Startups

Unpacking the UBS-Wealthfront deal

Comment

Illustration of a woman on a laptop with dollars around her to represent investing in women startup founders.
Image Credits: Overearth (opens in a new window) / Getty Images

Banking giant UBS announced earlier today that it will purchase venture-backed robo-advisor Wealthfront in an all-cash transaction worth $1.4 billion.

Wealthfront, which raised just north of $200 million while private, per Crunchbase data, is one of a few wealth management services that grew on the back of offering automatic investing tools to consumers. Betterment ($435 million in funding, per Crunchbase) and Personal Capital ($265 million in raised capital, according to the same data source) are other related plays.

Wealthfront raises $75 million to help millennials invest

The $1.4 billion price tag for the UBS-Wealthfront deal matters, then, as it could impact the exit values for not only other startups, but also hundreds of millions of dollars worth of invested venture capital.

It’s hard to say with complete confidence whether the sale price Wealthfront managed to command was a strong win for its backers. PitchBook data estimates that the company was worth $700 million in 2014 and $500 million in late 2017 when it raised its last known round of capital, a $75 million sum.

At those prices, the company’s exit price is a win in that it represents a 2x or greater multiple on its final private valuations. But its exit value is also parsable from a number of alternative perspectives: AUM, customers and revenue. We’ll explore each briefly to get a better grip on how the company was valued in its sale, and what UBS is getting out of the deal.

AUM, customers, and revenue

In its release, UBS said that Wealthfront has “over $27 billion in assets under management,” or AUM. That means that UBS is paying around 5 cents per dollar in AUM at the company. Is that a lot?

Yes and no. Recall that M1 Finance, a related consumer-facing fintech that had an explosive period of AUM expansion during the COVID-19 pandemic’s first few years, has a long-term target of accruing a 1% take-rate for funds that it manages. That means that each $1 billion in AUM at M1 is earmarked by the company to generate $10 million in revenue per year, if its model works out as intended.

Wealthfront, in contrast, charges a 0.25% fee for managed assets, or around a fourth of what M1 is targeting. Before angry emails come in, I am not saying that M1 costs four times as much as Wealthfront; instead, the former was polite enough to share its revenue targets, which we are somewhat unfairly comparing to Wealthfront’s complete pricing model, which is concrete and public. So, we’re apples::oranges here on purpose.

Why compare and contrast the two companies? Because at a slimmer revenue base per dollar of AUM, Wealthfront likely generates annual revenue of around $67.5 million. If the company took more as a cut of consumer funds — such as M1 hopes to generate from an array of services — it would enjoy a much larger revenue base. Not all AUM is equal, in other words, so our AUM value calculation is useful in terms of comparing Wealthfront’s exit to other robo-advisors, but perhaps not much more than that.

Revenue is a more durable thing to lean on. At $1.4 billion in AUM and a presumed run rate of around $67 million, Wealthfront is being sold for around 21x its current yearly revenue base. That’s a SaaS-style multiple, which I did not anticipate companies in this cohort could command (given presumably lower gross margins and less net-dollar retention than what B2B software companies can command as a general rule). So, the company’s exit price feels strong from a revenue perspective, tricky AUM math aside.

Finally, customers. Wealthfront has, per UBS, “470,000 clients in the U.S.” UBS is therefore buying nearly a half-million customers for $1.4 billion, or around $3,000 each. By itself, that sounds expensive, but with the continuing revenue results that Wealthfront is putting up, it may be a number that is not exorbitant.

Given that the robo-advisor boom was some time ago, the overall exit picture for Wealthfront seems pretty solid. I think a $1 billion price tag would have been just fine, while anything too much greater would have veered into the realm of the expensive.

Related companies — the M1s, Personal Capitals and the like — now have some exit multiples to apply to their own AUM, revenue and customer bases. Let’s see if this deal shakes loose a few more.

More TechCrunch

Meta’s newest social network, Threads is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months. Instagram head Adam Mosseri noted that the company…

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost