Airports are a critical constituent of the US infrastructure. As such, an improved understanding of its influencers to improved cost and schedule performance is vital for improved delivery and overall project success. Previous studies have lacked in analyzing real project data related to the airport infrastructure. This research aims to fill this gap in the current body of knowledge. To this end, the goal of this study is to explore the effect of project services, type, and contract type against the cost and schedule performance of airport projects. A multistep interrelated methodology is utilized to achieve this goal. First, San Francisco International Airport project data is adopted and summarized comprehensively. Second, statistical tests are conducted to (1) analyze the relationship between the cost and schedule, as well as (2) study the significant difference between project services, project type, and contract type subgroups with respect to project performance. Results indicate that cost and duration metrics had a significant positive relationship in terms of correlation. Moreover, general terminal work and improvement services had the highest cost and duration of different work and services, respectively. Also, cost metrics across different service types were indifferent to their specific subgroups. The outcomes of this research guide project managers and relevant stakeholders for improved decision-making regarding cost and schedule performance metrics. Ultimately, this research contributes to the body of knowledge by offering analytical insight for airport-related stakeholders that promote an enhanced implementation of project delivery.