Nominal GDP in local currency (units of local currency; seasonally adjusted) - Bulgaria - IMF - Quarterly
This series is part of the dataset: Nominal GDP by country (IMF)
Download Full Dataset (.xlsx)Latest updates. In Bulgaria, seasonally-adjusted nominal GDP was 58,071,762,202 units of local currency in 2025-Q3, compared to 55,332,740,151 in 2025-Q2. This marks a gain of 4.95 percent.
Sample. There are 123 observations overall in the quarterly series shown in the plot above. The span of time covered by the series is from March 1995 to September 2025.
History. Here's a snapshot of some statistics calculated on the full sample: GDP reached a minimum of 268,038,000 units of local currency in March 1995; it recorded its highest level of 58,071,762,202 in September 2025; it averaged 19,979,574,628.
Latest values
| Date | Value - Units of local currency |
|---|---|
| 2025-03-31 | 52660799050.0 |
| 2025-06-30 | 55332740151.0 |
| 2025-09-30 | 58071762202.0 |
Suggestion. To make your life easier, we categorize time series into data sets and worksheets. By scrolling down, you will discover how we structured further material linked to the statistics provided here.
Not for investment purposes. Information released on FetchSeries is not intended for investment purposes or any other financial decision. Users should ask for professional advice and perform their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Gross Domestic Product (GDP) in domestic currency |
| Country | Bulgaria |
| 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.