Is Facebook's P/E Too High? U.S. GAAP Doesn't Think So

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Andriy Blokhin
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Summary

  • Facebook’s GAAP P/E has been flying high to over 50x and at some point 100x in the past two years.
  • But GAAP earnings do not tell the whole story since R&D costs are expensed.
  • Capitalizing R&D spend produces a different and potentially much more meaningful picture for Facebook’s returns, profits and valuation metrics.

Source: Kristina Blokhin

The P/E of Facebook Inc. (FB) is a hotly debated subject, no doubt. Currently standing at 50x (in 2013 at some point it was an unconceivable 133x), the P/E has been widely cited by pundits as being too high. Facebook is a classic growth company. Given its risk and growth profile, it may well deserve its high earnings multiple. However, there is one thing that Facebook is not given credit for, and it is a large amount of research and development (R&D) that the company spends on. Because U.S. GAAP prohibits capitalizing R&D expenses with some caveats, Facebook's P/E ratio is higher than what it could be under an alternative treatment of these costs for valuation purposes.

GAAP Treatment of R&D Expenses

Statement of Financial Accounting Standards No. 2 written in 1974 says that research and development costs must be expenses as incurred. GAAP is guided by the conservatisms, and it hates uncertainty. Paragraph 39 sums it all up:

There is normally a high degree of uncertainty about the future benefits of individual research and development projects, although the element of uncertainty may diminish as a project progresses. Estimates of the rate of success of research and development projects vary markedly-depending in part on how narrowly one defines a "project" and how one defines "success"-but all such estimates indicate a high failure rate. For example, one study of a number of industries found that an average of less than 2 percent of new product ideas and less than 15 percent of product development projects were commercially successful.

Obviously, the failure numbers should be updated, but it gives the big picture view of why GAAP still sticks to its guns on this issue. If R&D costs were allowed to be capitalized, how does one draw a line between what is deemed a

This article was written by

Andriy Blokhin profile picture
365 Followers
I choose to analyze stocks based on their cash flow potential, relative value and economic moat. My belief is that success in investing can come from unconventional and unconstrained investing, choosing your own path and not being afraid to be wrong. In my idea generation process, story-telling must be backed up by quantitative analysis to pin down the upside/downside potential. I tend to turn down numerous ideas before narrowing on few compelling stock ideas per year. The closest investment style I follow is contrarian, since saying something is mispriced is contrarian. To me, investing is more of an art than a precise science. It takes a lot of effort and judgment to identify and evaluate a stock for mispricing. I work independently and like this freedom of not being tied to any opinion or being pressured to say something in particular. I enjoy uncovering companies that the market either overhypes or ignores. That is where I come in and start searching for potential mispricing. For this reason, I mainly focus on writing top ideas. I also write educational articles on different financial and accounting issues that affect companies' valuations and help investors make more informed decisions. I have five years of financial accounting experience at Ernst & Young in the Washington DC area where I was promoted to audit manager and worked on financial audits of private equity (the Carlyle Group), technology and real estate companies. I hold master's degrees in accounting and economics along with a CPA license (currently inactive). After leaving public accounting, I have studied for five years at the University of Virginia PhD in Economics program where I researched the macroeconomic effects of sovereign debt defaults in monetary unions using a dynamic stochastic general equilibrium model. I also completed an IMF internship program where I worked on a paper about certain aspects of sovereign debt yield spreads. After obtaining an all but dissertation status, I decided to quit the PhD program and pursue other interests in life. Currently, I am investing, programming in Python, writing articles for Seeking Alpha and creating videos/photos/timelapses professionally.

Analyst’s Disclosure: I am/we are long FB. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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