We look at the 20 top stocks of 2020 by price return (% change), and earnings per share (EPS), which is an indicator of a company’s profitability. EPS is calculated by dividing a company’s profit by its outstanding shares of common stock. The higher an EPS value, the more profitable a company is deemed.
A Closer Look at the Leaderboard
Tesla’s value surged in 2020, as it raked in 743.4% in returns—the highest of any stock. In fact, it’s the only automaker to enter this list. Zoom comes out on top with $0.66 in earnings per share. This is likely a result of society’s increased reliance on its videoconferencing capabilities, a trend that became clear quite early on last year.
Notable Stocks by Category
If we look at the overall categories, the medical industry pulled in nine of the top 20 stocks in 2020. As the world scrambled to develop an immunization against COVID-19, Moderna was one of the first companies to get there, announcing a vaccine with 94.1% efficacy. As a result, the company showed an impressive 434% in returns. The Tech/Online category came in second, although slightly more diversification is found here, ranging from software to retail and leisure:
In the growing global gig economy, Fiverr’s platform connects freelancers with those in need of their services. Peloton is tapping into the lucrative home fitness market, particularly with people now spending more time at home. Sea Ltd. is a Southeast Asian conglomerate with business verticals across ecommerce, online gaming, and digital payments.
One final interesting observation is that of the stocks in the Other category, two of them deal in the business of solar energy, exhibiting high returns and similar EPS values, likely from a global shift towards cleaner energy sources. Source: 2020 Price Return (% Change) values are from Investors Business Daily EPS values come from Macrotrends, the latest data reported by all companies is from Q3’2020. Methodology: All stocks on the list have an average daily trading volume of 100,000 shares or more and were priced at $12 or higher at the start of the year. Closed-end funds were excluded. Prices and other data shown are as of Dec. 31, 2020. N/A means that EPS data for that company was unavailable. on Today’s connected cars come stocked with as many as 200 onboard sensors, tracking everything from engine temperature to seatbelt status. And all those sensors create reams of data, which will increase exponentially as the autonomous driving revolution gathers pace. With carmakers planning on uploading 50-70% of that data, this has serious implications for policymakers, manufacturers, and local network infrastructure. In this visualization from our sponsor Global X ETFs, we ask the question: will connected cars break the internet?
Data is a Plural Noun
Just how much data could it possibly be? There are lots of estimates out there, from as much as 450 TB per day for robotaxis, to as little as 0.383 TB per hour for a minimally connected car. This visualization adds up the outputs from sensors found in a typical connected car of the future, with at least some self-driving capabilities. The focus is on the kinds of sensors that an automated vehicle might use, because these are the data hogs. Sensors like the one that turns on your check-oil-light probably doesn’t produce that much data. But a 4K camera at 30 frames a second, on the other hand, produces 5.4 TB per hour. All together, you could have somewhere between 1.4 TB and 19 TB per hour. Given that U.S. drivers spend 17,600 minutes driving per year, a vehicle could produce between 380 and 5,100 TB every year. To put that upper range into perspective, the largest commercially available computer storage—the 100 TB SSD Exadrive from Nimbus—would be full in 5 hours. A standard Blu-ray disc (50 GB) would be full in under 2 seconds.
Lag is a Drag
The problem is twofold. In the first place, the internet is better at downloading than uploading. And this makes sense when you think about it. How often are you uploading a video, versus downloading or streaming one? Average global mobile download speeds were 30.78 MB/s in July 2022, against 8.55 MB/s for uploads. Fixed broadband is much higher of course, but no one is suggesting that you connect really, really long network cables to moving vehicles.
Ultimately, there isn’t enough bandwidth to go around. Consider the types of data traffic that a connected car could produce:
Vehicle-to-vehicle (V2V) Vehicle-to-grid (V2G) Vehicles-to-people (V2P) Vehicles-to-infrastructure (V2I) Vehicles-to-everything (V2E)
The network just won’t be able to handle it.
Moreover, lag needs to be relatively non-existent for roads to be safe. If a traffic camera detects that another car has run a red light and is about to t-bone you, that message needs to get to you right now, not in a few seconds.
Full to the Gunwales
The second problem is storage. Just where is all this data supposed to go? In 2021, total global data storage capacity was 8 zettabytes (ZB) and is set to double to 16 ZB by 2025.
One study predicted that connected cars could be producing up to 10 exabytes per month, a thousand-fold increase over current data volumes.
At that rate, 8 ZB will be full in 2.2 years, which seems like a long time until you consider that we still need a place to put the rest of our data too.
At the Bleeding Edge
Fortunately, not all of that data needs to be uploaded. As already noted, automakers are only interested in uploading some of that. Also, privacy legislation in some jurisdictions may not allow highly personal data, like a car’s exact location, to be shared with manufacturers.
Uploading could also move to off-peak hours to even out demand on network infrastructure. Plug in your EV at the end of the day to charge, and upload data in the evening, when network traffic is down. This would be good for maintenance logs, but less useful for the kind of real-time data discussed above.
For that, Edge Computing could hold the answer. The Automotive Edge Computing Consortium has a plan for a next generation network based on distributed computing on localized networks. Storage and computing resources stay closer to the data source—the connected car—to improve response times and reduce bandwidth loads.
Invest in the Future of Road Transport
By 2030, 95% of new vehicles sold will be connected vehicles, up from 50% today, and companies are racing to meet the challenge, creating investing opportunities.
Learn more about the Global X Autonomous & Electric Vehicles ETF (DRIV). It provides exposure to companies involved in the development of autonomous vehicles, EVs, and EV components and materials.
And be sure to read about how experiential technologies like Edge Computing are driving change in road transport in Charting Disruption. This joint report by Global X ETFs and the Wall Street Journal is also available as a downloadable PDF.
