This paper deals with cost and profitability estimations, sensitivity analysis and risk analysis during the engineering process planning. Planned cash flows are best shown by cash-flow diagrams which visualizes revenues and expenses in the project. After this estimation, it follows profitability analysis with present worth (PW), internal rate of return (IRR) and discounted payback (DPB) as most commonly-employed profitability evaluation techniques. Considering that there can be found certain insecurities in collected data, it is necessary to introduce risk estimation in the analysis. The tools used during the risk estimation are sensitivity analysis and Monte Carlo analysis. Sensitivity analysis tests the causality of certain independent variable on profitability with the intention of identification of the variable whom the greatest attention should be dedicate. What's more, information about relative sensitivity of the certain profitability indicator can be summed up by a tornado diagram and spiderplots. Monte Carlo analysis is used to test simultaneous influence of all independent variables on profitability with the intention to analyze the risk. When estimating and analyzing the risk, it is necessary first to calculate probability of certain event. After that, visualizing economy decision tree follows, and, in the end, using Monte Carlo simulation, calculate and show graphically probability distribution of each profitability indicator and identifies items which contribute the most to project risk.