Gutenberg Research
  • Home
  • Models
    • Modeling Approach
  • Education
    • Cooperative Education Program
    • Book >
      • Book Registration - Third Edition >
        • Templates - Third Edition
      • Book Registration - Second Edition >
        • Templates - Second Edition
  • About
    • Contact
    • Email Distribution Sign-up
    • Terms of Use
    • Privacy Policy

Remsha Warraich​'s Contributor Page

​Remsha is a sophomore at Pennsylvania State University pursuing a Finance degree at Smeal College of Business. As a member of Penn State Investment Association, she actively partakes in weekly educational meetings focusing on financial analysis. Upon graduation, Remsha plans to pursue a career in equity research. 

Company: Facebook Inc (NASDAQ:FB)
Last Updated: April 16, 2019
View: Bullish
Model Approach:
This model uses projections of Monthly Active Users (MAUs) and Average Revenue Per User (ARPU) to project future earnings. In addition, the model uses ratio analysis to forecast expenses and other income statement line items.​
Remsha's View on FB Earnings: Despite Facebook's recent data privacy issues, I remain confident in the company's long term competitive advantage of digital advertising. That being said, I do think the recent privacy concerns may moderately lower Europe's average revenue per user. However, the firm is applying AI and virtual/augmented reality technologies to its products which may increase Facebook active users, and further generate revenue growth. 
FB Earnings Model (Warraich).xlsx
File Size: 99 kb
File Type: xlsx
Download File

Voluntary Self-Disclosure: The author of this article/model has no financial investment or other conflict of interest related to the subject company or other companies discussed. Any views made or implied in the content represent the author’s opinions.​
Gutenberg Research is a media and entertainment company. The information presented on our website and within Gutenberg Research models, files, or other content does not represent investment advice. Data and information presented on this website, or on third party websites posted by us, within our models, files, and other content is for demonstration only, and is presented “as is”. Neither Gutenberg Research nor any Gutenberg Research agents or associates are liable for any errors, delays, incompleteness of data presented, or for actions taken based on reliance on any information contained on this website or within Gutenberg Research models or other content. Investors should consult a professional investment adviser prior to making investment decisions. By accessing this site and/or receiving our models or other content you are deemed to have read and agreed to our Terms of Use posted on this website. This website uses Cookies, refer to our Privacy Policy for details. The Gutenberg Research logo is among the registered and unregistered trademarks of Gutenberg Research LLC. © Gutenberg Research LLC 2022. All Rights Reserved.