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4BRA

​4th privatization round

technical advisory services

project data:

Brazil 4th Airport Privatization Round – technical advisory and planning.

Fortaleza Airport

Porto Alegre Airport

Fortaleza, Porto Alegre, Brasil

2016 | 2017

​collaboration Fraport 

project description

Fraport AG engaged Leadin Aviation as part of its Technical Team to support the fourth round of airport privatization in Brazil. The assignment was framed around the development of airport development plans for two key assets—Porto Alegre and Fortaleza—within the context of the national auction process. The overall framework focused on ensuring regulatory compliance and defining expansion strategies capable of delivering the required airfield capacity over the concession period.

Leadin’s work included producing the necessary technical information to support the bid’s business model, with particular emphasis on infrastructure adequacy, investment requirements, and phased development strategies. The primary focus of the assignment was Porto Alegre Airport, where Leadin played a leading role in developing the airport’s development plan. Additional support was provided for the technical development of Fortaleza Airport’s concept.

These advisory services contributed directly to the successful structuring of the privatization process, which ultimately resulted in both airports being awarded and incorporated into Fraport’s international portfolio. By translating regulatory requirements and demand forecasts into robust development and investment plans, the project supported Fraport’s strategic expansion in the Brazilian aviation market and strengthened the foundation for long-term operational and infrastructural development.

client benefits:

  • Clear understanding of the existing infrastructure through on-site due diligence investigations;

  • Full alignment with concession requirements and minimum investment obligations defined by the Brazilian Government;

  • Robust quantification of future infrastructure needs through capacity planning models;

  • Solid technical basis to support investment decisions during the auction process.

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