S3X Appeal

On July 3rd, Elon Musk handed over the first 30 Model 3s and tweeted

“Production grows exponentially, so Aug should be 100 cars and Sept above 1500.”

He added,

“Looks like we can reach 20,000 Model 3 cars per month in Dec”.

In 2016 he stated

“So as a rough guess, I would say we would aim to produce 100,000 to 200,000 Model 3s in the second half of [2017]. That’s my expectation right now.”

He confirmed this estimate early in 2017

“Our Model 3 program is on track to start limited vehicle production in July and to steadily ramp production to exceed 5,000 vehicles per week at some point in the fourth quarter and 10,000 vehicles per week at some point in 2018.”

Overall 2018 production guidance has been 500,000 units and 1,000,000 units in 2020.

The company shipped 220 Model 3s in the July, August and September months. This is well below the expectation of 75,000 that the 2016 guidance would suggest1 or the 1,630 that might be suggested by the “production grows exponentially” July proclamation.

I entered the Q3 production data and kept the previous run rate predictions for Q4 and 2018 and 2020 in the following graph.

 

Continue reading “S3X Appeal”

  1. 100,000 to 200,000 for the second half of 2017 suggests an average of 150,000 for the six months or 75,000 per quarter [↩]

Silicon Valley

You’ve probably heard of Jony at Apple but probably don’t know about Johny.

Jony is a celebrity executive known as the face of Apple Design. Johny is the executive in charge of custom silicon and hardware technologies across Apple’s entire product line.

Under Johny’s leadership, Apple has shipped 1.7 billion processors in more than 20 models and 11 generations. Currently Apple ships more microprocessors than Intel.1

The Apple A11 Bionic processor has 4.3 billion transistors, six cores and an Apple custom GPU using a 10nm FinFET technology. Its performance appears to be almost double that of competitors and in some benchmarks exceeds the performance of current laptop PCs.

A decade after making the commitment to control its critical subsystems in its (mobile) products, Apple has come to the point where is dominates the processor space. But they have not stopped at processors. The effort now spans all manners of silicon including controllers for displays, storage, sensors and batteries. The S series in the Apple Watch the haptic T series in the MacBook, the wireless W series in AirPods are ongoing efforts. The GPU was conquered in the past year. Litigation with Qualcomm suggests the communications stack is next.

This across-the-board approach to silicon is not easy or fast or cheap. This multi-year, multi-billion dollar commitment is rooted in the Jobsian observation that the existing supplier network is not good enough for what you’re driving at. Tiny EarPods, Smart Watches, Augmented Reality, Adaptive Acoustics require wrapping your arms around all parts of the problem. The integration and control it demands are in contrast to the modular approach of assembling off-the-shelf components into a good-enough configuration.

There are times and places where modules are adequate and times and places where they aren’t. The decision depends on whether you are creating new experiences or new “measures of performance” vs. optimizing for cost within existing experiences or measures of performance.

The very notion of a microprocessor is a rejection of the discrete component designs that preceded it. Earlier computers had central processors made up of many discrete components. VLSI stands for Very Large Scale Integration with emphasis on Integration. As computing has progressed toward ambience and ubiquity the idea of using discrete components became normative again but that was not considered sufficient by Apple.

So while the “Silicon” in Silicon Valley has come to be seen as an anachronism, silicon development today means competitive advantage. The only problem is that it takes years, decades even to establish competence. The same duration that it took for the building of Apple as a design-centric business fronted by Jony Ive.

Apple also now needs to be understood along the dimension of silicon-centric engineering as led by Johny Srouji.

  1. Trailing 12 months’ PC shipments 265 million. Equivalent iOS devices 281 million. Not included are Apple processors in Apple TV. [↩]

Micromobility Podcast with Henrik Føhns

It was a pleasure to spend a day with Henrik, the leading tech journalist in Denmark, and the Micromobility Summit at the Techfestival in Copenhagen.

We did the recording live in front of a large audience the evening after the event and it is already causing a stir in Denmark. I think it’s worth a listen (about 30 min.)

Here is a link:
Podcast with Henrik Føhns

There is a short Danish intro, which Henrik did while riding his bike.

 

techtopia.dk (Danish).

Face Time

Since the iPhone launched 10 years ago, 1,253,000,000 units have been sold.1 Given that they don’t last forever, we can assume that only the most recent units sold are still in use. If we measure just the units sold in the last 3 years, the total is about 663 million. Rounding down, we can say that there are perhaps 650 million iPhones in use.

Repeating the exercise for the iPad but extending time in use to 4.5 years, gives a population or install base of about 240 million.

That’s a total base of 890 iOS million units, well below the 1 billion total “active devices” Apple reported in January 2016. The difference can be filled by Apple Watch, Apple TV, iPods and Macs.

Apple also reports that the iPhones get unlocked 80 times per day. That figure was also reported in early 2016. We don’t have a figure for the iPad but I’m going to take a guess of 15 unlocks per day on average. Feel free to argue about these figures in the comments below.

Now, if each of these iOS devices would be unlocked using a 4-digit PIN, the time to bring them into use would be about 2 seconds. Expanding to a 6-digit PIN would probably increase that to perhaps 2.5 seconds (accounting also for failures due to input errors.)

Moving to 6 digits, although more secure, would add friction and hence time to the unlock process. This reminds me of the story of Steve Jobs arguing that decreasing boot times for the Macintosh would save lives. I wondered what would be the savings in time for speeding up the unlock process.

It turns out that, based on the installed base numbers, moving to the more secure 6-digit code would add 2.8 billion hours to the total time to unlock the world’s iPhones and iPads. That’s 321,000 years of waiting added for every year of use.

Fortunately we got Touch ID to replace PIN entry and the time to unlock the iPhone/iPad has decreased to perhaps 1 second, saving 5.6 billion hours of unlock time vs. 4-digit PIN.

Now we have the prospect of Face ID which promises to be faster still. Of course, it won’t be available on all iOS devices for some time, but if it that base of 890 million iOS devices were to migrate to Face ID and if it took a mere 0.5 seconds to unlock, Face ID would save nearly 8.5 billion hours of time that otherwise would be spent typing unlock codes.2

That’s almost a million years.

That’s 12,500 lifetimes.

I’m glad to see Steve’s ideas continue to motivate Apple engineers.

 

 

  1. This includes the current quarter that ends in 4 days [↩]
  2. Given this methodology one wonders how much time is spent using, rather than just unlocking, iOS devices. I’ll leave that as an exercise to the reader. [↩]

A small-screen iPod, an Internet Communicator and a Phone

Apple is now the biggest watchmaker in the world, overtaking Rolex during the last quarter. This achievement happened less than two and a half years after Apple entered the watch market. Rolex, on the other hand, was founded in 1905, 112 years ago at a time when watches were the avant-garde of technology. Given this revelation of sales, we can test the estimates I put forward on the Apple Watch sales, shown below:

We know that Rolex produces about 1 million watches a year and we also know that Rolex had sales of $4.7 billion in 2016. The average revenue per watch1 was therefore about $4,700.

My estimate has been that Apple sold about 15 million Watches in the last 12 months at an average price of about $330. This puts the Apple Watch revenue run rate at $4.9 billion, indeed above Rolex.

They may be slightly high but the news makes me feel quite comfortable in my methodology. Note also that within the last quarter Apple said sales for the Watch increased by 50%. This is also reflected in my estimate of 3 million in Q2 vs. ~2 million for 2016 Q2.

Overall, about 33 million Apple Watch units have been sold since launch and they generated about $12 billion in sales. Coupled with a 95% customer satisfaction score, altogether, this has been a great success story. But only 2.5 years in, it’s still act one.

To understand the long term trajectory, it’s important to qualify this product as part of another, larger story. The Watch, even with LTE, is an accessory to the iPhone. It still cannot be activated without it. Even the coverage plan is an extension to an iPhone plan. The company is careful to address it as a companion product.

But how long will that last?

Continue reading “A small-screen iPod, an Internet Communicator and a Phone”

  1. Includes services such as repairs [↩]

Good, Better, Best

Before the iPhones 8 and X launched I made a prediction on what the iPhone would cost. I concluded that the iPhone price would not change. This is because it has never changed1. Apple collected $767,758,000,000 for the 1,203,732,000 iPhones sold to the end of June or $ 637.8147 per phone.

Of course this is the average price and that average is on a trailing 12 months basis and measures some of the deferrals in income that exist for obscure accounting reasons.

Now that the new iPhones have launched, how probable is my prediction? The first mild surprise is that the total number of phone models has increased to 16. I had no prediction on product count but did not expect the 6S and 6S Plus to remain available. The following graph shows the total number of products in the mix (excluding color variations).

The second surprise was that the iPhone SE has been upgraded in memory from 16Gb/64Gb to 32/128Gb and that the new 32Gb version is $50 cheaper than the old 16Gb. The 128Gb remains priced the same as its 64Gb predecessor.

This means that the SE 32 now occupies a new lowest price band for iPhone: $350. It’s a remarkably capable phone at the lowest price for an iPhone ever. It’s $100 cheaper than the 5C 8 Gb which I bought 3 years ago.

At this point my prediction looks precarious. Continue reading “Good, Better, Best”

  1. Apart from seasonality. Quarterly Minimum = $437, Quarterly maximum = $695, Quarterly Median = $631, Standard Deviation=$58 [↩]

How much will the new iPhone cost?

The answer, regardless of when you ask, is: The same as the current iPhone.

Of course, this is the answer to the question of what will the average new iPhone cost. The average selling price (which combines the revenues and the volumes of all units sold and is reported every quarter) has not varied very much since early 2008. To the degree that there is variance (between $600 and $700) it is due mostly to seasonality and reflects a mix of more expensive units during the launch quarters and a cheaper units during later periods when the product is older and due for an update.

The graph below shows the average selling price as a dashed line and the corresponding prices of individual product variants available for sale in the US during the same time frame.1

The graph shows a high degree of consistency of pattern: Every year a new iPhone is launched which replaces the one launched the year before. The older product is still offered at a reduced price. Price brackets are very firm and set at fixed intervals about $100 apart.

A few minor changes in pattern over the years can be observed:

  • The original iPhone price changed due to a shift in subsidy model shortly after launch.
  • An increase of $50 mid-2011 when the iPhone became available unlocked.
  • Every three years a new, higher, price bracket is introduced, with a  doubling of maximum memory capacity.
  • The iPhone SE was introduced at a slightly lower price.
  • The last year saw a slight increase in the highest price.

The overall pattern looks like a staircase with a widening price range where the lowest price remains constant and the upper price rises every three years by $100.

The “floor” of the range is a consistent $400 while the “ceiling” has expanded from $700 to about $950.

This year’s ceiling is due for the fourth leg up and if the pattern persists, we should expect it to reach $1100.

This iPhone staircase has been built over 10 years and I don’t see it changing over the next three. I therefore drew the blank box over what I thought would be the price range from now until late 2020.

This is what I call the staircase model of Apple pricing. The staircase model must be understood in combination with the flat iPhone average price as the product matures.

As the product matures the user base grows (to nearly 1 billion today). Later buyers will opt for the lower price points, but the availability of higher, more aspirational models (sustained by the brand) means that a minority will gravitate upward, mainly because they can. This ensures that although the median and mode of the price trend downward, the average price stays the same.

The flatness of iPhone pricing is also to be understood in combination with the flatness of Mac, iPod and iPad average pricing (shown below)

The technique of preservation of average price seems to be in effect across Apple. In other words, the evidence suggests that Apple prefers to keep average pricing for all products constant. Individual variants are priced so that, as the category matures, the changing mix leads to consistency in price ownership.

Thus the iPhone can be seen as controlling the $650 point, the Mac $1200, the iPod $200 and the iPad $450. This pricing signals the product’s value and the value of the brand.

The signaling is not just to buyers but also to competitors. Ownership of price forces competitors to occupy adjacent brackets. This process begins at launch: the new Apple product is introduced in what is perceived as a premium stratum2 thus the reaction from competitors is to “undercut” it. But, as Apple climbs the price staircase, preserving the floor, it keeps competitors bunched up at the bottom. Competing in the same brackets with Apple is futile as other brands can’t sustain the perceived premium position.

The result is a remarkable consistency of average pricing which, coupled with a remarkable consistency of competitive positioning, coupled with a remarkable consistency of customer satisfaction and loyalty, leads to a remarkable predictability of cash flows and ability to invest in new product creation..

Apple is thus quite easily understood as a remarkably consistent consumer products business. The only surprise that remains is how long it takes for that understanding to propagate.

 

  1. Prices outside the US vary depending on duties, taxes and currency hedging but generally are based on the US price [↩]
  2. See for example the pricing of the new HomePod [↩]

Estimating Apple’s Second Calendar Quarter

Apple reports second calendar quarter results in about a week. I propose the following estimates:

Fiscal Q3 2017:
Rev ($B) 45.321
EPS ($) 1.62
iPhone (units) 41 million
iPad (units) 9.8 million
Mac (units) 4.35 million
Watch (units) 2.5 million
Services ($) 7.2 billion
Other products ($) 2.6 billion
Gross margin (%) 38.4

The revenue estimate is visualized in relation to guidance (revenue between $43.5 billion and $45.5 billion) and shown in the context of previous actual revenues below:p

The estimates are also consistent with additional guidance provided:

  • Gross margin between 37.5% and 38.5%
  • Operating expenses between $6.6 billion and $6.7 billion
  • Other income/(expense) of $450 million
  • Tax rate of 25.5%

The estimates (and guidance) suggest modest growth of 7% in revenues and 13.7% EPS. The predictability of the quarter suggests that attention will mostly be focused on guidance for the next quarter.

Expectations can vary quite a bit because of the effects of a new launch. The product mix, pricing and timing are all unknown at this time.

What is known however is that the customer base for Apple is increasing and loyalty is higher than ever. What I sense, coming from very few data points, is that there are more iPhones in use than ever before. A few years ago when the market was less saturated it was easy to assume that commodity Android phones and tablets would surge and swamp iPhone/iOS usage.

This has not happened, indeed the data suggests that iOS usage is stronger than ever and that there are many more “switchers” moving from Android to iOS than vice-versa.

This may surprise some but if we look at the PC market, a similar phenomenon has been taking place for years. Mac usage grows and Macs are more visible and valuable than PCs.

It’s important to note that in the latter, post saturation stages, the markets for both phones and computers are increasingly driven by brand value. This resistance to commoditization is due to buyers’ perceptions of quality moving beyond utility and of the prioritization by buyers of new measures of performance. These new measures defy measurement.

Much of what is therefore required of market analysts is intuition.

Other Products

From the way Apple reports its revenues you might think that the company has several operating segments. There are the iPhone, the Mac, the iPad for which units and revenues are reported. Then there are Services and Other Products for which we have revenues only.

Services is a collection of all non-hardware revenues and is (finally) being recognized as a non-trivial business. With reported revenues of $26.6 billion in the last twelve months, it’s big enough to be a Fortune 100 company and set to double in four years.1

That leaves “Other Products” which now becomes the revenue segment that is  “most likely to be ignored.” This segment had revenues of only about $11.5 billion in the last 12 months which would place it at only a Fortune 245 ranking, equivalent to a Toys “R” Us or Biogen. How should we value Other Products?

Other includes many hardware products including iPod, Apple TV, Beats, Apple Watch, AirPods and, soon, HomePod. Each is a significant product, with Watch probably the largest single contributor. But since we don’t have specific unit numbers, we are left guessing at the contribution of each.

The Watch itself has been a point of scrutiny as it could be initially teased out of the mix through an observation of the before-and-after launch vs. trend-line as shown below:

This separation of Watch became harder to discern after the launch of AirPods. Though they are still very hard to obtain, they might be “moving the needle” by now with a contribution that would muddy the Other category further. Same with updated Beats headphones.

Continue reading “Other Products”

  1. Although a non-zero business, the valuation of Services continues to confound observers who cannot separate it from the hardware businesses it attaches to–which themselves are considered near commodity value–thus paradoxically valuing the overlying asset of Services near or precisely at zero. Incidentally, Facebook is Fortune 98 at $27.3 billion and it is also one of the top 5 largest business by market capitalization. [↩]

Join the Micromobility Summit in Copenhagen September 6

I’m Happy to announce that I’ll be hosting the Micromobility Summit at Techfestival this year. Taking place on September 6 in Copenhagen, the one-day summit explores how new technologies affect society, cities and urbanization in the very near future.

Join and contribute here: 

About Techfestival:

This September, Copenhagen will be home to 15,000+ people exploring a new, progressive agenda on technology. One week filled with 100+ conferences, summits, dinners, art installations and concerts, Techfestival’s goal is to break down today’s most complex questions into real talk and tangible experiences.f

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