Exports of goods and services (million units of national currency) - Albania - Eurostat - Quarterly
This series is part of the dataset: Nominal GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In Albania, nominal exports of goods and services were 232,755 million units of national currency in 2026-Q1, compared to 238,586 in 2025-Q4. This constitutes a reduction of 2.4 percent.
Sample. In the quarterly series shown in the figure, there are a total of 125 data points. The time range covered by the series stretches from March 1995 to March 2026.
History. Here's a snapshot of some summary statistics we calculated on the full sample: exports of goods and services had an average value of 88,986 million units of national currency; they recorded a bottom of 7,777 in March 1995; they attained a maximum of 241,011 in June 2025.
Latest values
| Date | Value - Million units of national currency |
|---|---|
| 2025-09-30 | 240,401 |
| 2025-12-31 | 238,586 |
| 2026-03-31 | 232,755 |
Hint. To simplify complex analyses, we group series into data sets and worksheets. By moving down the page, you will discover how we structured further information linked to the statistics published here.
Not for investment purposes. Time series and other data found on this web site are not suitable for investment purposes or other financial decisions. Users should ask for expert advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Exports of goods and services |
| Country | Albania |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Million units of 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.