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The Chinese Uber for trucks Manbang announced Tuesday that it has raised $1.7 billion in its latest funding round, two years after it hauled in $1.9 billion from investors including SoftBank Group and Alphabet Inc.’s venture capital fund CapitalG.
The news came fresh off a Wall Street Journal report two weeks ago that Manbang was seeking $1 billion ahead of an initial public offering next year. The company declined to comment on the matter, though its CEO Zhang Hui said in May 2019 that the firm was “not in a rush” to go public.
Manbang said it achieved profitability this year. Its valuation was reportedly on course to reach $10 billion in 2018.
The company, which runs an app matching truck drivers and merchants transporting cargo and provides financial services to truckers, was formed from a merger between rivals Yunmanman and Huochebang in 2017. It was a time when China’s “sharing economy” craze began to see consolidation and shakeup.
The latest financing again attracted high-profile backers, including returning investors SoftBank Vision Fund and Sequoia Capital China, Permira and Fidelity, a consortium that co-led the round. Other participants were Hillhouse Capital, GGV Capital, Lightspeed China Partners, Tencent, Jack Ma’s YF Capital and more.
The company has other Alibaba ties. Its CEO Zhang, who founded Yunmanman, hailed from Alibaba’s famed B2B department where Manbang chairman Wang Gang also worked before he went on to fund ride-hailing giant Didi’s angel round.
Manbang claims its platform has more than 10 million verified drivers and 5 million cargo owners. The latest funding will allow it to further invest in research and development, upgrade its matching system and expand its service capacity to functions like door-to-door transportation.
Sequoia is quite bullish about truck-hailing as it made its sixth investment in Manbang. For Permira, a European private equity fund, the Manbang investment marked the China debut of its Growth Opportunities Fund.
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Plenty Unlimited has raised $140 million in new funding to build more vertical farms around the U.S.
The new funding, which brings the company’s total cash haul to an abundant $500 million, was led by existing investor SoftBank Vision Fund and included the berry farming giant Driscoll’s. It’s a move that will give Driscoll’s exposure to Plenty’s technology for growing and harvesting fruits and vegetables indoors.
The funding comes as Plenty has inked agreements with both its new berry-interested investor and the Albertsons grocery chain. The company also announced plans to build a new farm in Compton, California.
The financing provides plenty of cash for a company that’s seeing a cornucopia of competition in the tech-enabled cultivated crop market raising a plethora of private and public capital.
In the past month, AppHarvest has agreed to be taken public by a special purpose acquisition company in a deal that would value that greenhouse tomato-grower at a little under $1 billion. And another leafy green grower, Revol Greens, has raised $68 million for its own greenhouse-based bid to be part of the new green revolution.
Meanwhile, Plenty’s more direct competitor, Bowery Farming, is expanding its retail footprint to 650 stores, even as Plenty touts its deal with Albertsons to provide greens to 431 stores in California.
Discoll’s seemed convinced by Plenty’s technology, although the terms of the agreement with the company weren’t disclosed.
“We looked at other vertical farms, and Plenty’s technology was one of the most compelling systems we’d seen for growing berries,” said J. Miles Reiter, Driscoll’s chairman and CEO, in a statement. “We got to know Plenty while working on a joint development agreement to grow strawberries. We were so impressed with their technology, we decided to invest.”
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After announcing a modest $28 million raise earlier this year, the user-generated gamified e-learning platform Kahoot today announced a much bigger round to double down on the current surge in demand for remote education.
The Norwegian startup — which has clocked 1.3 billion “participating players” in the last 12 months — has picked up $215 million from SoftBank, specifically by way of a “private placement to a subsidiary of SoftBank Group Corp., through issuance of 43,000,000 new shares.” The placement was made at 46 Norwegian Krone per share, working out to NOK1,978 million (or $215 million), and the funding will be used for acquisitions and also to continue its expansion.
Kahoot is traded on the Merkur Market in Oslo — a stepping stone between being a fully private startup and a publicly listed company — and today the company is trading more than 15% up on the news. At market open today, it was valued at NOK22.2 billion, or about $2.4 billion — so by the end of the day that market cap is likely to have gone up as a result of today’s investment.
“Kahoot! is experiencing strong momentum and accelerated adoption as enterprises increasingly seek engaging, trustworthy and user-friendly ways to build corporate culture, educate and interact,” the company noted in a statement. “At the same time, schools and educators are looking to enhance the learning experience, whether virtually or in the classroom. The Company intends to use the net proceeds from the Private Placement to finance accelerated growth through value-creating non-organic opportunities and continue to build a unique platform company.”
We are reaching out to SoftBank for a direct comment on the news — which was announced by Kahoot in the briefest of terms necessary for disclosure as a publicly traded company — and will update as we learn more.
Update: A spokesperson said SoftBank declined to provide further comment.
SoftBank has had a long track record with investing in both gaming and online education, backing the likes of Supercell (another European gaming hit startup, now majority owned by Tencent), and most recently Unacademy, an e-learning startup in India.
Indeed, the company has been one of the more prolific investors in the startup world, both from SoftBank Group as well as via its Vision Fund and other related VC funds that it has set up.
Not all of those investments have been great: The company has come under fire for sinking hundreds of millions into growth rounds for buzzy startups that hemorrhaged cash and failed to turn a profit — OYO, WeWork and Uber being prime examples — and in some cases appeared to be run in a way that didn’t indicate that they would turn things around anytime soon. The takeaway message for some was that SoftBank, once a gold standard in investing, felt hasty and poorly managed itself.
But despite that, it has continued to remain very active, and the head of the Vision Fund, Rajeev Misra, recently highlighted e-learning as one of the three areas it’s focusing on for investments at the moment, in light of COVID-19.
Kahoot, meanwhile, has been building a two-pronged business: first, a platform aimed at school children to build and use, and browse and use others’ online learning content; and second, a platform where corporates can build, use, and use others’ corporate training materials. The former puts an emphasis on free usage, while the latter is a paid product.
In both cases, Kahoot’s content is built around the idea of gamification — learning designed as games — to make the process more fun and engaging. It has described itself as the “Netflix of Education” — but I think of it a little more like YouTube, because of the user-generated element of a lot of the material.
Kahoot has been successful in its model so far. It says that it has had 1.3 billion participating players, with 200 million games played and 100 million user-generated Kahoots, in the last 12 months.
As a point of comparison, last month, when it announced an acquisition to boost its corporate learning business — it bought an enterprise engagement platform called Actimo for about $33 million — it said that it had counted some 1 billion “participating players,” on top of some 4.4 billion users, since first launching the platform in 2013.
In its Q3 earnings released earlier this month, the company said it posted invoiced revenue of $11.6 million, up 240% increase on the same quarter a year earlier. It posted $5.2 million in positive cash flow from operations, compared to $-0.6 million in Q3 2019, and had 360,000 paid subscriptions, up 160% on the year earlier.
SoftBank is not the company’s first high-profile investor. Other backers in the company include Microsoft and Disney, as well as the well-known regional VCs Northzone and Creandum. The company tells me it has now raised a total of $325 million (based on current exchange rates).
Online education has been on a slow incline for years, as schools and students turn to the internet to supplement and in some cases replace teaching in physical classrooms, tapping into infrastructure that has further reach, in some cases (like higher education) costs less and is popular with students.
But, as with some other areas of tech, 2020 has seen that trend accelerate drastically as many schools have reduced teaching or shut down altogether in an effort to curtail the spread of the novel coronavirus that leads to COVID-19.
That has led to a huge boost of activity — sometimes quite urgent and not as a choice but a necessity — and investor attention in the last year for e-learning startups. Others announcing funding in the last couple of months have included Outschool (which raised $45 million and is now profitable), Homer (raised $50 million from an impressive group of strategic backers), Unacademy (raised $150 million) and the juggernaut that is Byju’s (most recently picking up $500 million from Silver Lake).
Alongside e-learning, gaming companies have been one of the categories of tech that have had a windfall of sorts this year by providing content to divert and occupy people as some normal activities have been curtailed because of the global health pandemic. Just yesterday the gaming giant Roblox, last valued at $4 billion, announced that it had quietly filed to go public.
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As Nvidia continues to work through its deal to acquire Arm from SoftBank for $40 billion, the computing giant is making another big move to lay out its commitment to investing in U.K. technology. Today the company announced plans to develop Cambridge-1, a new £40 million AI supercomputer that will be used for research in the health industry in the country, the first supercomputer built by Nvidia specifically for external research access, it said.
Nvidia said it is already working with GSK, AstraZeneca, London hospitals Guy’s and St Thomas’ NHS Foundation Trust, King’s College London and Oxford Nanopore to use the Cambridge-1. The supercomputer is due to come online by the end of the year and will be the company’s second supercomputer in the country. The first is already in development at the company’s AI Center of Excellence in Cambridge, and the plan is to add more supercomputers over time.
The growing role of AI has underscored an interesting crossroads in medical research. On one hand, leading researchers all acknowledge the role it will be playing in their work. On the other, none of them (nor their institutions) have the resources to meet that demand on their own. That’s driving them all to get involved much more deeply with big tech companies like Google, Microsoft and, in this case, Nvidia, to carry out work.
Alongside the supercomputer news, Nvidia is making a second announcement in the area of healthcare in the U.K.: it has inked a partnership with GSK, which has established an AI hub in London, to build AI-based computational processes that will be used in drug vaccine and discovery — an especially timely piece of news, given that we are in a global health pandemic and all drug makers and researchers are on the hunt to understand more about, and build vaccines for, COVID-19.
The news is coinciding with Nvidia’s industry event, the GPU Technology Conference.
“Tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the capabilities of AI,” said Jensen Huang, founder and CEO of Nvidia, in his keynote at the event. “The Cambridge-1 supercomputer will serve as a hub of innovation for the U.K., and further the groundbreaking work being done by the nation’s researchers in critical healthcare and drug discovery.”
The company plans to dedicate Cambridge-1 resources in four areas, it said: industry research, in particular joint research on projects that exceed the resources of any single institution; university granted compute time; health-focused AI startups; and education for future AI practitioners. It’s already building specific applications in areas, like the drug discovery work it’s doing with GSK, that will be run on the machine.
The Cambridge-1 will be built on Nvidia’s DGX SuperPOD system, which can process 400 petaflops of AI performance and 8 petaflops of Linpack performance. Nvidia said this will rank it as the 29th fastest supercomputer in the world.
“Number 29” doesn’t sound very groundbreaking, but there are other reasons why the announcement is significant.
For starters, it underscores how the supercomputing market — while still not a mass-market enterprise — is increasingly developing more focus around specific areas of research and industries. In this case, it underscores how health research has become more complex, and how applications of artificial intelligence have both spurred that complexity but, in the case of building stronger computing power, also provides a better route — some might say one of the only viable routes in the most complex of cases — to medical breakthroughs and discoveries.
It’s also notable that the effort is being forged in the U.K. Nvidia’s deal to buy Arm has seen some resistance in the market — with one group leading a campaign to stop the sale and take Arm independent — but this latest announcement underscores that the company is already involved pretty deeply in the U.K. market, bolstering Nvidia’s case to double down even further. (Yes, chip reference designs and building supercomputers are different enterprises, but the argument for Nvidia is one of commitment and presence.)
“AI and machine learning are like a new microscope that will help scientists to see things that they couldn’t see otherwise,” said Dr. Hal Barron, chief scientific officer and president, R&D, GSK, in a statement. “NVIDIA’s investment in computing, combined with the power of deep learning, will enable solutions to some of the life sciences industry’s greatest challenges and help us continue to deliver transformational medicines and vaccines to patients. Together with GSK’s new AI lab in London, I am delighted that these advanced technologies will now be available to help the U.K.’s outstanding scientists.”
“The use of big data, supercomputing and artificial intelligence have the potential to transform research and development; from target identification through clinical research and all the way to the launch of new medicines,” added James Weatherall, PhD, head of Data Science and AI, AstraZeneca, in his statement.
“Recent advances in AI have seen increasingly powerful models being used for complex tasks such as image recognition and natural language understanding,” said Sebastien Ourselin, head, School of Biomedical Engineering & Imaging Sciences at King’s College London. “These models have achieved previously unimaginable performance by using an unprecedented scale of computational power, amassing millions of GPU hours per model. Through this partnership, for the first time, such a scale of computational power will be available to healthcare research – it will be truly transformational for patient health and treatment pathways.”
Dr. Ian Abbs, chief executive & chief medical director of Guy’s and St Thomas’ NHS Foundation Trust Officer, said: “If AI is to be deployed at scale for patient care, then accuracy, robustness and safety are of paramount importance. We need to ensure AI researchers have access to the largest and most comprehensive datasets that the NHS has to offer, our clinical expertise, and the required computational infrastructure to make sense of the data. This approach is not only necessary, but also the only ethical way to deliver AI in healthcare – more advanced AI means better care for our patients.”
“Compact AI has enabled real-time sequencing in the palm of your hand, and AI supercomputers are enabling new scientific discoveries in large-scale genomic data sets,” added Gordon Sanghera, CEO, Oxford Nanopore Technologies. “These complementary innovations in data analysis support a wealth of impactful science in the U.K., and critically, support our goal of bringing genomic analysis to anyone, anywhere.”
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A group of U.K.-based VCs have come together to create a new virtual pitching event designed to address the problems with the current startup ecosystem that can lead to inequalities and “warm intros” made only between privileged classes and ethnicities.
Held on the 30th of September, “Access All” will be a new virtual event geared toward founders from underrepresented groups.
Participating founders will be invited to pitch their startups to a number of London’s leading VCs and companies, including Downing Ventures, Playfair Capital, SpeedInvest and SoftBank, as well as Microsoft, Amazon, Accenture and O2.
The joint initiative has been put together by Floww, Force Over Mass and Wayra UK, with the mission to create more opportunity for BAME founders, based on merit, reducing bias and addressing the problems of the “the old boys network” of venture capital deal flow.
According to some figures, startups with all-male founding teams raise 91% of the venture capital in the U.K., but the stats around ethnic minority founders are harder to find. In the U.S. for example, 0.02% of venture capital is allocated to Black female founders.
Martijn de Wever, CEO and founder of Floww, which is coordinating the event, said: “With Access All, we rallied together in the startup community because we believe that the system needs change. Black, Asian and other ethnic minority founders, need to have fair access.”
Floww’s team of accountants and content writers will work with applicants for free to review their business plans and get them ready to pitch to the participating investors. TechCrunch and Forbes journalists will be joining the panel as judges.
Founders can register here.
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Primary care health tech startup Carbon Health has added a new element to its “omnichannel” healthcare approach with the launch of a new pop-up clinic model that is already live in San Francisco, LA, Seattle, Brooklyn and Manhattan, with Detroit to follow soon – and that will be rolling out over the next weeks and months across a variety of major markets in the U.S., ultimately resulting in 100 new COVID-19 testing sites that will add testing capacity on the order of around an additional 100,000 patients per month across the country.
So far, Carbon Health has focused its COVID-19 efforts around its existing facilities in the Bay Area, and also around pop-up testing sites set up in and around San Francisco through collaboration with genomics startup Color, and municipal authorities. Now, Carbon Health CEO and co-founder Even Bali tells me in an interview that the company believes the time is right for it to take what it has learned and apply that on a more national scale, with a model that allows for flexible and rapid deployment. In fact, Bali says the they realized and began working towards this goal as early as March.
“We started working on COVID response as early as February, because we were seeing patients who are literally coming from Wuhan, China to our clinics,” Bali said. “We expected the pandemic to hit any time. And partially because of the failure of federal government control, we decided to do everything we can to be able to help out with certain things.”
That began with things that Carbon could do locally, more close to home in its existing footprint. But it was obvious early on to Bali and his team that there would be a need to scale efforts more broadly. To do that, Carbon was able to draw on its early experience.
“We have been doing on-site, we have been going to nursing homes, we have been working with companies to help them reopen,” he told me. “At this point, I think we’ve done more than 200,000 COVID tests by ourselves. And I think I do more than half of all the Bay Area, if you include that the San Francisco City initiative is also partly powered by Carbon Health, so we’re already trying to scale as much as possible, but at some point we were hitting some physical space limits, and had the idea back in March to scale with more pop-up, more mobile clinics that you can actually put up like faster than a physical location.”
Interior of one of Carbon Health’s COVID-19 testing pop-up clinics in Brooklyn.
To this end, Carbon Health also began using a mobile trailer that would travel from town to town in order to provide testing to communities that weren’t typically well-served. That ended up being a kind of prototype of this model, which employs construction trailers like you’d see at a new condo under development acting as a foreman’s office, but refurbished and equipped with everything needed for on-site COVID testing run by medical professionals. These, too, are a more temporary solution, as Carbon Health is working with a manufacturing company to create a more fit-for-purpose custom design that can be manufactured at scale to help them ramp deployment of these even faster.
Carbon Health is partnering with Reef Technologies, a SoftBank -backed startup that turns parking garage spots into locations for businesses, including foodservice, fulfilment, and now Carbon’s medical clinics. This has helped immensely with the complications of local permitting and real estate regulations, Bali says. That means that Carbon Health’s pop-up clinics can bypass a lot of the red tape that slows the process of opening more traditional, permanent locations.
While cost is one advantage of using this model, Bali says that actually it’s not nearly as inexpensive as you might think relative to opening a more traditional clinic – at least until their custom manufacturing and economies of scale kick in. But speed is the big advantage, and that’s what is helping Carbon Health look ahead from this particular moment, to how these might be used either post-pandemic, or during the eventual vaccine distribution phase of the COVID crisis. Bali points out that any approved vaccine will need administration to patients, which will require as much, if not more infrastructure than testing.
Exterior of one of Carbon Health’s COVID-19 testing pop-up clinics in Brooklyn.
Meanwhile, Carbon Health’s pop-up model could bridge the gap between traditional primary care and telehealth, for ongoing care needs unrelated to COVID.
“A lot of the problems that telemedicine is not a good solution for, are the things where a video check-in with a doctor is nearly enough, but you do need some diagnostic tests – maybe you might you may need some administration, or you may need like a really simple physical examination that nursing staff can do with the instructions of the doctor. So if you think about those cases, pretty much 90% of all visits can actually be done with a doctor on video, and nursing staff in person.”
COVID testing is an imminent, important need nationwide – and COVID vaccine administration will hopefully soon replace it, with just as much urgency. But even after the pandemic has passed, healthcare in general will change dramatically, and Carbon Health’s model could be a more permanent and scalable way to address the needs of distributed care everywhere.
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As expected, BigCommerce has filed to go public. The Austin, Texas, based e-commerce company raised over $200 million while private. The company’s IPO filing lists a $100 million placeholder figure for its IPO raise, giving us directional indication that this IPO will be in the lower, and not upper, nine-figure range.
BigCommerce, similar to public market darling Shopify, provides e-commerce services to merchants. Given how enamored public investors are with its Canadian rival, the timing of BigCommerce’s debut is utterly unsurprising and is prima facie intelligent.
Of course, we’ll know more when it prices. Today, however, the timing appears fortuitous.
BigCommerce is a SaaS business, meaning that it sells a digital service for a recurring payment. For more on how it derives revenue from customers, head here. For our purposes what matters is that public investors will classify it along with a very popular — today’s trading notwithstanding — market segment.
Starting with broad strokes, here’s how the company performed in 2019 compared to 2018, and Q1 2020 in contrast to Q1 2019:
BigCommerce didn’t grow too quickly in 2019, but its Q1 2020 expansion pace is much better. BigCommerce will file an S-1/A with more information in Q2 2020, we expect; it can’t go public without sharing more about its recent financial performance.
If the company’s revenue growth acceleration continues in the most recent period — bearing in mind that e-commerce as a segment has proven attractive to many businesses during the COVID-19 pandemic — BigCommerce’s IPO timing would appear even more intelligent than it did at first blush. Investors love growth acceleration.
Moving from revenue growth to revenue quality, BigCommerce’s Q1 2020 gross margins came in at 77.5%, a solid SaaS result. In Q1 2019 its gross margin was 76.8%, a slightly worse figure. Still, improving gross margins are popular as they indicate that future cash flows will grow at a faster clip than revenues, all else held equal.
In 2018 BigCommerce lost $38.9 million on a GAAP basis. Its net loss expanded modestly to $42.6 million in 2020, a larger dollar figure in gross terms, but a slimmer percent of its yearly top line. You can read those results however you’d like. In Q1 2020, however, things got better, as the company’s GAAP net loss fell to $4 million from its year-ago Q1 result of $10.5 million.
The BigCommerce big commerce business is growing more slowly than I had anticipated, but its overall operational health is better than I expected.
A few other notes, before we tear deeper into its S-1 filing tomorrow morning. BigCommerce’s adjusted EBITDA, a metric that gives a distorted, partial view of a company’s profitability, improved along similar lines to its net income, falling from -$9.2 million in Q1 2019 to -$5.7 million in Q1 2020.
The company’s cash flow is, akin to its adjusted EBITDA, worse than its net loss figures would have you guess. BigCommerce’s operating activities consumed $10 million in Q1 2020, an improvement from its Q1 2019 operating cash burn of $11.1 million.
The company is further in debt than many SaaS companies, but not so far as to be a problem. BigCommerce’s long-term debt, net of its current portion, was just over $69 million at the end of Q1 2020. It’s not a nice figure, per se, but it is one small enough that a good IPO haul could sharply reduce while still providing good amounts of working capital for the business.
Investors listed in its IPO document include Revolution, General Catalyst, GGV Capital, and SoftBank.
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Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines.
First, a big thanks to everyone who took part in the Equity survey, we really appreciated your notes and thoughts. The crew is chewing over what you said, and we’ll roll up the best feedback into show tweaks in the future.
Today, though, we’ve got Danny and Natasha and Chris and Alex back again for our regular news dive. This week we had to leave the Vroom IPO filing, Danny’s group project on The Future of Work and a handwashing startup (?) from Natasha to get to the very biggest stories:
And at the end, we got Danny to explain what the flying frack is going on over at Luckin. It’s somewhere between tragedy and farce, we reckon. That’s it for today, more Tuesday after the holiday!
Equity drops every Friday at 6:00 am PT, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts.
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Amidst the blitz of SoftBank earnings news today comes the financials for all of SoftBank’s subsidiaries, which includes Arm Holdings, the most important chip design and research company in the world that SoftBank bought for $32 billion back in 2016. Arm produces almost all of the key designs for the chips that run today’s smartphones, including Apple’s A13 Bionic chip that powers its flagship iPhone. In all, 22.8 billion chips were shipped globally last year using Arm licenses according to SoftBank’s financials.
It’s a massively important company, and its finances show a complicated picture for itself — and the semiconductor industry at large.
We sat down with Arm Holding’s CEO Simon Segars last year to discuss the company’s growing appetite for ambitious research, fueled by SoftBank dollars and the bullish vision of the conglomerate’s chairman Masayoshi Son:
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Hello and welcome back to our regular morning look at private companies, public markets and the gray space in between.
Today we’re digging into SoftBank’s latest earnings slides. Not only do they contain a wealth of updates and other useful information, but some of them are gosh-darn-freaking hilarious. We all deserve a bit of levity after the last few months.
The visual elements we quote below come from SoftBank’s reporting of its own results from its fiscal year ending March 31, 2020. Much of the deck is made up of financial reporting tables and other bits of stuff you don’t want to read. We’ve cut all that out and left the fun parts.
Before we dive in, please note that we are largely giggling at some slide design choices and only somewhat at the results themselves. We are certainly not making fun of people who’ve been impacted by layoffs and other such things that these slides’ results encompass.
But we are going to have some fun with how SoftBank describes how it views the world, because how can we not? Let’s begin.
TechCrunch has a number of folks parsing SoftBank’s deck this morning, looking to do serious work. That’s not our goal. Sure, this post will tell you things like the fact that there are 88 companies in the Vision Fund portfolio, and that when it comes to unrealized gains and losses, the portfolio has seen $13.4 billion in gains and $14.2 billion in losses. $4.9 billion of gains have been realized, mind you, while just $200 million of losses have had the same honor.
And this post will tell you that the “net blended [internal rate of return] for SoftBank Vision Fund investors is -1%.”
Hell, you probably also want to know that Uber was detailed as Vision Fund’s worst-performing public company, generating a $1.46 billion loss for the group. In contrast, Guardant Health is good for a $1.67 billion gain, while 2019 IPO Slack has been good for $605 million in profits. Those were the two best companies in the Vision Fund’s public portfolio.
But what you really want is the good stuff. So, shared by slide number, here you go:

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