Manufacturing production in the Philippines grew by 12.7% year-on-year in September 2026, following a downwardly revised 10% increase in the previous month. This marked the fastest pace of growth since June, driven mainly by a sharp increase in the manufacture of coke and refined petroleum products (39.6% vs 25% in August), which accounted for 34.2% of the overall growth acceleration. Other major contributors included basic metals (37.1% vs 24.6%), transport equipment (16.1% vs 9.1%), and rubber and plastic products (18% vs 13.8%). Meanwhile, growth in the manufacture of computer, electronic and optical products moderated to 23.4% from 30.7%. At the same time, food production fell by 2.9%, reversing a 0.3% rise in the prior month, amid a slowdown in six of the eight industry groups, led by the manufacture of prepared animal feeds (5.8% vs 17.9%). For the January-September period, manufacturing output was 9.3% higher than in the same period last year. source: Philippine Statistics Authority
Industrial Production in Philippines increased 12.70 percent in September of 2026 over the same month in the previous year. Industrial Production in Philippines averaged 10.91 percent from 1986 until 2026, reaching an all time high of 531.30 percent in August of 2021 and a record low of -83.10 percent in August of 2020. This page provides - Philippines Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news. Philippines Manufacturing Production - data, historical chart, forecasts and calendar of releases - was last updated on November of 2026.
Industrial Production in Philippines increased 12.70 percent in September of 2026 over the same month in the previous year. Industrial Production in Philippines is expected to be 7.00 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the Philippines Manufacturing Production is projected to trend around 6.50 percent in 2027 and 6.80 percent in 2028, according to our econometric models.