Predetermined short-term net drains on foreign currency assets in Philippines
Philippines: Predetermined short-term net drains on foreign currency assets was -1.61 billion in 2025. ▲ Rising
Predetermined short-term net drains on foreign currency assets in Philippines, 2000–2025
Source: International Monetary Fund.
Analysis
Philippines recorded -1.61 billion for predetermined short-term net drains on foreign currency assets in 2025.
The figure is up 23.7% on the previous year and down 23.0% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Philippines peaked at -865.67 million in 2014 and was at its lowest, -4.00 billion, in 2003.
Philippines ranks 58th of 85 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -2.72 billion | -4.00 billion | -1.24 billion | 10 |
| 2010s | -1.19 billion | -1.87 billion | -865.67 million | 10 |
| 2020s | -2.00 billion | -2.59 billion | -1.36 billion | 6 |
Countries ranked near Philippines
More financial sector data for Philippines
- Net domestic credit (current LCU), per capita 194,178 current LCU per person (2025)
- Net domestic credit (current LCU), per unit of GDP 46.56 current LCU per US$ of GDP (2025)
- Net domestic credit (current LCU), annual growth rate 10.49 % change on previous year (2025)
- Domestic credit to private sector by banks 52.1% (2025)
- Total reserves in months of imports 7.33 (2025)
- Net domestic credit 22.68 trillion current LCU (2025)
- Net foreign assets 7.36 trillion current LCU (2025)
- Monetary Sector credit to private sector 52.1% (2025)
- Broad money 85.9% (2022)
- Claims on central government, etc. 32.6% (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Philippines?
- Predetermined short-term net drains on foreign currency assets in Philippines was -1.61 billion in 2025, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Philippines?
- The highest recorded value was -865.67 million in 2014.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Philippines?
- The lowest recorded value was -4.00 billion in 2003.
- How does Philippines rank for predetermined short-term net drains on foreign currency assets?
- Philippines ranks 58th out of 85 countries with data for 2025.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Philippines?
- Over the last ten years it is down 23.0%. The long-run trend across the full record is rising.
- Where does this Philippines data come from?
- The figures come from International Monetary Fund, published as part of Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, principal, More than 3 months and up to 1 year, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (I. Statizoid updates them automatically from the source API.
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About this data
The International Reserves and Foreign Currency Liquidity (IRFCL, or the “Reserves Data Template”) dataset includes data on the amount and composition of countries’ official reserve assets, other foreign currency assets held by monetary authorities and central governments, and short-term foreign currency obligations and related activities of monetary authorities and central governments that can lead to drains on official reserves and other foreign currency assets. This website re-disseminates IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar). Historical data by country are also available. Please note that the re-dissemination of the template data by the Fund does not constitute endorsement of the quality of the data by the Fund.