Producer prices in Germany declined 3.3% year-on-year February 2026, following a 3.0% drop in January, worse than market expectations of a 2.7% fall. This marked the twelfth consecutive month of falling producer prices and the fastest pace since April 2024, mainly due to a sharper decline in energy costs (-12.5% vs -11.8% in January), particularly natural gas (-14.3%) and electricity (-13.4%). Prices of non-durable consumer goods also continued to drop (-0.6% vs -0.2%), led by lower food costs (-1.9%), notably butter (-42.8%) and pork (-12.5%). Additionally, prices of capital goods (1.7% vs 1.8%), intermediate goods (1.1% vs 1.2%), and durable consumer goods (2.0% vs 2.1%) increased at slightly softer rates. Excluding energy, producer prices rose 1.0%, slowing from a 1.2% growth in the previous month. On a monthly basis, the PPI decreased 0.5%, after falling 0.6% in January, against market forecasts of a 0.3% rise. source: Federal Statistical Office
Producer Prices in Germany decreased 3.30 percent in February of 2026 over the same month in the previous year. Producer Prices Change in Germany averaged 2.35 percent from 1950 until 2026, reaching an all time high of 38.70 percent in September of 2022 and a record low of -9.20 percent in September of 2023. This page provides the latest reported value for - Germany Producer Prices Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Germany Producer Prices Change - data, historical chart, forecasts and calendar of releases - was last updated on March of 2026.
Producer Prices in Germany decreased 3.30 percent in February of 2026 over the same month in the previous year. Producer Prices Change in Germany is expected to be -1.90 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the Germany Producer Prices Change is projected to trend around 1.90 percent in 2027 and 1.80 percent in 2028, according to our econometric models.