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Singapore's External Debt Statistics, (End Of Period), Quarterly

What this data shows

Published by Singapore Department of Statistics. 38 records. Fields include Data Series, 2026 1Q, 2025 4Q, 2025 3Q (93 columns in total). Covers 2003-04-01 to 2026-03-31. Last updated 2026-09-02.

Description

Quarterly Singapore external debt statistics at period-end from 2003 through 2026 Q1 in SingStat CSV, compiled under BPM6 with expanded ACU coverage noted in footnotes. Macroeconomists track gross external liabilities, creditor position, and balance-of-payments revisions alongside net external assets.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: Quarterly Footnotes: With the implementation of the recommendations of the 6th Edition of the Balance of Payments and International Investment Manual (BPM6), Singapore's gross external debt is now reported on a BPM6 format. The accompanying revision in the treatment of Asian Currency Units (ACUs) as resident units (which previously were treated as non-resident units) means that the coverage of Singapore's external assets and liabilities has been expanded to include those of the ACUs, resulting in increases in both Singapore's external assets and liabilities. While the expansion of coverage has resulted in higher gross external debt (or liabilities), it has resulted also in higher external assets. Singapore remains a net creditor, as the resulting increase in external assets is more than the increase in liabilities. More information may be found in the Occasional Paper on 'Implementation of IMF Balance of Payments and International Investment Position Manual, Sixth Edition in Singapore's Balance of Payments'. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M060221

Last updated
Coverage
2003-04-01 – 2026-03-31
Rows
38
Columns
93

Data

Data Series 2026 1Q 2025 4Q 2025 3Q 2025 2Q 2025 1Q 2024 4Q 2024 3Q 2024 2Q 2024 1Q 2023 4Q 2023 3Q
Gross External Debt 3332500.6 3175341 3093588.8 3073914.9 3047987.5 3053306.9 2953163.2 2923202.1 2869057.2 2805169.7 2766505.3
Direct Investment: Intercompany Loans 696438.3 668865.6 651575 651675 645559.5 648670 652309 630914.1 616392.8 604735.5 576992.4
Debt Liabilities Of DIE To Direct Investors 554507.9 531803.9 515617.7 510874.9 508095.4 489597.4 489461.8 474792.2 470614.6 459092.2 433619.3
Debt Liabilities Of Direct Investors To DIE 29065.6 33977 34134.4 37055.8 36708.7 45383.8 45089.2 44567.6 44087.6 43915.7 44024.1
Debt Liabilities Between Fellow Enterprises 112864.8 103084.7 101822.9 103744.3 100755.4 113688.8 117758 111554.3 101690.6 101727.6 99349
Other Liabilities 2636062.3 2506475.4 2442013.8 2422239.9 2402428 2404636.9 2300854.2 2292288 2252664.4 2200434.2 2189512.9
General Government 0 0 0 0 0 0 0 0 0 0 0
Central Bank 7837 7868.6 7921.3 7831.9 7984.2 7946.4 7772.1 7975.2 7996.7 7932.6 8022.5
Short-Term 0 0 0 0 0 0 0 0 0 0 0
Loans 0 0 0 0 0 0 0 0 0 0 0

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Data Series Text No
2026 1Q Text No
2025 4Q Text No
2025 3Q Text No
2025 2Q Text No
2025 1Q Text No
2024 4Q Text No
2024 3Q Text No
2024 2Q Text No
2024 1Q Text No
2023 4Q Text No
2023 3Q Text No
2023 2Q Text No
2023 1Q Text No
2022 4Q Text No
2022 3Q Text No
2022 2Q Text No
2022 1Q Text No
2021 4Q Text No
2021 3Q Text No
2021 2Q Text No
2021 1Q Text No
2020 4Q Text No
2020 3Q Text No
2020 2Q Text No
2020 1Q Text No
2019 4Q Text No
2019 3Q Text No
2019 2Q Text No
2019 1Q Text No
2018 4Q Text No
2018 3Q Text No
2018 2Q Text No
2018 1Q Text No
2017 4Q Text No
2017 3Q Text No
2017 2Q Text No
2017 1Q Text No
2016 4Q Text No
2016 3Q Text No
2016 2Q Text No
2016 1Q Text No
2015 4Q Text No
2015 3Q Text No
2015 2Q Text No
2015 1Q Text No
2014 4Q Text No
2014 3Q Text No
2014 2Q Text No
2014 1Q Text No
2013 4Q Text No
2013 3Q Text No
2013 2Q Text No
2013 1Q Text No
2012 4Q Text No
2012 3Q Text No
2012 2Q Text No
2012 1Q Text No
2011 4Q Text No
2011 3Q Text No

Showing the first 60 of 93 columns. Download the CSV for the full schema.