Asymco

Asymmetric Intelligence

iPhone

  1. Apple dominated 2025 best-selling smartphone rankings

    Nota Bene

    Counterpoint Research published its latest market estimates for best selling phones in 2025. The list is:

    1. iPhone 16
    2. iPhone 16 Pro Max
    3. iPhone 16 Pro
    4. iPhone 17 Pro Max
    5. Galaxy A16 5G
    6. Galaxy A06 4G
    7. iPhone 17
    8. iPhone 15
    9. Galaxy S25 Ultra
    10. iPhone 16e

    What’s notable, however, is that the base model iPhone 17 took 7th place. This contrasts with the iPhone 16 managing only 10th place in 2024, and very much reinforces the widespread view that the base 17 is the model to buy unless you specifically need one of the pro features. It’s the reason we crowned it as “the best overall iPhone in years.”

    Source: 9to5mac.com

    NB: Not as exciting as the 20% market share for the full year, the saturation of the list by Apple products is indicative of a dominance in revenues not just volumes of sale. The Apple products have a significantly higher average selling price.

  2. Apple Services: Right on Cue

    Research

    On January 12, Eddie Cue dropped a few significant digits on us:

    The App Store alone saw over 850 million average weekly users globally. Developers earned over $550 billion on Apple platform since 2008.

    Apple Pay eliminated well over $1 billion in fraud, while generating more than $100 billion in incremental merchant sales globally. Purchases made through Apple Pay significantly outpaced the overall growth in consumer spending levels during the peak holiday shopping period in November and December. Apple Pay is now available in 89 markets. with more than 11,000 banks and network partners — including more than 20 local payment networks. Tap to Pay on iPhone expanded to 34 additional markets — now covering most of Europe — and is live in a total of 50 markets, with more than 15 million merchants of all sizes across the world accepting contactless payments using just an iPhone

    Apple TV eclipsed all prior viewership records in December 2025, with 36% increase in monthly engagement (total hours viewed). To date, Apple TV has amassed 672 award wins and 3,085 nominations (excluding 2026).

    Apple Music reached all-time highs in both listenership and new subscribers.

    Apple Fitness+ expanding to 28 additional countries and regions offering more than 8,000 workouts and meditations in 4K Ultra HD.

    In 2025, Shazam generated over 1 billion recognitions per month.

    Expanded Share Item Location feature in Find My to 27 additional airlines, bringing the total to 36. (This feature allows private and secure sharing of an AirTag’s or Find My network accessory’s location with an airline’s customer service, reducing “truly lost” or unrecoverable luggage by 90 percent)

    Apple Podcasts expanded transcripts to over 125 million episodes in 13 languages.

    Apple News solidified its position as the No. 1 news app in the U.S., Canada, and Australia, and No. 2 in the UK. News features over 3,000 publications and more than 600 titles with Apple News+. News+ expanded its offerings with the debut of Apple News+ Food, which includes 100,000 recipes from 60 publications in the U.S., the UK, Australia, and English-speaking Canada. Apple News now includes over 150 local newspapers and news feeds across 50 U.S. states, seven Canadian markets, and London.

    Apple One Individual and Family plans are available in more than 100 markets world-wide, with Apple One Premier, which also includes Apple Fitness+, available in more than 20 markets.

    Historic data is not available on most of these singular data points however they are available at least for the payments to developers. In fact, there are 26 such data points. They are shown in the graph below as the blue dots.

    The green dots and curve fitting them is my estimation of the total billings for App Store. That is, the total spent by customers on the App Store. To date, that amount is over three quarters of a trillion dollars. ($733 billion to be precise.)

    Note that the data can be represented by a third order polynomial. Furthermore, since the r-squared is 0.9999, the function is very predictive. As an exercise, using this analysis it can be determined that $1 trillion will be achieved by the first quarter of 2028.

    The beauty of a polynomial growth rate is that the rate of payment, that is the amount paid on a monthly basis, is itself accelerating. The following graph shows the payment rate in $million/day for developers.

    This growth suggests that quite soon we will be nearing a rate of $300 million/day or $100 billion per year developer payment rate.

    This is, of course, only the tip of the iceberg. As Eddie Cue points out in the press release,

    In 2024, the App Store ecosystem facilitated $1.3 trillion in developer billings and sales, with more than 90 percent of that commerce going directly to developers, with zero commission paid to Apple.

    To understand the totality of transactions on Apple platforms we need to explore the entirety of the App economy. There is for another post. Stay tuned.

  3. Strong iPhone sales expected to power record Christmas quarter for Apple

    Nota Bene

    Apple is set to report its strongest iPhone sales growth in four years on Thursday - and likely the company's best quarterly revenue to date…

    Strong iPhone sales expected to power record Christmas quarter for Apple appeared first on MacDailyNews.

    In China and developing markets, Apple drew customers with the refreshed camera design and higher storage capacity of the latest Pro devices.

    The company led the global smartphone market last year with a 20% share, according to research firm Counterpoint, up from 18% in 2024.

    Overall, Apple is expected to report that iPhone sales rose 13.8% in its October-December fiscal first quarter, according to analysts polled by LSEG. That would mark the strongest growth in more than four years.

    Total revenue likely increased 11.4% to a record $138.43 billion, aided by a 14.1% jump in Apple’s the services business.

    In Greater China, sales likely jumped about 15%, according to Visible Alpha data.

    Some investors believe Apple can make money from AI without the massive infrastructure investments pledged by its Big Tech rivals.

    “Apple can probably generate a positive return on very little AI investment, thanks to its distribution,” said Gerrit Smit, manager of the Stonehage Fleming Global Best Ideas Equity fund, which holds Apple stock.

    Read the original article →

    NB

    My estimate is 14% growth in iPhone revenues. 14% growth in Services and $139 Billion revenues. Not a big difference to this poll.

  4. Morgan Stanley resets Apple stock forecast ahead of earnings - thestreet.com

    Nota Bene

    Consensus estimates Apple to post about $138.4 billion in revenue and both GAAP and non-GAAP earnings per share (EPS) of around $2.67 for the December quarter. The numbers highlight at least an 11% year-over-year growth in EPS and revenue, but analysts are now tightening their margin forecasts despite favourable iPhone sales and AI roadmap.

    In a note, Morgan Stanley analyst Erik Woodring reiterated an Overweight rating and an unchanged price target of $315, but cautioned investors that Apple stock could “trade sideways to modestly lower after earnings.”

    The firm expects Apple to beat expectations, driven by stronger, more persistent iPhone demand. Woodring expects December-quarter revenue of about $80 billion, around 4% above consensus, and March-quarter revenue of $55.4 billion, about 8% above consensus, citing supply-chain checks and shipment data.

    He said iPhone 17’s “strength remains underappreciated by the Street.”

    Morgan Stanley sees cost assumptions as overly optimistic. The firm forecasts March-quarter operating expenses about 7% above consensus and a gross margin forecast 30 basis points below consensus, driven by rising memory costs.

    As a result, Woodring sees limited scope for positive EPS revisions for Apple, even with a revenue beat.

    Morgan Stanley also flagged potential downside risk to June quarter earnings, estimating EPS of $1.62 versus the consensus of $1.71, citing intensifying memory-related cost pressures. The firm also notes that Apple has historically underperformed the S&P 500 more in Q1 than in any other period.

    Looking ahead to 2026

    All things considered, Morgan Stanley believes Apple is positioned to outperform in 2026 as a wave of new products and AI-driven catalysts is set to shape the company’s growth trajectory. The firm particularly highlighted the relaunch of Siri in February and Apple Intelligence in June at Apple’s Worldwide Developers’ Conference (WWDC).
    Some notable introductions expected include its most “innovative iPhone in 10+ years (Foldable)“, plus the first smartphone powered by 2-nanometer chips, part of the iPhone 18 family.

    The firm sees greater benefits from share gains and higher average selling prices, with Morgan Stanley underscoring an EPS of $9.77 for FY2027, roughly 7% above Wall Street consensus.

    Read the original article →

    Our Take

    Earnings will be above consensus. All eyes will be on how margin guidance due to pressure from memory pricing. Every year it's another thing that is cause for drama. It never matters.

  5. JPMorgan boosts Apple price target to $315 ahead of earnings, citing strong iPhone 17 demand

    Nota Bene

    JPMorgan has raised its price target on Apple stock to $315 from $305, maintaining its overweight rating, as the bank expresses optimism…

    JPMorgan boosts Apple price target to $315 ahead of earnings, citing strong iPhone 17 demand appeared first on MacDailyNews.

    NB:

    The iPhone 17 demand was evident during the last quarterly update from Apple. Management provided guidance one month into the quarter (and we are now one month into the next quarter) such that y/y growth of at least 13% in iPhone revenues was the only way to match that guidance.

    Read the original article →

  6. Predicting Apple's Biggest Quarter Ever

    Research

    Apple's Money Mountain

    As we approach the earnings release for the first fiscal/fourth calendar quarter for Apple, it's time to look back three months at what the company delivered and guided in the previous quarter.

    The summary for results for fourth (fiscal) quarter of FY2025:

    • Revenue up 8% year-over-year, a new September quarter record.
    • EPS was up 13% year-over-year.
    • Product revenue was up 5% year-over-year driven by growth across iPhone and Mac.
    • iPhone revenue was up 6% year-over-year, and set a September quarter record despite supply constraints faced on several iPhone 16 and iPhone 17 models.

    The iPhone active installed base grew to a new all-time high and had a quarterly record for upgraders. Also, Apple reached a new all-time high for installed base of active devices.

    • Mac revenue was up 13% year-over-year, driven by MacBook Air.
      Apple grew in every geographic segment, with strong double-digit growth in emerging markets.
      Mac installed base reached another all-time high, with nearly half of customers who purchased a Mac being new-to the product.
    • iPad was down 3% revenue and but over half of the customers who purchased iPad this quarter were new-to the product. iPad also had a September quarter record for upgraders.
    • Wearables, Home & Accessories Revenue for the category was flat y/y.
      Apple saw a September quarter record for upgraders to Apple Watch, and over half of Apple Watch buyers were new-to the product.Both the Apple Watch and AirPods installed bases reached new all-time highs.
    • Services again set a new all-time revenue record up 15% year-over-year.
      Apple saw double-digit growth in both developed and emerging markets.
      Apple saw a sequential acceleration across the majority of the categories and set new all-time records across Advertising, App Store, Cloud Services, Music, Payment Services, and Video. Apple saw a double digit growth in Apple Pay.

    Guidance was provided as follows:

    We expect iPhone revenue to grow double digits year-over-year, which would be our best iPhone quarter ever. On Mac, keep in mind, we expect to face a very difficult compare against the M4 MacBook Pro, Mac Mini and iMac launches in the year ago quarter. We expect Services revenue to grow at a year-over-year rate similar to what we reported in the fiscal year 2025.

    We expect gross margin to be between 47% and 48%, which includes an estimated impact of $1.4 billion of tariff-related costs. And so for the December quarter, we expect operating expenses to be between $18.1 billion and $18.5 billion. We expect OI&E to be around $150 million, excluding any potential impact from the mark to market of minority investments and our tax rate to be around 17%.

    Based on these forecasts my estimates for the top, bottom and middle lines are as follows:

    • Revenues: $140 Billion (+12%)
    • EPS: $2.70 (+12.5%)
    • iPhone: $78.9 Billion (+12%)
    • Mac: $9.4 Billion (+4%)
    • iPad: $8.5 Billion (+5%)
    • Wearables: $12.9 Billion (+10%)
    • Services: $30 Billion (+14%)

    If there is an error in the above I would guess it's in iPhone being too low and the iPad/Mac and Wearables being too high. Nevertheless, I think this will be Apple's biggest quarter ever with significant growth acceleration on the top and bottom lines. [Notable will also be a rapid acceleration in R&D spending (+25%) as suggested by guidance.]

    As we head into this blockbuster quarter, Apple shares are trading at a P/E ratio of 32 to 33, a significant drop from above 35 during previous few quarters. During the last three months, the share price has declined about 15% as Mr. Market looked at the money mountain above and decided he wanted none of it.

  7. Hyper Tension

    Research

    The iPhone 17 is the 19th generation of iPhone. The Pro Max is the 50th iPhone model and the 2TB version is the 158th variant, not including color variations. The table showing all the previous variants, models and generations is shown below.

    Config #Model #GenerationYear of launchModelMemory (GB)
    1112007iPhone4
    2112007iPhone8
    3112007iPhone16
    42220083G8
    52220083G16
    63320093GS8
    73320093GS16
    83320093GS32
    944201048
    10442010416
    11442010432
    125520114S8
    135520114S16
    145520114S32
    155520114S64
    16662012516
    17662012532
    18662012564
    197720135C8
    207720135C16
    217720135C32
    228720135S16
    238720135S32
    248720135S64
    25972013SE16
    26972013SE32
    27972013SE64
    28972013SE128
    291082014616
    301082014664
    3110820146128
    3211820146 Plus16
    3311820146 Plus32
    3411820146 Plus64
    3512920156S16
    3612920156S32
    3712920156S64
    3812920156S128
    3913920156S Plus16
    4013920156S Plus32
    4113920156S Plus64
    4213920156S Plus128
    4314102016732
    44141020167128
    45141020167256
    46151020167 Plus32
    47151020167 Plus128
    48151020167 Plus256
    4916112017864
    50161120178128
    51161120178256
    52171120178 Plus64
    53171120178 Plus128
    54171120178 Plus256
    5518122018X64
    5618122018X256
    5719122018Xr64
    5819122018Xr128
    5919122018Xr256
    6020122018Xs64
    6120122018Xs256
    6220122018Xs512
    6321122018Xs Max64
    6421122018Xs Max256
    6521122018Xs Max512
    66221320191164
    672213201911128
    682213201911256
    692313201911 Pro64
    702313201911 Pro256
    712313201911 Pro512
    722413201911 Pro Max64
    732413201911 Pro Max256
    742413201911 Pro Max512
    7525142020SE64
    7625142020SE128
    7725142020SE256
    782614202012 mini64
    792614202012 mini128
    802614202012 mini256
    81271420201264
    822714202012128
    832714202012256
    842814202012 Pro128
    852814202012 Pro256
    862814202012 Pro512
    872914202012 Pro Max128
    882914202012 Pro Max256
    892914202012 Pro Max512
    903015202113 mini128
    913015202113 mini256
    923015202113 mini512
    933115202113128
    943115202113256
    953115202113512
    963215202113 Pro128
    973215202113 Pro256
    983215202113 Pro512
    993215202113 Pro1024
    1003315202113 Pro Max128
    1013315202113 Pro Max256
    1023315202113 Pro Max512
    1033315202113 Pro Max1024
    1043416202214 Pro 128
    1053416202214 Pro 256
    1063416202214 Pro 512
    1073416202214 Pro 1000
    1083516202214 Pro Max128
    1093516202214 Pro Max256
    1103516202214 Pro Max512
    1113516202214 Pro Max1024
    1123616202214128
    1133616202214256
    1143616202214512
    1153716202214 Plus128
    1163716202214 Plus256
    1173716202214 Plus512
    1183817202315 Pro 128
    1193817202315 Pro 256
    1203817202315 Pro 512
    1213817202315 Pro 1024
    1223917202315 Pro Max256
    1233917202315 Pro Max512
    1243917202315 Pro Max1000
    1254017202315128
    1264017202315256
    1274017202315512
    1284117202315 Plus128
    1294117202315 Plus256
    1304117202315 Plus512
    1314218202416 Pro128
    1324218202416 Pro256
    1334218202416 Pro512
    1344218202416 Pro1024
    1354318202416 Pro Max256
    1364318202416 Pro Max512
    1374318202416 Pro Max1024
    1384418202416128
    1394418202416256
    1404418202416512
    1414518202416 Plus128
    1424518202416 Plus256
    1434518202416 Plus512
    1444618202416e128
    1454618202416e256
    1464618202416e512
    1474719202517256
    1484719202517512
    14948192025Air256
    15048192025Air512
    15148192025Air1024
    1524919202517 Pro256
    1534919202517 Pro512
    1544919202517 Pro1024
    1555019202517 Pro Max256
    1565019202517 Pro Max512
    1575019202517 Pro Max1024
    1585019202517 Pro Max2048

    Each of these models had a starting price (unlocked, US Apple store price in USD, before taxes, subsidies, etc.) The price and duration of sales period are shown in the following diagram (click on picture for full-size view.)

    The eye is naturally drawn to the upper right corner where the new top-of-the-line iPhone 17 Pro Max 2TB variant is priced at $1999. This is not unexpected as the introduction of higher memory or "Pro" variants has broadened the upper end of the price range in a more-or-less regular cadence. Historically these increases were every three years but we've now gone four without a jump.

    However, the delay is made up for by a significantly higher gap up. Only in 2018, with the launch of the Xs, did we see as significant a jump ($400) as we did today. Unlike in 2018, there are no other variants filling the gap. There is no $1899 iPhone or a $1799 or $1699 either. The next model is the 17 Pro Max 1TB at $1599. It also happens to be the same price as the 16 Pro Max 1TB, as indeed all the other 16->17 upgrades kept the same price.

    The price "slots" are all filled nicely including with the typical decrease in price by $100 for year-old variants, the 16 Plus 256, 16 Plus 128 and 16 128. Since the SE was withdrawn last spring, the entry point for a new iPhone is down to $599, now the "floor" of the price band.

    And so the "stairway to heaven", as this graph came to be known persists. It's a graduate level thesis on pricing which speaks volumes on pricing power, especially relative to the Android alternatives and to almost every other consumer electronics category. I won't repeat the observations made about this pattern over the years but I will say that the point Apple wishes to make is that if you want an iPhone, there is one at every price you can afford, and used ones are still available well below the floor new iPhones sell at. By stretching the band upward, it provides greater storage and more functions bundled to those who really need it.

    However, one problem with this graph is that it does not account for inflation. Taking the month of June 2025 (the last for which data is available,) the adjustment for 2007 is 1.53. In other words prices now are are 53% more expensive (as are wages, mostly). If we were to present the pricing data at constant June 2007 dollars, it would look like this:

    Note that I am showing the unadjusted and adjusted graphs next to each other so that a comparison can be made at a glance. The density of the data does not permit the labeling of the adjusted graph in its entirety and the hundreds of lines needed cannot be made consistent in color across the two graphs.

    Nonetheless, the inflation adjusted data is startling. Excluding the 2TB outlier, the inflation adjusted graph is peaking at around $1000 with the median below $700. Shockingly, that median is almost exactly the same as the iPhone 3G's launch price of 2008 and one can visually trace a line across the whole graph maintaining this average selling price to the present. The outlier $1999 2025 iPhone would be a $1300 2007 price point. Not cheap but it exceeds in storage and performance any laptop costing $4000 back then.

    From its inception, the iPhone was labeled "expensive", "exclusive" or "premium," somehow not for everyone. But 3 billion sold and 1.5 billion users later this is obviously wrong. It is very much a mainstream product. Almost 1 in 5 human beings on the planet are using it [although it be the wealthiest 20%]. But it did not get there by lowering prices. Not even for those living in countries with far lower income levels. It got there by keeping prices steady while improving performance exponentially and adding new measures of performance that nobody asked for but everyone wanted.

    There is something quite extraordinary about this product. And it's not anywhere near being done improving. It still elicits an increase in heartbeat and a dilation of the pupils. I always said it's in the market for hormones.

    Speaking of, the same price band analysis can be applied to the iPad, Mac, and AirPods. Not yet to the Vision Pro, which tells you something. But the Watch, that's another classic segmentation story. Now it seems to be ready to diagnose the rise in blood pressure you're likely to get by looking at these graphs.

  8. The Joy of (new) Numbers

    Research

    In the latest, (Fiscal Q3, Calendar Q2 2025) conference call, Tim Cook made a welcome announcement: "We also recently marked a significant milestone. We shipped the 3 billionth iPhone since its launch in 2007."

    This was welcome because the company has not been providing iPhone unit shipment numbers since Q4 2018. What it has meant is that the number of iPhones sold and their average selling price had to be estimated. Active iPhones were occasionally provided but quite rarely.

    With this update, the veil has been party lifted. I, as well as you I'm sure, rushed to assess how well we have been estimating the iPhone economy over the last seven years. Prior to Tim's data dump, my own estimate for total iPhone shipments was 3.104 billion, including the last quarter. [Keep in mind that the 3 billionth iPhone may have shipped in the beginning of the quarter which amounts to more than 50 million units prior to announcement so my error of 104 million is minus perhaps 50 million.]

    In the worst case, my error amounts to about 3.4% over the entire lifespan and perhaps 5% over the estimate period. That is perhaps not criminal since, after all, what's 100 million iPhones between friends?

    I adjusted the estimated average selling price to reflect this error and shaved essentially one quarter's worth of shipments from the data set. In other words, my estimate would have been that 3 billion was reached in March rather than June. Mea culpa.

    The new view into the entire iPhone shipment history is shown below. Also below is the impact of adjustment in the revenue per unit (i.e. average selling price.)

    Note that I used trend lines to show the four-period (12 months) running average to remove the seasonality. Perhaps there is something to be read in the pattern. I would say that there are some notable surges as during the initial uptake, during the first "supercycle" in 2014, the surge during Covid and perhaps the "China recession" of 2018.

    Clearly we are not at the highest sales levels today, as the Covid surge will take some time to grow into but at the same time the volumes are not decreasing. You can see the contrast to the iPod touch when an alternative was available, namely the iPad. The demise of the iPhone has been greatly exaggerated.

    Note also that I also included the iPad, Mac and the iPod touch for comparison. You can try your hand at reading the patterns there. For the record, my cumulative Mac estimate (since Q4 2005) is 398 million[1] and the cumulative iPad is 855 million. Here are the iPhone, iPad and Mac cumulatively with a current total of about 4.3 billion:

    Not shown are iPods (touch alone is about 114 million), Watches (probably at least 250 million) and Vision Pro (single digit millions) or wearables and home. If we did include those, it's a safe bet that Apple has shipped over 5 billion devices.

    Interesting, but not as interesting as how many are active (in use at least once a month.) For that estimate we have another set of data:

    The linear extrapolations for active devices, active iPhone and, on a separate scale, actual Apple Services revenues can be seen. Also subscriptions, as long as they were available, plus other data sets for comparison such as Amazon Prime subscriptions, Netfilx and old Apple Music and iCloud account data.

    At the risk of overloading an already busy graph, it might be interesting to show cumulative devices vs. active devices:

    The Composition of Active Devices

    The top of the area graph seems to be not too different than the top of the red dotted device line. What might be instructive is to calculate the ratio between these two: the active devices and the cumulative devices during the period from 2016 (when 1 billion active were reported) and the beginning of this year when the last figure was reported (2.35 billion active devices on Jan. 30 2025).

    Again, excluding wearables, iPod touch, Apple TV and Apple Vision Pro we have these ratios:

    DateRatio of Active devices to Cumulative iPhone, iPad and Mac sold
    Q4170.66
    Q4180.63
    Q4190.60
    Q4200.60
    Q4210.59
    Q4220.58
    Q4230.58
    Q4240.57

    What this suggests therefore is yet another way to forecast the value of Apple as an enterprise. We already know that the prediction of active devices, revenue per device and margin is sufficient to forecast the company's earnings. These all seem to be quite linear and thus predictable. Now we can add the relationship to devices sold as yet another way to calibrate or test assumptions.

    After diligently doing so, simply multiplying the results by a random number called the P/E ratio (aka "sentiment") allows you to predict the share price at any point in the future.

    Have fun.

    1. It would be interesting to consider that if, as it's been often claimed by Apple, half of Mac users and half of iPad users are new to the products, then there would be 200 million new Mac users and perhaps 400 million iPad users.
  9. The Apple Production System

    Research

    Apple’s relationship with China has always been a point of worry for investors. Nine years ago Carl Icahn sold his entire stake in Apple due to China fears. In April 2016 Reuters reported that "Icahn had been a huge cheerleader of Apple, acquiring a stake in the company almost three years ago, repeatedly calling the investment a `no brainer.'" In an open letter to Apple Chief Executive Officer Tim Cook in May 2015, Icahn had argued that shares of the iPhone maker were worth $240 ($60 split adjusted), about 90 percent more than they had been trading. At $240 a share, Apple's market cap would be $1.4 trillion, Icahn asserted. But Icahn, who owned 45.8 million Apple shares at the end of 2015, said China's economic slowdown and worries about how China could become more prohibitive in doing business triggered his decision to exit his position entirely.

    Icahn’s stake when he acquired the shares was worth nearly $3 billion and he sold it for about $5 billion. A $2 billion profit. But China worries kept him from holding until today when his shares would have been worth $36.6 billion, thus foregoing $31.6 billion in profit.

    Leaving $31 billion on the table (not including dividends) seems a high price to pay for a misidentified anxiety on China.

    The public reasoning was: "But you worry a little bit, maybe more than a little, about China's attitude."The Chinese government could `come in and make it very difficult for Apple to sell there … [They] can do pretty much what [they] want there,' Icahn said. Earlier [that] month, China shut down Apple’s iTunes movies and iBooks stores within the country, following Beijing's introduction of regulations in March 2016 imposing strict curbs on online publishing, particularly for foreign firms."

    That was 2016. Today the concerns appear to be:

    • Slowing sales due to rising competition from Chinese brands
    • Slowing sales due to Chinese economic slowdown
    • Tariffs and other barriers to trade affecting pricing in the US
    • Geopolitical threats to supply chain, including processor manufacturing in Taiwan

    Should today's investor worry about China more or less than Icahn did in 2016?

    In the case of competition in China, we have to understand that China does not have a free market or "laissez-faire" economy. The clue would be the middle “C” in CCP which, importantly, has a monopoly on political power in China. In spite of an ideology hostile to private property and market economics, the fact that Apple not only is allowed to operate in China but also is the market leader in urban (read: wealthy) areas and indirectly employs millions of workers and empowers millions more developers should be seen as something of a miracle. It continues to operate only insofar as the CCP allows it to continue and the CCP is nothing if not calculating. Clearly, China has seen Apple’s presence in the market (both as producer and seller) as beneficial. One could argue about who benefited most but overall deals happen (and persist) because both parties benefit.

    The competition has been improving lately, but when has it not?

    Fundamentally, from the consumer point of view, the competition question is moot since the alternatives are not iOS. The iOS ecosystem is incredible from a value-generation point of view, and Android has been clearly contained as a threat. (A nostalgic footnote. Recent talk of Alphabet being forced to sell Android is a wonderful reminder of the question I asked many, many years ago: why should a search engine need an Operating System (or a browser), but more about this later).

    Chinese macroeconomic worries are not new (see Icahn’s from 2015). In most economies cycles are natural but in China there has been such a long expansion (since at least the 1990s) that a slowdown is considered a huge threat to stability. A recession would be seen as an existential threat. The CCP intends to manage its way through economic stress—one of the defining aspects of their semi-controlled economy is that “the state knows best” and markets can and should be controlled. This won’t last but the consequences are not likely to be catastrophic. China’s economy is probably large enough to avoid sharp changes which gives management enough time to muddle through. I would not say that this worry is unwarranted but rather that the changes are gradual enough to allow for some strategic planning.

    The Tariff question has been partly touched on in a previous post. But the flip-flopping on the topic suggests that it’s a bargaining method similar to holding a gun to your head while threatening someone else that if they don’t do what you ask for, you’ll pull the trigger. Then relenting when they say nice things. Then repeating it.

    Tariffs do not affect the customer relationship with the brand.

    In 2016 Icahn’s worries were not geopolitical (they were just political) but has the world become more unstable since? The Covid pandemic was the trigger for much of this instability and we are still dealing with the consequences globally. However the bigger forces behind global changes are demographic and the subsequent loss of growth in China (and Russia) are causing authoritarians to find external threats to stay in power.

    This will not play out quickly. There are worries but we should consider China (and India, and Africa) as sources of non-consumption that can and will be addressed with production. So the worry here is again structural and slow-burning. I would argue decades in the making.

    Not much has been said about the benefit to Apple of its China strategy. Many assume that lower costs and access to a large market are all that has been gained. But it’s much more complex than that. The access was not to a lower cost base but also a much more agile and flexible production infrastructure. The flexibility allows for a very tightly coupled value chain. The result is a reduction in inventory and a rapid time-to-market which is essential to Apple’s integrated product/software/service rhythm of yearly launches.

    I’d argue that without the flexible, at-scale production system China allowed Apple would not have been able to succeed at reaching a billion highly satisfied users. The world would have been awash with cheap Android phones and very few iPhones, a repeat of the PC model where hardware was largely irrelevant.

    The challenge of the future is to take this model globally and either transplant it to India and other places or to scale it in such a way that it can be distributed to many centers of production. Toyota famously not only created a product system that reduced cycle time and inventory but did it with 400 plants globally. I certainly hope that the Apple Production System will also be celebrated one day as the “machine that changed the world”.

    Come learn more about the Apple Production System at the ACTIVE conference.

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  11. Google and Apple, The Beginning

    Research

    Are Apple and Google competitors or are they partners?

    Prior to the launch of the Android operating system, Apple and Google collaborated on many projects. Google Search was predominant on Apple products including the (at the time) new iPhone. The iPhone also launched with support for Gmail and had native Google Maps and even YouTube. Google was a cornerstone supplier for the new smartphone.

    After the launch of Android only a year later, the relationship changed. The two companies came to be viewed as mortal enemies. The perception that Android was disruptive to Apple—insofar as it undercut the pricing power of the new touch-based user experience—was universal. The "zero price" of Android and its licensing by all other phone makers suggested a competitive collapse was imminent for the fledgling iPhone. Android phones were far cheaper and "good enough." If not immediately, then with the resources of all phone makers and Google itself, Android would surely soon overtake the iPhone in performance along all dimensions. It took a great deal of courage to argue otherwise.

    But, over time, the notion that the iPhone would continue to exist became more widely held. Holding on to a "premium" positioning, iPhone seemed to be have pulled a rabbit out of a hat, perhaps because of Steve Jobs' reality distortion field or because of magical marketing. Nonetheless, doubts over long-term growth persisted.

    Having survived Android, Apple was still seen as vulnerable to a multitude of Google initiatives including Chrome and Chromebooks, a range of Google Pixel phones (enabled by the acquisition of Motorola and HTC.) The entry of Google wearables (enabled by the acquisition of Fitbit), Glasses, the Play Store, YouTube content, Google productivity apps, Google cloud, Google TV, Nest, Google Assistant and numerous other services were all cited as nails in the iPhone coffin. This is all before the age of Crypto a new generation of AIs came into fashion.

    Throughout this period the iPhone continued to increase its audience, growing its base of users not only from smartphone non-users but also from so-called "switchers", that is, those who moved from Android to iOS. Apple has benefitted from this net positive switching for at least five years now as most of its addressable market has already adopted the smartphone. There are about 1.2 billion iPhone users and it's far more likely that a new iPhone user today arrives from the 3.5 billion Android users than from the 3.2 billion people who don't yet have any smartphone. That is because those who don't yet have a smartphone today are also likely to not yet have access to electricity, cellular networks or money.

    Indeed, it is Android that seems to be in a precarious position. The ecosystem is bleeding not just high-end users but also from fragmentation. Chinese OEMs in particular deliver their own experiences and code bases, eschewing Google services altogether. Large OEMs such as Samsung are seeking to differentiate with their own experiences and ecosystems and accessories and chafe against Google's hardware offerings. Upgrade rates to new Android versions are poor. Support of hardware beyond a few years is lacking. But, most fundamentally, Google has not developed a business model that directly fuels development of Android.

    Put simply, Android is not a profitable product. It's not designed to create revenues. It's designed to reduce costs.

    To understand this, we have to understand Google's business. It's not very complicated. Google's revenues in the last quarter are segmented as follows:

    The colors above indicate the major categories. Blues are Advertising, yellow is "Other" and red is Google Cloud. Other Bets, consisting of research projects, is a 0.4% rounding error. Apart from Search which is about 60%, each major category is about 10%. Advertising as a business model is about 78%.

    To Alphabet's credit, Advertising as a business model has been reduced from 94% a few years ago. Much of that credit goes to Cloud which is a B2B business and has completely different resources, processes and priorities than Search. The "one trick pony" label is less applicable to Google today.

    Search however, and the ancillary properties, are still, by far, the largest sources of revenues and profit. Note that Android itself is missing from this mix apart from Play Store which is a direct Android extension. Play does contribute somewhat as part of "Other" but the OS itself is an enabler across all these categories.

    While not directly producing revenues, what Android does is perhaps even more important. It helps reduce the amount Google has to pay to access its customers. Think of Search as a system which takes queries in and puts results out. These results are what advertisers pay for and the queries are what Google pays for. The output depends on the input. That input is harvested from many users. Access to those users is not free. The cost can be paid by building access directly (Android) or by paying for access to someone else's property (Apple, Windows, or Firefox). In old-school business terminology this is called distribution.

    Distribution is often ignored or considered a superfluous "middleman" to be bypassed. But distribution is foundational to any business. It is, effectively, other people, outside your company, helping you sell your product because they have access to the customers. They get paid for that access, often with a percent of sales. Stores are distribution. Wholesalers are distribution. Resellers are distribution. Without distribution scale cannot happen. Distributors help both producers and consumers by creating access.

    Access is also provided by what we call infrastructure. Just like you can't travel by car from your house to your destination without roads, all access to products and services is effectively infrastructure. If you own the infrastructure then you have to pay to build it and maintain it. If you don't own it you have to pay to use it. All infrastructure has value and all infrastructure has costs.

    This all makes more sense when recalling the historic birth of Android. At the time (2006 to 2008) the worry for Google was that Microsoft's mobile operating system (Windows Mobile née Windows CE) would be licensed as was Windows. That is to say that all phone OEMs would take a license for a nominal fee and build Windows Mobile phones. Microsoft would thus dominate the mobile computing market the way it dominated the PC market (with market share above 95%). Microsoft would then ensure that Bing search was the default on all devices running Windows and Windows Mobile, thus blocking access to what was expected to be the next 3 billion users while capturing all search ad dollars ad infinitum.

    If Windows Mobile were to dominate, Google would be denied distribution, at any price. It would thus be relegated to, at best, 10% market share of mobile search. This would be an existential crisis.

    In this setting, Apple was an ally for Google. Apple was not a search engine provider and was very welcoming of Google search on a nascent Safari browser. Whereas Explorer would block Google search, Safari would offer default placement. Not for free, but for a reasonable cost. Google was a "go-to-market" partner for Apple and it was a symbiotic relationship.

    However, the expectation of Google at the time was that Apple would be no more successful with iPhone than it was with the Mac: A fringe of "creative" or "fanboy" quirky oddballs. This was not just Google's expectation. It was everyone's expectation.

    Android was built to counter a Microsoft mobile OS monopoly with a "zero cost" option vs. Microsoft's end-user-license model. Microsoft made money selling software. Both system software (Windows) and application software (Office.) Google would give away system software (Android) and services (Gmail and Docs) but make money on advertising.

    A genius move. Phone OEMs would much rather pay zero of the OS on their phones than for the non-zero Windows Mobile license. [On a $200 retail cost phone (and thus $90 bill of materials) a $8 OS license is a huge cost.] Google's Android did indeed block Windows Mobile from getting a foothold in the post-PC era.

    But it did so by taking some short cuts. Android itself was an acquisition in 2005 (for $50 million, with a keyboard interface) and, in response to the iPhone, a new touch user interface was developed. It so happened that this interface copied as closely iOS as Windows had copied the original Mac. This perceived theft was such an affront to Steve Jobs that he declared war on Google.

    It was important to ask (as few did) why did Google need to develop an OS, only to give it away. Was its business that robust if it needed to expend enormous energy and capital to build an enabler? The answer is, of course, distribution.

    Google was initially not paying for distribution as most people just typed "google.com" into their browsers. As the URL field became a search field, Google could still expect PC users to make Google.com their search bookmark, one click away.

    But on mobile devices, the friction of the constrained interface meant that defaults mattered. Mobile was going to require new distribution economics. Devices were going to be in the hands of many more people, who, since they did not have full-size keyboards, would type less and who would interact in new (and very succinct) ways. One click away was one click too far.

    With Android (and Chrome) Google set defaults for its services across the platform. If Android was the OS then Chrome would be the default. If Chrome was the default, then Google Search would be the default. For these Android-sourced queries, Google would not pay for distribution. Or, more precisely, would only pay to build and keep Android. Thus the more Android there was, the cheaper it was to obtain search queries for Google. Google had built its own highways: it owned the infrastructure that connected users to its services. These roads were for Android users. And what about iOS users?

    Over a 15 year period the smartphone went from essentially zero to 5 billion users. It became so important to those 5 billion people that they keep it with them every waking moment, use it 100 times for a total of 5 hours each day. That adds up to 182,500,000,000,000 interactions a year and, as a result, it has changed behavior, politics and humanity itself.

    Throughout this period, the relationship between Google and Apple changed. From being allies, to mortal enemies to, as we shall see, partners. We have to understand this new relationship that has emerged and its consequences.

    The next post will explore the relationship in detail using the lens of the deal structure that exists. A deal which is not public and largely unexamined.