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Description
The purpose of this thesis was to create a valuation of Spotify (Ticker: SPOT) and estimate a share price for the company. Spotify is one of the largest music streaming services in the world, currently operating in 79 markets globally with a subscriber base of over 100 million people. Spotify initially offered April 3, 2018 at $132 per share and sees a huge amount of financial assets on their balance sheet due to continued investment. As a newly established high-growth company, Spotify has enjoyed a 30% average revenue growth year over year from 2014 to 2019. Although Spotify’s reach is quite large, the company is dwarfed by competitors such as Apple, Google, and Amazon in the extremely competitive music streaming industry. Within this paper, we first analyze the competitive landscape that makes up the music streaming industry. Once a baseline understanding of the music streaming industry has been reached, we turn the focus more directly onto Spotify through examining Spotify’s position within the market as well as the company’s current strategic goals and objectives. We then forecasted Spotify’s financial statements forward and created a residual income model (RIM) based on Spotify’s financial statements. As was previously stated, the purpose of this model was to arrive at a share price for Spotify that we believe accurately reflects its value and compare that with its current market trading price. After successfully accomplishing this goal, we conducted a comprehensive final analysis and offered Spotify recommendations based on the model as well and its output.
ContributorsRice, Ian (Co-author) / Nagele, Benjamin (Co-author) / Samuels, Janet (Thesis director) / Orpurt, Steven (Committee member) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This study explores whether finance students at Arizona State University learn important technical business concepts at a textbook level and, if they do, do they recognize when to use them in real-world scenarios. These questions are important because the ability to learn and adapt knowledge to different situations is a desirable skill for a business professional. I chose NPV as the concept to test because it is arguably the central concept to learn in business school. Additionally, NPV is specifically taught in at least two courses by the time students graduate and it is frequently applied in business. The main hypothesis the study intends to explore is: students that have taken finance 300 will be able to identify the NPV problem. Survey results indicated that only 47% of students could identify the NPV problem. Further results indicated that only 27% of the original 100% (8 out of 30) participants could further apply NPV knowledge. Additional analyses based on grade earned and personal confidence level showed that having higher of either of the attributes generally showed the ability to identify NPV. Based on the results, I propose teaching more application-based learning to enhance career-readiness. Further research, expanding on these results, could be made to formulate a function to predict a student’s ability to identify NPV before being surveyed. This function could then be used to predict the outcome of the next student tested and allow for change to be made in teaching techniques.
ContributorsGomez, Andrew (Author) / Orpurt, Steven (Thesis director) / Hillegeist, Stephen (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05