The revenue and net sales of Samsonite

Pavel Prikhodko, Ph.D. Machine Learning

Luggage retail is an important global market. In 2014, American jewelry, luggage and leather goods store sales amounted to around $34.24 billion. This is a slight increase over the previous year’s total of around $34.13 billion.

The American company Samsonite is the largest luggage manufacturer and retailer, with products ranging from large suitcases to small bags and briefcases. Samsonite was founded in Denver, Colorado in 1910. The timeline below shows us the total global revenue of the world’s largest luggage manufacturer from 2007 to 2015. In 2015, Samsonite’s global revenues amounted to about $2.43 billion. This is a slight increase from 2014 when the company generated about $2.35 billion in revenue.

We can also see that since 2010, the number has only been increasing. For example, in 2010, Samsonite generated $1.21 billion in revenue. In 2012, Samsonite’s global revenues amounted to $1.77 billion. Finally, in 2013, its total global revenue reached $2.03 billion. Samsonite generated $1.02 billion, $1.24 billion and $1.20 billion in 2009, 2008 and 2007 respectively.

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According to information published at Statista.com analyzing the North American net sales of Samsonite, in 2015, net sales of the American company amounted to about $796.51 million in the U.S. and $41.8 million in Canada. Samsonite’s net sales amounted to about $720.74 million in the U.S. and $40.5 million in Canada in 2014.

In 2013 and 2012, Samsonite’s net sales in the U.S. approximated to $589.62 million and $469.77 million, compared to Canada’s net sales of $32.13 million and $30.15 million respectively. In 2011, Samsonite’s North American net sales amounted to $360.31 million in the U.S. and $27.88 million in Canada.

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About Pavel Prikhodko

Pavel Prikhodko, Ph.D. Machine Learning

Pavel has worked for many years as a researcher and developer on a wide range of applications (varying from mechanics and manufacturing to social data, finance and advertising), building predictive systems and trying to find stories that data can tell.

In his free time, he enjoys being with his family.

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