Gross capital formation (million units of national currency) - Slovak Republic - Eurostat - Quarterly
This series is part of the dataset: Nominal GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In the Slovak Republic, nominal gross capital formation stood at 7,242 million units of national currency in 2026-Q2, compared to 7,083 in 2026-Q1. This constitutes a rise of 2.2 percent.
Sample. There are 126 data points overall in the quarterly series shown in the graph above. The series covers the time span going from March 1995 to June 2026.
History. Here are a few summary statistics calculated on the entire sample: gross capital formation had a mean value of 4,204 million units of national currency; it reached a trough of 950 in March 1995; it attained a maximum of 7,242 in June 2026.
Latest values
| Date | Value - Million units of national currency |
|---|---|
| 2025-12-31 | 7,011.20 |
| 2026-03-31 | 7,083.00 |
| 2026-06-30 | 7,241.60 |
Heads-up. To make your life easier, we categorize indicators into data sets and worksheets. When you navigate further down, you will find how we structured further material linked to the statistics published here.
Not for investment purposes. Data and any other information hosted on FetchSeries are not suitable for investment purposes or as a basis for financial-decision making. Users should seek expert advice and perform their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross capital formation |
| Country | Slovak Republic |
| 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.