Like many people here, I’ve been thinking a lot about food delivery / last-mile O2O platforms. People talk a lot about GrubHub, but I don’t see much discussion about Meituan.
Food delivery companies are 2-sided networks w/ cross-side network effects--the more users there are, the better it is for the restaurants, and vice-versa. For platforms that operate their own delivery fleets, there are also scale benefits/network effects from last-mile delivery.
A few things that drive delivery penetration: 1. Density, density, density 2. Cheap labor / high income disparity 3. Low car ownership (related to #1) 4. Dual-income household / Female labor participation rate
Urban population density is important for several reasons. Pop density = restaurant density, which drives conversion: the more restaurants in a neighborhood, the more dining choices, the higher the conversion when someone opens the app, the greater the ordering frequency.
Density is all-important in last-mile delivery economics. The higher your drop density, the lower the incremental cost per order. For ex, delivering 3 orders to a building doesn’t take that much longer than delivering 1 order to that building.
Delivery is labor intensive (Meituan has half a million daily active delivery riders). While the benefits of cheap labor are obvious, it’s not an absolute requirement, as higher labor costs can be offset by high drop density (e.g. Seamless in NYC or Deliveroo in London)**.
**You don’t need cheap labor so much as you need income disparity. Disparity is good for these platforms albeit clearly unhealthy for society overall. Disparity creates an underclass of workers and an upper class of consumers who can afford their services.
Low car ownership (related to density, as dense cities are likely to have better public transportation and higher costs of car ownership) also makes it less convenient to buy groceries or pick up food. Bad traffic also has similar effects.
Dual-income households and one-person households are more likely to order. In many societies, women are the ones who prepare meals and do the grocery shopping (just factual, not social commentary). When women are working, they are less likely to cook.
China, by far the biggest delivery market today, has all of these traits. China’s urban pop density is 7x (~6,000 ppl/sq mile) that of the US. Car ownership is low & traffic is horrible. Female labor participation is high, and (migrant) labor costs are rising but still cheap.
Similarly, Indonesia has an urban population density in the ~9,000s (!!!). Go-Jek is known for ride-sharing but it’s actually a huge food delivery service as well--the biggest of anyone outside of Meituan by orders.
Meituan dwarfs GrubHub in size. Meituan did $40B in GMV in 2018, roughly 8x Grub. Meituan had 6.3B food orders vs. 160M for Grub. Meituan drivers average 3+ drops per hour, a rate that’s probably >50% higher than any other country in the world.
If investors believe in the ultimate economics of food delivery, which I do (see this rant on Uber, I think food delivery should be similar if not even better margins).
Meituan is in a structurally better market w/greater absolute and relative scale vs peers, and it is closer to its steady state of diminished competition, and hence, profitability, yet it trades at a steep discount to the Grubs of the world.
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Here are my top takeaways from the Morgan Stanley TMT conference in San Francisco this week (1/n): 🧵 👇
Stop giving advice to CEOs on how they should run their businesses. I know you think your 3 years of equity research experience at Citi gave you worldly insights into how to run a Fortune 500 technology company, but I promise you, they 💯 do not give a shit.
Stop eating the apple strudels and hit the gym, fatties. The pandemic has not been kind to some of you. Maybe you should’ve actually bought a Peloton for yourself while you were yolo-ing into the shares at $80 in 4Q.
Long thesis or seminal anti-trust paper? The incoming FTC Chair, @linamkhan, actually wrote one of the best investment analyses on Amazon I've ever read.
"loss leading pays higher returns with platform-based e-commerce than it does with brick-and-mortar stores"
"online retailers ... face the high entry barriers of a railroad coupled with the relatively low exit costs typical of brick-and-mortar retailers"
A story about govt waste and a long pitch on $LMT $NOC $RTX and $HII: While I like to joke about the F-35, this is about the Zumwalt-class destroyer program, the Navy’s cool but expensive next-gen stealth destroyer that can’t shoot, isn’t very stealthy, and doesn't float well.
US military procurement is kind of the opposite of Occam’s razor: where there’s a cheap, simple solution that’s 80% effective, we find a way to do it that’s 20% better but 1,000% more expensive. This is how our tax dollars end up in the pockets of the military industrial complex.
The Zumwalts were designed around three key features, 1) massive long-range phased array radars, 2) an Advanced Gun System firing highly accurate artillery shells called the Long-Range Land Attack Projectile (LRLAP), and 3) a stealthy hull.
Someone pointed out to me that Google has averaged 35% returns in odd years and 5% in even years. It outperforms QQQ by 12% in odd years and underperforms by -12% in even years. Why? Is there a nefarious explanation here (timing of stock grants, etc.)?
Same data in chart form:
It holds true going back to the IPO even if you exclude the IPO year and 08-09 GFC periods.
One of the greatest omnichannel transition stories that is under discussed is Brazil's Magazine Luiza, which has quietly 500-bagged ("only" 300x in USD) in 5 years since Frederico Trajano took over as CEO.
The family-owned "Magalu" was founded in 1957 with a single store selling appliances and the story progresses much like other growth retail stories through store expansion and acquisitions.
Frederico, part of the 3rd generation, was early to see the disruptive effects of the Internet on retail and helped launched the ecommerce site in 2000 when the Internet was just taking off in Brazil.