Nominal GDP in local currency (units of local currency; seasonally adjusted) - Spain - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Spain, seasonally-adjusted nominal GDP was 441,117,000,000 units of local currency in 2026-Q2, versus 437,897,000,000 in the previous quarter. This represents an increase of 0.74 percent.
Sample. In this quarterly series, there are 126 data points in total. The time period covered by the series is from March 1995 to June 2026.
History. Here's a snapshot of a few summary statistics computed on the full sample: GDP was equal on average to 254,547,476,190 units of local currency; it achieved a maximum of 441,117,000,000 in June 2026; it hit a trough of 112,609,000,000 in March 1995.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-12-31 | 435,402,000,000 |
| 2026-03-31 | 437,897,000,000 |
| 2026-06-30 | 441,117,000,000 |
Tip. To make your life easier, we organize series into data sets and worksheets. By scrolling down, you will discover how we arranged further information linked to the statistics provided here.
Not for investment purposes. Data and analyses released on FetchSeries are not suitable for investment purposes or any other financial decision. Users should obtain expert advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Spain |
| Economic concept | Flow |
| Data type | Nominal aggregate |
| Seasonally adjusted | Yes |
| Deflation method | Current prices |
| Rescaling | None |
| Measure type | Level |
| Frequency | Quarterly |
| Unit | Units of local currency |
| Source | International Monetary Fund |
| Source type | International organization |
| Data licence | Free reuse subject to conditions |
| Other information | Not available |
| FSR temporal aggregation code | SM03 |
Series in the same data set
Discover the other time series included in this data set.