Predetermined short-term net drains on foreign currency assets in India
India: Predetermined short-term net drains on foreign currency assets was -20.26 billion in 2025. ◆ Volatile
Predetermined short-term net drains on foreign currency assets in India, 2008–2025
Source: International Monetary Fund.
Analysis
In 2025, predetermined short-term net drains on foreign currency assets in India stood at -20.26 billion.
Compared with earlier readings it is up 40.5% on the previous year and down 2,836.2% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in India peaked at 0 in 2009 and was at its lowest, -34.06 billion, in 2024.
That places India 59th out of 59 countries with data for 2025, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -477.50 million | -955.00 million | 0 | 2 |
| 2010s | -658.20 million | -1.89 billion | 0 | 10 |
| 2020s | -12.76 billion | -34.06 billion | -2.48 billion | 6 |
Countries ranked near India
More financial sector data for India
- Net domestic credit (current LCU), per capita 213,661 current LCU per person (2025)
- Net domestic credit (current LCU), per unit of GDP 79.06 current LCU per US$ of GDP (2025)
- Net domestic credit (current LCU), annual growth rate 13.56 % change on previous year (2025)
- Gold reserves at 35 SDRs per ounce 990.63 million SDR (2025)
- Gold reserves at market value 90.27 billion SDR (2025)
- Reserves excluding gold, foreign exchange 403.72 billion SDR (2025)
- Reserves excluding gold 420.92 billion SDR (2025)
- Total reserves (gold at market value) 511.19 billion SDR (2025)
- Total reserves (gold at national valuation) 502.16 billion SDR (2025)
- Total reserves (gold at national valuation) (SDR), per capita 343.04 SDR per person (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in India?
- Predetermined short-term net drains on foreign currency assets in India was -20.26 billion in 2025, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in India?
- The highest recorded value was 0 in 2009.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in India?
- The lowest recorded value was -34.06 billion in 2024.
- How does India rank for predetermined short-term net drains on foreign currency assets?
- India ranks 59th out of 59 countries with data for 2025.
- Is predetermined short-term net drains on foreign currency assets rising or falling in India?
- Over the last ten years it is down 2,836.2%. The long-run trend across the full record is volatile.
- Where does this India 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), Forwards and futures in foreign currencies vis-s-vis the domestic currency (including the forward leg of currency swaps), Up to 1 month, Short positions (International Reserves and Foreign Currency Liquidity: Guidelines . 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.