In the model of Research and Development (R & D) for the pharmaceutical industry, considering patent protection, Schwartz made an important contribution to the valuation of a company. Besides considering the possibility of catastrophic events, the author applied a simple tool, but at the same time very powerful, hitherto not used in the literature for this purpose (called Least Squares Monte Carlo). In the last stage of its type (post patent), the author approaches the process with a constant value (obtained via an estimate), believing that the market immediately absolve the technology and, thus, the simplification does not significantly change the outcome final. Canted, with the advance of globalization and the media, the market has become increasingly dynamic and competitive. Since the classic tactics have become accessible to all (egg scale production or cut costs), they are no longer sufficient to maintain the profitability of a company. Several renowned scholars and institutions (such as BNDES) observed that, to survive this, companies must overcome competition through a set of skills called intangibles, which in most cases is a complex operation. Because of these evidences the absorption of new technology is not necessarily an immediate activity (contrary to the assumptions of Schwartz). Aiming at a better description of reality, this study proposes a mathematical processing (no longer approaching the post-patent) and the algorithmic model of Schwartz. The model was created from a set of concepts of microeconomics, Real Options and Metrics Assessment of BNDES, previously developed with the assistance of staff from BNDES. The simulation results of the theoretical example, which was considered an IT company that aims to develop a new technology, did not show any inconsistency, indicating thus no error in the mathematical or algorithmic perspective and confirming at the same time, importance of intangible assets, which, in turn, lead to the greatest earnings before slighted.