Nominal GDP in local currency (units of local currency; seasonally adjusted) - Switzerland - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Switzerland, seasonally-adjusted nominal GDP stood at 215,957,041,709 units of local currency in 2025-Q4, versus 216,088,392,027 in the previous quarter. This marks a reduction of 0.06 percent.
Sample. In this quarterly time series, there are 124 observations overall. The span of time covered by the series extends from March 1995 to December 2025.
History. Here's a peek at a few simple statistics we computed on the full sample: GDP had a mean of 155,013,272,488 units of local currency; it reached its highest level of 217,755,742,514 in June 2025; it reached its minimum of 104,924,995,673 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-06-30 | 217755742514.0 |
| 2025-09-30 | 216088392027.0 |
| 2025-12-31 | 215957041709.0 |
Tip. Our metadata often include references to the original sources of the time-series data shown on FetchSeries. You can use these references to search for additional information needed in your research.
Not for investment purposes. Content shared on FetchSeries is not suitable for investment purposes or any other financial decision. Users should obtain expert advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Switzerland |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Units of local currency |
| Source | International Monetary Fund |
| Source type | International organization |
| Data licence | Free reuse subject to conditions |
| Other information | Not available |
| FSR temporal aggregation code | SM03 |
Series in the same data set
Discover the other time series included in this data set.