Pegasus has earned a place in the top 10 Global Airline Rankings for Ancillary Revenue as a Percentage of Total Revenue with its ancillary revenue for 2016 comprising 22% of total revenue, up from 10.1% five years ago. The results and ranking is published in a new report by IdeaWorksCompany, sponsored by car-trawler, entitled 2016 Top 10 Airline Ancillary Revenue Rankings.
Commenting on the top 10 ranking, Pegasus Airlines CEO Mehmet T. Nane said: “We are proud and delighted to be part of the Top 10 global rankings for ancillary revenues; and we can attribute much of this success to our mission at Pegasus to transform the company into a full travel brand that answers all guests' travel needs with a door to door experience beyond ticketing, including providing transfers to the airport and accommodation. In 2016 we increased our per guest revenue from ancillaries by 3.7% year-on-year, from €9.77 to €10.13 and we will continue to prioritise this area in coming years because we believe there is still room to grow.”
Mehmet T. Nane continued: “Our strategy moving forward is some of the same and more of the new – to continue with our products and services which form a core part of Pegasus' market-leading low cost model such as Seat Selection, Pre-order Meal, Package Fares, Excess Baggage, Car Rental, Travel Insurance and Freeze the price – but also to continue expanding on this model with more innovative and affordable products that prioritize convenience such as the Pegasus Flex Product, the new Business Flex flight package and Private/Shared Airport Transfers.”
The global airline ancillary revenue results are contained in the new report, 2016 Top 10 Airline Ancillary Revenue Rankings. Of the 138 airlines reviewed, 66 reveal figures related to ancillary revenue. Every year IdeaWorksCompany searches for disclosures of financial results which qualify as ancillary revenue for airlines all over the globe. Annual reports, investor presentations, financial press releases, and quotes attributed to senior executives all qualify as sources in the data collection process.