Exports of goods and services (million units of 2020 national currency) - Switzerland - Eurostat - Quarterly
This series is part of the dataset: Real GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In Switzerland, real exports of goods and services were 143,769 million units of 2020 national currency in 2026-Q2, compared to 146,011 in the previous quarter. This constitutes a reduction of 1.5 percent.
Sample. In this quarterly time series, there are 126 records overall. The series covers the time range going from March 1995 to June 2026.
History. Here’s a quick look at a few summary statistics we calculated on the entire sample: exports of goods and services averaged 93,470 million units of 2020 national currency; they peaked at 157,943 in March 2025; they hit a trough of 45,146 in September 1995.
Latest values
| Date | Value - Million units of 2020 national currency |
|---|---|
| 2025-12-31 | 143,392 |
| 2026-03-31 | 146,011 |
| 2026-06-30 | 143,769 |
Hint. We categorize series into data sets and worksheets to make our users' life easier. Scrolling downwards, you will discover how we structured further information linked to the statistics provided here.
Not for investment purposes. Data and analyses disseminated on this web site are not suitable for investment purposes or as a basis for financial-decision making. Users should ask for expert advice and do independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Exports of goods and services |
| Country | Switzerland |
| Economic concept | Flow |
| Data type | Real aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Chain-linked volumes |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Million units of 2020 national currency |
| Source | Eurostat |
| Source type | International organization |
| Data licence | Free reuse with attribution |
| Other information | Not available |
| FSR temporal aggregation code | LQ1 |
Series in the same data set
Discover the other time series included in this data set.