: VariesFormat: XMLIn force

Download this list: BOT returns (CSV) or everything on this page (JSON), free to reuse under CC BY 4.0 with the credit line on the library page.

Data the BOT publishes from the returns

  • Summary Statement of Assets and Liabilities

    Added up across firms · Web table

    Aggregate monthly balance sheet statistics for commercial banks, finance companies and credit foncier companies, published from the Short Statement of Assets and Liabilities (SAL) return. Source

    From: SAL, Data Set (FI)

    Reuse: Same as the regulator's general licence.

  • Commercial Banks' Report on Deposits and Credits Classified by Districts

    Added up across firms · zip

    Aggregate regional deposits and credit statistics for commercial banks, published as a downloadable file; the link to the underlying return is by subject only. Source

    From: Data Set (FI)

    Reuse: Same as the regulator's general licence.

  • Daily Interest Rates of Commercial Banks

    Firm by firm · Web table; historical files in Excel (xlsx)

    Each named commercial bank's deposit rates (savings and fixed deposits by term) and loan rates, by day. The page offers the current series and historical files for 4 January 2017 to 7 June 2023 (Deposit Rates and Loan Rates, Excel). BOT does not say which return the rates come from, so no return is linked. Source

    Reuse: Same as the regulator's general licence.

  • Payment statistics

    Added up across firms · Web table

    Published payment system statistics; the link to the Electronic Payment Service Business return is by subject only. Source

    From: e-Payment

    Reuse: Same as the regulator's general licence.

Reuse terms for the BOT's documents

Bank of Thailand: Terms & Conditions, website usage agreement between Bank of Thailand (BOT) and the user, checked 13 November 2026. In the BOT's words:

Use of this Site constitutes agreement with the following terms and conditions. 1. BOT maintains this web site (the "Site") as a courtesy to those who may choose to access the Site ("Users"). The information presented herein is for informative purposes only. BOT is pleased to allow Users to visit the Site and download and copy the information, documents and materials (collectively, "Materials") from the Site for User use subject to the terms and conditions outlined below, and also subject to more specific restrictions that may apply to specific material within this Site. [...] 11. BOT reserves the right to deny in its sole discretion any user access to this Site or any portion thereof without notice.
Can others share copies?
Unclear.
Conditions
Downloading and copying the Materials is allowed for the user's own use, subject to the terms and to any more specific restrictions on particular material. The user accepts that BOT gives no warranty, and agrees to indemnify BOT against claims arising from the user's use of the site. The terms do not say whether copies may be shared with others.
What the library does
Keeps only the link, size and SHA-256 fingerprint of each document. The Bank of Thailand lets users download and copy its materials for their own use, but its terms do not say that copies may be shared with others. So the library keeps only the link, size and SHA-256.

What could not be verified

Said plainly, so nobody relies on a fact the sources do not give.

  • Several returns (representative-office-report, fx-position-report, derivatives-report, lending-interest-rate, liquid-assets, fidf-contribution) publish only an Excel or zipped Excel form on their BOT page, with no statement of whether that file itself is the thing filed, or whether it is converted into the DMS XML format described on the Data Set page (datasetfifm.html); recorded as 'Excel' or left open in formats.text, named page by page.
  • app.bot.or.th (the FIPCS notification and circular system, and the BOTWEBSTAT statistics viewer) has no robots.txt (checked 2026-11-13, HTTP 404) and is covered by the same general website terms as www.bot.or.th; its search-form pages were read for context (the document-group taxonomy under which BOT files reporting notifications) but its full notification archive was not systematically searched, so individual circular or notification numbers mentioned on report pages (for example the circular discontinuing the fee/interest-rate report, and the DMS submission-channel letters cited on the data-submission-dmsda.html page) are recorded as named by the page that cites them, not as documents fetched from FIPCS itself.
  • Validation rules are counted only where BOT numbers them (RDT credit data 354, HPLS 52, business partners 36, non-resident lending and borrowing 37, daily FX trading 9, from the documents named in each return). Elsewhere BOT writes its checks in a 'Validation Rule' column for each data element of a data set manual, often several to a cell, or as cross-data-set formulas in Excel workbooks, so no count is given. No return's rules are published in a form software can run as written (no XML schema or rule file), so none is marked machine-readable.
  • The dataset inventory spreadsheet (dataset-inventory-by-fi-type-and-regulation-20260630.xlsx) also holds BOT's working sheets (drafts, mock-ups and export sheets); only its main 'As of 30062026' sheet was used.
  • BOT's statistics pages for financial institutions, monetary statistics and payment render their data tables with client-side script, so the figures themselves could not be read as text; public_filed_data records the pages and their stated subject, not the figures.
  • sfi-supervisions.html (the Specialised Financial Institutions Supervision page) names the 7 SFIs and BOT's supervisory powers under section 120 of the Financial Institution Business Act but lists no SFI-specific periodic return separate from the data sets and reports already covered; no SFI-only return was found.

Sources

Knowing exactly what is collected, in what format and under which rules is the first step to real-time supervision. See every regulator in the regulatory returns library.

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.