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On being reasonable

The discussion on why Apple is cheap was very useful. The debate brought into focus the possible causes for pessimism in the face of overwhelming evidence to the contrary. But maybe there is yet another explanation. The way the data was presented was as a difference between historic and projected growth rates. Is this the way analysts actually think?

Perhaps they don’t project growth based on historic growth, but project earnings given historic earnings. In other words they don’t look at the first derivative (change in earnings) but the  shape of the actual data.

The following chart shows that data, i.e. forecasts as an extension of a sales trajectory. The blue area are actuals and the grey branches show projections at a given end of fiscal year.

Seen this way, we can imagine how the projections can be considered

Why Apple is cheap

Imagine it’s late 2005. Apple’s fiscal year just ended and they reported their performance. You’re an analyst whose job includes forecasting the company’s performance for next year. This is a weighty responsibility.  Your forecast will be blended with those of your peers and used as a “consensus” average. That consensus for the next year will be used to measure the current value of the shares in a ratio called the forward PEG or Price/Earnings/annual earnings Growth. You are supplying the earnings and hence growth forecast while the market offers a price.  As a stock is meant to measure future earnings, your forecast is a crucial and frequently cited figure about whether a stock is priced fairly.

There is some comfort in knowing that there will be many others who will offer such a forecast and your contribution is thus not the only way investors can calibrate the price. However, you should think hard about what you are predicting as it also will reflect your skill in predicting such a visible company.

Apple just had a tremendous two years. 2004 and 2005 saw EPS grow at 274% and 337%. This is largely due to the runaway hit iPod. Given all that is known about the company, what will you put forward? While you’re at it can you also forecast two years forward, namely provide a growth forecast for 2006, 2007 and 2008?

Here is what you and your cohorts publish as a consensus:

You go with a 13% growth for 2006,  15% for 2007 and 5% for 2008. The chances are, you reason, that the iPod will not carry the company’s growth much longer. The competition is sprouting all over and Microsoft is rumored to be launching its own music player.

It makes sense to be conservative and offer a modest growth of 13%. At the same time you can rate the stock a buy as it is still growing. The stock just doubled in the last 12 months and the law of large numbers says that growth cannot last at the same rate as we’ve just seen.

 

 


It’s now late 2006. Apple just closed out another big year. Contrary to your forecast last year, the company grew at a rate of 46%, more than three times faster than you expected.

It turns out the iPod still has some legs and the company’s Mac business seems to be growing. Looking forward you take your 15% growth for 2007 and increase it to 20% and suggest 16% for 2008 and 32% for 2009.

There are rumors of Apple getting into the phone business.

Estimates for Apple’s first fiscal 2012 quarter

As the chart below shows, the last quarter (third calendar, fourth fiscal 2011) was slow with only 52% earnings growth. The discussion centered on the (surprisingly) disruptive effect of the iPhone transition. Surprising since most analysts, myself included, were lulled into thinking that the portfolio of iPhones and their wider distribution would create a smoother sales pattern vis-a-vis the more cyclical pattern seen in the first three years of production.

The second quarter was surprisingly strong and the third was surprisingly weak. So how do we estimate the fourth?

Does Growth Matter?

In last week’s discussion of Apple’s (historically low) valuation, comments arose that perhaps the company’s discount is not unique. Can we look at comparable companies and determine whether the relationship between growth, size and valuation are consistent?

The challenge is in finding “comparable” companies. Apple is characterized by being large in terms of market capitalization, highly profitable, in the technology sector and growing relatively quickly. One can find a cohort of companies with each of these characteristics but not all.

Here is an attempt at looking at the largest companies by Market Capitalization (the so-called Mega-caps) to spot patterns of valuation. Some of the companies in the top 20 mega-caps were technology companies so I thought I’d highlight them. I then also added a few of the top 20 technology companies by capitalization to create a larger sample.

The group I settled on is shown in the list below ranked by market cap.

Companies below $130 Billion in market cap (i.e. below Novartis) are in the top 20 technology list but not in the top 20 overall list.

I then plotted the P/E rate vs. 5 year Growth Rate for these companies, separating the tech sector by color (Red):

The pattern is not encouraging. It appears that there is no correlation. Perhaps the technology companies are, as a group, further up and to the right, but overall they are equally unobservant of growth.

For example, SAP has grown less than 5% in five years and yet enjoys a P/E of 20 whereas Microsoft has grown 18% and has a P/E of less than 10. The non-technology sector companies are similarly broken. Berkshire Hathaway, a conglomerate, is rewarded for slow growth and China Mobile is punished for relative high growth.

But you’ll notice that some companies are not on this chart. That’s because they are outliers. Their growth or P/E are so far out of this cluster that the would make it impossible to discern individual performance. The complete “top 20″ picture is shown in the following chart which will require either a large display or a lot of scrolling (1300×1364 pixels):

The thermodynamics of Apple’s share price

Andy Zaky at Bullish Cross wrote a great post on Apple’s valuation, showing the deep discount of Apple’s earnings vs. an average company. It essentially states that Apple’s money is not green.

Felix Salmon took it forward by enumerating a few explanations that might be used for the despondent valuation. None are successful arguments, but that should not be a surprise.

To understand the phenomenon a bit more precisely, I maintain and think about these charts:

This shows Apple’s share price (“P” in blue) and its earnings per share (“E” in green). In addition

Interactive charts for Apple’s product lines

Warning: This requires Flash.

This is a data set that shows Apple’s product-level performance according to Units sold, Average Selling Prices, Cost of Sales, Gross Margin, Unit Growth, Revenues, Revenue Growth and Gross Margin contribution. It, along with all the other data sets are available under the Products menu at the top of this page.

Default settings:

  • Line Chart
  • Y-Axis set to Revenues.
  • Color set to GM (Gross Margin percent).

Apple could buy the mobile phone industry | Updated

The last time I did this comparison (Apple could buy the mobile phone industry | asymco) was in June after the end of the second quarter. The following chart is an updated look.

 

Here is a discussion of the changes since the last analysis:

Apple’s Guidance Deficits

Every quarter Apple’s management issues a “guidance” or forecast of their own earnings in the following quarter. Over the years, this figure has been nearly useless because not only is it not accurate, the error itself has been wildly variable. I plotted what I call the Earnings Guidance Deficit for Apple based on the formula (Actual EPS diluted – Guidance)/Guidance.

The higher the value in the bars above, the more the company underestimated

Apple’s Income Statement at a glance

This is the cascading view of Apple’s financial performance in the third calendar quarter. It only includes information that is already in the income statement but shows the relative growth of the individual product lines, their cost structures and the relationship between fixed (Operating) expenses and their variable (cost of sales) expenses at a glance.

In the past I would publish current and year-ago data, but in this quarter’s summary I present three years’ history of quarterly data. Note that the full view is quite large (2,220 x 886 pixels).

Here are some handy tips on how to read the chart:

  • The “top line” is the size of the first column in each quarter’s chart.
  • The “bottom line” is the size of the last column.
  • The blank areas are what Apple pays suppliers.
  • The red area is what Apple pays to the government.
  • The Pink and pale blue area is what Apple pays its “exempt” employees. (Other Income and Expense is also included but is nearly invisible).
  • The Green area is what is declared as earned and becomes the “E” as part of the P/E ratio. (Note that not all of this goes to the Cash account as the cash flow statement will reveal).
  • The colored areas in the first column labeled with product name and “GM” (for gross margin) represent what Apple keeps from the sale of each product after paying expenses tied to producing that product.
  • The ratio of sold areas to the corresponding white areas below in the first column represent the margin (as a percent) per product line
  • You can observe the trend over three years by tracking each of these quantities from left to right.

The scale of the chart is shown by the line near the top representing $30 billion.

Apple’s Residual Enterprise Value is less than 7x Earnings

In his third “The Critical Path” podcast, Horace Dediu explained how Apple’s cash can be viewed as a strategic option, an opinion that resonated also with other analysts [1]. Cash is one of the most flexible resources as it can convert quickly into other resources such as brands, companies, technologies, people and even processes. More cash means more strategic flexibility. The large cash reserve Apple has accumulated provides high flexibility for future investments. These characteristics of cash already imply an intrinsic option value. But how big is this value?

Calculating Option Value

To help us determine, I will apply the Black-Scholes model.