Home Latest News Alphabet Stock: Perpetual Growth And Barbell Retirement Model (NASDAQ:GOOG) – Seeking Alpha

Alphabet Stock: Perpetual Growth And Barbell Retirement Model (NASDAQ:GOOG) – Seeking Alpha

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GoodLifeStudio/iStock Unreleased via Getty Images

GoodLifeStudio/iStock Unreleased via Getty Images
You may feel a bit strange that we hold a stock like the Alphabet Inc. (NASDAQ:GOOG) (NASDAQ:GOOGL) for our retirement portfolio. It is not the typical retirement stock you would normally consider. It pays no dividends, and the tech sector is not the typical “safe” sector that retirees go for.
As detailed in an earlier article, a key lesson we’ve learned is that you ALWAYS, at any stage of life, need to clearly delineate short-term issues from long-term issues. So contrary to the popular advice of building “a” retirement portfolio or “the” perfect retirement portfolio, we suggest you always build 2 portfolios – one for the long term and one for the short term – the so-called barbell model. The long-term portfolio is to take care of ourselves when we live to 90 years old and to plan out estates for our kids and grandkids. And the short-term portfolio is to take care of our immediate needs (e.g., a visit to the ER next month). This is diversification at a grand level!
Under this background, hope it now feels less strange why we hold GOOG in our retirement portfolios. We hold it for its long-term prospects, not for its current income or short-term gain. We are only concerned about its long-term yields – in the general sense, not only dividend yields. And as you will see, it combines all the hallmarks of a perpetual compounder – excellent profitability, remarkable return on capital employed, and enviable capital allocation flexibility. And it very likely will lead to double-digit shareholder return in the long term.
Potential GOOG investors may have concerns about its growth rate and current elevated valuations – rightfully. However, this analysis will show you how one of the most powerful insights from Warren Buffett applies to GOOG (which he regretted not buying earlier himself). The insight is that you do not need a doubt-digit growth rate (which, admittedly, is unlikely for GOOG to sustain in the long run) or a dirt-cheap entry price to achieve a double-digit 10% long-term return.
GOOG is a poster boy for a wide-moat business. Thanks to its technological lead and scale, GOOG enjoys superior profitability both relative to other peers in the same sector and also to the overall market, as illustrated by the following chart. The profitability is simply superb on every metric – both in absolute terms and in relative terms when compared to its peers. The company derives its current revenues primarily through delivering targeted advertising, and at the same time, invests aggressively into future growth segments such as AI, cloud computing, and so on. The business is perfectly and globally diversified: 47% of the revenues in 2020 came from the United States, and 53% from the rest of the world.
Furthermore, it is unlikely that its moat and profitability would change in the future (barring any major regulation or antitrust legislation change) due to the so-called “network effects”. The network effects refer to the fact that the value of certain products or services increases as more people use them (at least to a certain point), and many of GOOG’s businesses are textbook examples of such network effects.
GOOG profitability grade
Source: Seeking Alpha.
If you, like this author, are a long-term investor who subscribes to the concepts of owner’s earning and perpetual growth rate, then the long-term return is simple. As detailed in my earlier article, the long-term return is “simply” the summation of the owner’s earning yield (“OEY”) and the perpetual growth rate (“PGR”), i.e.,
Long-Term ROI = OEY + PGR
Because in the long term, all fluctuations in valuation are averaged out (all luck at the end even out). And it doesn’t really matter how the business uses the earning (payout as dividends, retained in the bank account, or repurchase stocks). As long as used sensibly (as GOOG has done in the past), it will be reflected as a return to the business owner. That is why we do not mind the lack of current dividends from GOOG.
With the background, we will examine these two pieces for GOOG one by one next.
OEY is the owner’s earnings divided by the entry price. All the complications are in the estimation of the owner’s earning – the real economic earning of the business, not the nominal accounting earning. Here as a crude and conservative estimate, I will just use the free cash flow (“FCF”) as the owner’s earning. It is conservative in the sense that rigorously speaking, the owner’s earning should be free cash flow plus the portion of CAPEx that is used to fuel the growth (i.e., the growth CAPEx). At its current price levels, the OEY is ~3.4% for GOOG (~29.4x price to FCF).
The next and more important item is the PGR. The growth rate of our business in the long term is governed by two factors – reinvestment rate and return on capital employed (“ROCE”). More specifically, it will be a product of these two factors, i.e.:
PGR = Reinvestment Rate * ROCE
The reason is straightforward and intuitive. If a business earns more profit on every $1 of capital employed, then it only needs to plow back a smaller fraction of its earnings to further grow its future earnings, and vice versa.
So we will first examine GOOG’s capital allocation and reinvestment rate. How much to reinvest probably is the most important capital allocation decision management has to make. And fortunate to GOOG, its management enjoys enviable capital allocation flexibility. The capital allocation picture is really simple here: GOOG earns a load of cash organically from its operations but does not need to spend much. Just take a look at its finances in recent years as shown below. It generates more than $65B of operating income on average (3-year average).
As seen, GOOG has been using on average only ~18% of the OPC as maintenance CAPEx. So this is it – this is the only mandatory expense for GOOG. All the remainder cash, more than 72% of a whopping $65B, can be deployed freely. It can use it for a variety of things: reinvest to fuel further growth, retain it to strengthen the balance sheet, start paying dividends, buy back shares, et al. It obviously makes total sense to reinvest all of it to fuel further growth given its high profitability. But the problem is that for businesses at this scale, there are just not that many opportunities to reinvest the earnings. As a result, GOOG has been allocating a large part of the remaining earning, on average 37% in recent years, to buy back shares. With all the above considerations, the business has been reinvesting at about 10% in recent years and retaining the remaining 34% of OPC.
Alphabet use of cash
Source: author based on Seeking Alpha data.
I have analyzed GOOG’s ROCE in an earlier article and here I will just directly quote the results below. As seen, GOOG was able to maintain a remarkably high and stable ROCE over the long term (on average 55% for the past decade). The ROCE has been on average 47.5% in recent years. There is no need to be alarmed by this small decrease in recent years. A ROCE on the level of 47.5% is still very respectable and competitive even among overachievers like the FAANG group. In this analysis, I considered the following items as capital actually employed 1) Working capital, including payables, receivables, inventory, 2) Gross Property, Plant, and Equipment, and 3) research and development expenses as also capitalized.
So now with a 10% reinvestment rate and 47.5% ROCE, it could maintain a 4.75% PGR (again PGR = ROCE * fraction of earning reinvested = 47.5% * 10% = 4.75%).
Alphabet ROCE in recent years
Source: author and Seeking Alpha.
Now we have all pieces of the puzzle in place to estimate the long-term return, as summarized in the chart below. Again, at its current price levels, the OEY is estimated to be ~3.4% for GOOG. And the PGR is about 4.75% as mentioned above. So the total return in the long term at the current valuation is almost about 9%, a pretty decent long-term return considering the safety of the investment. And as you can see from the following chart, the return does not change that much even when the ROCE fluctuates by quite a bit as shown in the green box. This echoes the comment that I made above that there is no need to be alarmed by a relatively small decrease of ROCE in recent years compared to the 10-year average.
Also as aforementioned, this chart also illustrates the beauty of a Buffett-style long-term value investor. You do not need a doubt-digit growth rate or a dirt-cheap entry price to achieve a double-digit long-term return. Assuming a double-digit growth rate is a dangerous premise to start with anyway. When a good quality stock with a reasonable perpetual growth rate is bought at a reasonable price, we would receive a solid return in the long term.
Finally, a word about the census estimates. As shown below, the consensus is quite bullish about the stock too. Based on 7 Wall Street analysts offering 12-month price targets, the average price target is $3287 with a high forecast of $3500. The average price target represents a 10.5% change from the current price and the high forecast is a 17% change. The main difference between my analysis and the consensus is the time frame. Again, in the short term, it is totally possible that a higher return can be achieved primarily because of a valuation change. However, in the long term, all fluctuations in valuation are averaged out and what matters are perpetual growth rate and the owners’ earning yield.
GOOG long-term ROI
Source: author and Seeking Alpha.
GOOG stock ratings
Source: TipRank.
There are risks involved with GOOG as detailed below:
In our barbell retirement model, GOOG is an attractive stock for the growth end of the barbell. It features an optimal combination of excellent financial safety, strong secular support, and excellent prospects for perpetual growth. Specifically,
This article was written by
** Disclosure: I am associated with Sensor Unlimited.
** Master of Science, 2004, Stanford University, Stanford, CA 

Department of Management Science and Engineering, with concentration in quantitative investment 
** PhD,  2006, Stanford University, Stanford, CA 
Department of Mechanical Engineering, with concentration in  advanced and renewable energy solutions
** 15 years of investment management experiences 
Since 2006, have been actively analyzing stocks and the overall market, managing various portfolios and accounts and providing investment counseling to many relatives and friends.
** Diverse background and holistic approach 
Combined with Sensor Unlimited, we provide more than 3 decades of hands-on experience in high-tech R&D and consulting, housing market, credit market, and actual portfolio management. We monitor several asset classes for tactical opportunities. Examples include less-covered stocks ideas (such as our past holdings like CRUS and FL), the credit and REIT market, short-term and long-term bond trade opportunities, and gold-silver trade opportunities. 
I also take a holistic view and watch out on aspects (both dangers and opportunities) often neglected – such as tax considerations (always a large chunk of return), fitness with the rest of holdings (no holding is good or bad until it is examined under the context of what we already hold), and allocation across asset classes.

Above all, like many SA readers and writers, I am a curious investor – I look forward to constantly learn, re-learn, and de-learn with this wonderful community.

Disclosure: I/we have a beneficial long position in the shares of GOOG either through stock ownership, options, or other derivatives. 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.

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She has been writing columns on consumer gadgets for over 2 years now. Her areas of interest include smartphones, tablets, mobile operating systems and apps. She holds an M.C.S. degree from Texas A&M University.