The increasing demand for pulpwood promotes the rapid expansion of eucalypt plantations over fire-prone savannas in western Brazil. Currently, large wildfires pose a real threat to these commercial plantations, disrupting the supply chain. Forest managers lack site-specific quantitative assessments to inform large scale harvesting plans and cost-effective risk reduction programs. In this study, we combined wildfire likelihood estimates with potential fire effects to assess stand-level expected economic losses in eucalypt plantations across a savanna enclave in western Brazil. Here, we used the minimum travel time fire spread algorithm to predict the annual burn probability (aBP). The economic loss was estimated combining pixel-level aBP with the associated forest value according to the raw material market value, the management cost cash flow, and the harvesting rotation period. Young eucalypt stands (< 2 yr) attained the highest wildfire likelihood values, whereas intermediate-age to mature plantations (> 4 yr) showed the largest economic losses (> 400 US