US producer prices rose 0.7% month-over-month in February 2026, above 0.5% in January and much higher than forecasts of 0.3%. It is the biggest increase in producer prices in seven months, with goods prices soaring 1.1% the most since August 2023, led by a 48.9% jump in prices for fresh and dry vegetables. The indexes for diesel fuel, chicken eggs, gasoline, jet fuel, and tobacco products also increased. Conversely, prices for jewelry and jewelry products fell 4%. Decreases were also seen in the cost for home heating oil and for soft drinks. Meanwhile, prices for services rose 0.5%, the least in three months, with prices for traveler accommodation services rising 5.7% and making the largest contribution. The core PPI increased 0.5%, after a 0.8% rise in January but above forecasts of 0.3%. On an annual basis, headline producer inflation jumped to 3.4%, the highest in a year, compared to 2.9% in January and forecasts it would remain at 2.9%. Core producer inflation also jumped to 3.9%. source: U.S. Bureau of Labor Statistics
Producer Price Inflation MoM in the United States increased to 0.70 percent in February from 0.50 percent in January of 2026. Producer Price Inflation MoM in the United States averaged 0.22 percent from 2009 until 2026, reaching an all time high of 1.70 percent in March of 2022 and a record low of -1.20 percent in April of 2020. This page includes a chart with historical data for the United States Producer Price Inflation MoM. United States Producer Price Inflation MoM - data, historical chart, forecasts and calendar of releases - was last updated on March of 2026.
Producer Price Inflation MoM in the United States increased to 0.70 percent in February from 0.50 percent in January of 2026. Producer Price Inflation MoM in the United States is expected to be 0.50 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the United States Producer Price Inflation MoM is projected to trend around 0.20 percent in 2027, according to our econometric models.