1/7 $AAPL generated ~$102 Bn FCF in last 12 months. Even though it handily outperformed the index in almost all timeframes, it still trades at ~3.8% NTM FCF yield, arguably not an egregious valuation level.
In 2012-16, it was regularly trading at ~10% NTM FCF yield. Why?
2/7 One rationale was AAPL was expected to be disrupted. Its hardware margin was always assumed to be unsustainable.
Even Clayton Christensen feared all doom and gloom for AAPL. The consensus seemed to be "good enough" Androids will prove to be existential threat for iPhone.
3/7 It's fun to go back and see what people were worried about a decade ago. Some wondered whether Android is already "good enough" in 2012 which would erode iPhone's dominance.
Today, teens dread the "green text" in Android.
4/7 It's humbling to see how even the titans of the industry got it wrong. It's a reminder just how excruciatingly difficult predicting tech trend is.
Interestingly, @benthompson understood the power of Apple perhaps better than Christensen did.
5/7 He identified three blind spots in Christensen's argument back in 2013:
"Buyers are rational
Every attribute that matters can be documented and measured
Modular providers can become “good enough” on all the attributes that matter to the buyers"
6/7 Thompson explained why none of those assumptions hold water after close examination.
Why are so many people focused on calling the bottom?
In bear markets, markets feel like a sinkhole. You put your hard earned money to your portfolio, and it just keeps disappearing. Not fun.
2/8 Since markets start to feel like a hot stove, we don't want to touch it anymore. We want to wait when things cool down. So we keep wondering whether things have indeed cooled down.
I really doubt, however, whether any bottoming in the market ever becomes "obvious".
3/8 During Covid, market bottomed in March 23, 2020. @SuperMugatu wrote this piece on May 08, 2020 titled "Devil’s Advocate — The Bull Case"
Almost one and half month after market bottomed last time, being bullish was contrarian.
1/13 Okay then, I just became $SHOP shareholder. Tbh I don't think it's quite dirt cheap. It seems more "fair" to me (~HSD IRR potential) now than I ever did. So why buy something "fair" when perhaps a fire sale is going in some stocks?
2/13 SHOP makes a ton of sense for me in the portfolio context. I already own $FB, $GOOG, and $AMZN.
FB and GOOG are the super-aggregators. SHOP merchants pay tax to FB and GOOG to generate sales.
AMZN is THE marketplace. Love it or hate it, most 3P sellers gotta be there.
3/13 E-commerce is likely to continue to supersede overall retail sales growth for another 10-15 years. So e-commerce remains a very much secular growth theme.
1/9 When Covid sell-off happened, I wrote down a few things on twitter which I still read from time to time. Always instructive to re-read what you're thinking when the market was under fire.
So here goes some thoughts.
2/9 This correction is likely to be more challenging psychologically than Covid drawdown, especially if the pace of drawdown doesn't die down and bottom doesn't appear in the next couple of months.
Everything was down during Covid.
3/9 You could tell yourself it's "okay" to not have pandemic in your scenario. I think a lot of the people may not be so forgiving to themselves this time.
They may introspect "what was I possibly thinking when I paid >50x sales?"
As an $IAC shareholder, I was curious about $TURO IPO (IAC owns ~27% of TURO) and was glancing through the S-1. Some quick notes.
What is TURO?
"Turo is the world’s largest car sharing marketplace where guests can book any car they want"
2/10 ~85k active hosts and ~160k active vehicle listings as of 3Q'21
Insurance is included for the trip.
"Since April 2020, every trip booked on our platform automatically generates a proprietary Turo Risk Score"
3/10 "As of September 30, 2021, we have collected data from over 23 million Days, 5.5 million transactions, 2.2 billion miles driven, and 10 years of claims data since inception to inform our proprietary Turo Risk Score algorithms and use more than 50 data inputs per…
I just closed the poll for deep dives in 2022. Some tight calls there, and some interesting data points about my subscribers.
Let me share the poll results in this thread.
2/ My email for the poll went out to ~800 annual subscribers. Open rate for the email was 71.4% and 298 participated in the poll. Pretty decent participation.
3/ Subscriber base for MBI Deep Dives is almost equally divided between individual investors and professional investors.
It's challenging to write for an audience with this level of diversity, but I relish it every month!
1/ Thread: My presentation for Bangladeshi startups
North South University (NSU), a Bangladeshi university, invited me today to talk about financial modeling for the startups they are incubating. I started with a disclaimer that I never built any model for any startup...
2/ So my presentation was largely more qualitative than quantitative.