Gross capital formation (million units of 2020 national currency) - Iceland - Eurostat - Quarterly
This series is part of the dataset: Real GDP (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In Iceland, real gross capital formation stood at 243,154 million units of 2020 national currency in 2026-Q2, versus 239,978 in 2026-Q1. This represents a rise of 1.3 percent.
Sample. There are 126 observations overall in the quarterly series shown in the figure above. The time period covered by the series is from March 1995 to June 2026.
History. Here’s a quick look at some simple statistics we calculated on the full sample: gross capital formation had an average value of 144,030 million units of 2020 national currency; it hit a minimum of 58,945 in March 1995; it reached its highest level of 252,444 in September 2025.
Latest values
| Date | Value - Million units of 2020 national currency |
|---|---|
| 2025-12-31 | 223,693 |
| 2026-03-31 | 239,978 |
| 2026-06-30 | 243,154 |
Nugget of wisdom. For easier exploration, we organize indicators into worksheets and datasets. By scrolling down, you will find how we structured further information linked to the statistics published here.
Not for investment purposes. Information provided on FetchSeries is not suitable for investment purposes or as a basis for making financial decisions. Users should ask for expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross capital formation |
| Country | Iceland |
| 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.