Shaping aviation fleet selection, financing and management to optimise asset potential
As well as supporting global leasing companies, operators and investors to advance successful aviation portfolios and manage them for best value, we encourage new entrants to the sector, guiding them through fleet mix choice and management best practice.
Underpinned by unique asset and market intelligence accessible via InsightIQ, IBA's data intelligence platform, we share intuitive, evidence-based advice with clients current and new. We enable confident progression or foundation in the global aviation market, smoothing the way to competent fleet structure and management and boosting asset value.
Aviation fleet selection involves multiple interrelated aspects. Financial metrics including price, operating costs, lease rates, aircraft and engine liquidity and potential revenue all influence prospective outcomes. Operational attributes also need to be considered: aircraft range, payload, reliability, fuel burn and speed vary significantly between assets and demand comparison and analysis.
Understanding of a client's mission fit, our advisors combine data-fuelled aviation insights with fleet management, financing and leasing capability to guide fleet choice. Residual value, aircraft reserves and maintenance and the leasing industry's appetite all play a part.
Unsurprisingly, the greater an aircraft type's liquidity, the lower the overall finance costs since residual values will be higher and depreciation slower. InsightIQ enables our teams to strengthen a client's negotiating position through evidence-based visual analytics, complex modelling and real-time global news.
IBA has built its models to answer specific questions connected with fleet selection and costs, providing essentially bespoke solutions per client. Airlines' diverse business models, the ability to maintain aircraft in-house and OEM maintenance programs all influence asset portfolio options.
Successful fleet evaluation amalgamates:
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Accurate data and assumptions
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Expert, flexible modelling to capture and adjust various inputs
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Quantitative and qualitative experience to confirm modelling results are replicable in real-world operations
