Exports of goods and services (million units of 2020 national currency) - Slovenia - Eurostat - Quarterly
This series is part of the dataset: Real GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In Slovenia, real exports of goods and services were 11,917 million units of 2020 national currency in 2026-Q2, versus 11,561 in the previous quarter. This constitutes a gain of 3.1 percent.
Sample. In the quarterly series displayed in the figure, there are 122 observations in total. The series covers the span of time stretching from March 1996 to June 2026.
History. Here are a few simple statistics we calculated on the full sample: exports of goods and services reached their highest level of 11,917 million units of 2020 national currency in June 2026; they registered a minimum of 2,344 in March 1996; they averaged 6,803.
Latest values
| Date | Value - Million units of 2020 national currency |
|---|---|
| 2025-12-31 | 11,408.4 |
| 2026-03-31 | 11,561.2 |
| 2026-06-30 | 11,916.6 |
Hint. To simplify research, we group time series into data sets and worksheets. By scrolling down, you will find how we arranged further material linked to the statistics found here.
Not for investment purposes. Time series and other data made available on this web site are not intended for investment purposes or as a basis for making financial decisions. Users should ask for professional advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Exports of goods and services |
| Country | Slovenia |
| 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.