BArron's : Microsoft, Broadcom, Lilly, and Other Stocks That Meet This Pro’s Def

Microsoft, Broadcom, Lilly, and Other Stocks That Meet This Pro’s Definition of ‘Quality’
Tom Hancock, a portfolio manager at GMO, favors companies that consistently earn a high return on capital and reinvest in the

Key Points
  • GMO’s Tom Hancock manages funds that have consistently outperformed the S&P 500, with the GMO Quality III mutual fund returning 15.6% annually over the past decade.
  • Hancock’s strategy involves significant allocations to technology, with 41% of assets in the sector, and contrarian bets in healthcare and consumer staples.
  • The fund prioritizes companies with sustainable high returns on capital, seeking quality at a reasonable price, and avoids overvalued ‘great’ companies.

This hasn’t been a great market for so-called quality stocks, typically defined as blue chips with steady profits and low debt. That makes it all the more impressive that funds run by GMO’s Tom Hancock have consistently outperformed not just other “quality” portfolios but the broad market, too.

The $12 billion GMO Quality III mutual fund returned 15.6% annually over the past decade, compared with 14.4% for the S&P 500 index. The $3 billion GMO U.S. Quality exchange-traded fund doesn’t have as long a record, as the ETF launched in November 2023. But it has outpaced the index so far in 2025. Hancock oversees both funds with co-managers Anthony Hene and Ty Cobb.

Hancock’s team has succeeded, in part, by making bold calls. The team’s mutual fund has about 41% of its assets invested in technology, compared with 33% for the S&P 500. But Hancock isn’t just a trend follower. The fund has also made contrarian bets on out-of-fashion sectors such as healthcare and consumer staples.

Hancock recently talked with Barron’s about where he sees the biggest opportunities in today’s market. An edited version of the conversation follows.

Barron’s: Quality is often in the eye of the beholder. How do you define it?

Tom Hancock: What we’re trying to get at with quality is companies that can earn a high return on capital sustainably, and reinvest in the business. GMO in its early days was built around value managers. They were looking for low price-to-book-type stocks.


The idea of quality came from asking, what are the characteristics that make a stock trade at a premium multiple? We want to pay up for stocks that deserve it. That said, we still look for quality at a reasonable price. We are trying to avoid great companies that everyone knows are great and thus trade at superhigh multiples. Those don’t give us high returns.

GMO has a reputation not just for value, but also for bearishness. Co-founder Jerermy Grantham, in particular, is known for saying for years that the stock market is overvalued. Do you feel the same way?

That is the GMO brand for people who know the firm casually. They think of us as bearish. They sometimes think of us as quantitative, and strongly value-oriented. None of those descriptions quite applies.

I am not as bearish on the U.S. market right now as Jeremy or his successors, such as Ben Inker [GMO’s co-head of asset allocation and a portfolio manager]. We don’t have a chief investment officer at GMO. We operate as a bunch of different boutiques that sometimes have views that are different from one another.

A lot of people talk about market multiples, or the market’s price/earnings ratio, being nearly as high as it has ever been—as high as the tech bubble, or variants of that. A lot of that talk ignores the changing composition of the U.S. stock market. Many stocks aren’t trading at superhigh multiples. It’s just that there are a lot more high-quality growth stocks in the market than there were 20 or 30 years ago, so the overall market should trade at a higher multiple than it once did. I don’t think the valuation is insane.

You have a much higher weighting in tech stocks than the S&P 500, which has driven some of your recent strong returns. To put you on the spot, are we going to have an AI crash?

If you close your eyes and wake up in 10 years, AI will turn out to have been a good place to invest. At the same time, I’d be surprised if we don’t get some kind of significant downturn in AI-related stocks. Crash is a strong word. But I don’t have any great view about when that will be.

If you don’t invest in AI just because there might be a crash in the next five years, you run the risk that stocks will double before they pull back, say, 30%, and you will have missed the doubling. So, I’d rather be involved, as long as we’re buying stocks that can survive the pullback.

If you look at which AI stocks we own, they’re the ones we believe are safer. They have more-diversified businesses. They don’t have financial leverage. We sold our Oracle shares, which we had held for more than a decade, [due to] the kind of debt the company has taken on. [Oracle recently borrowed $18 billion to expand its AI infrastructure after agreeing to provide computer power to OpenAI.]

Even if Oracle’s revenue is guaranteed verbally by OpenAI, OpenAI is writing checks on which it doesn’t have the money to pay right now. Even if OpenAI’s technology is great, there is an existential risk to the company.

Your top holding now is Microsoft. Why do you favor the company?

Tech is part of the reason why we have outperformed our quality peers. At the same time, our tech holdings are less volatile than the tech you will find in an index. We own the tech stocks that are most defensive in terms of diversified revenue and customer lock-in—like Microsoft.

Microsoft is an AI beneficiary but gets a lot of revenue from other things. It has been relatively conservative about its capital spending. If there is a pullback on AI, it isn’t going to be great for Microsoft. The stock will go down, but it will go down less than some of its peers, and the company won’t be impaired in any long-term way as a business.

Other tech stocks we own include Lam Research and Broadcom. These are more high beta. They tend to be our best or worst performers on any given day, but both companies have a lot of diversification beyond AI. We don’t own Nvidia, in some ways a competitor to Broadcom.

Broadcom specializes in custom chips; it makes chips for a handful of the biggest companies, such as Google. Those big companies have already figured out a way to monetize AI. They use AI for search and to deliver content for YouTube. These are proven use cases.

I would contrast that with Nvidia, which will probably be great in the long run. But right now, everyone in the world is trying something with AI. They are just throwing stuff against the wall, and using generic chips from Nvidia. That’s a lot more risky than having the hyperscalers as your customers, which Broadcom has.

Your other big bet is on healthcare, not a standout sector this year. What is the attraction?

We see healthcare spending growing faster than gross domestic product. Sometimes, people show us charts with healthcare spending rising as a percentage of GDP, and that looks unsustainable, but we think it is sustainable. We are a rich country, and it is a richer and richer world. We are getting older, and there is a lot of innovation in healthcare. And it isn’t like we are paying more for the same things. We have cancer treatments and GLP-1s and Covid vaccines and all these things we didn’t have 10 years ago.

At the same time, thanks in part to Covid, there has been a lot of short-term disruption, and this is still working itself out. The area where we are exposed—the area with maybe the biggest profitability issues right now—is health insurance. We own three of the stocks in that group: UnitedHealth Group, Elevance Health, and Cigna.

What has hurt profitability?

One example of what happened relates to Medicaid, the government program to cover lower-income people. During Covid, eligibility was expanded to meet the state of emergency. Usually, there is an income-verification process to make sure you’re eligible. That was suspended, so the number of people on Medicaid expanded, which was good.

After Covid ended, the verification resumed. Most people who had jobs were no longer eligible, so membership went down. The people who were ineligible were healthier, and they hadn’t been using the benefits as much, so they were cheaper for the system to cover. When those people left the system, the Medicaid population shrank and the cost of insuring the people who remained increased. This will correct itself. The states that administer Medicare reimburse the insurance companies, but there is a catch-up phase.

You also own drug companies such as Eli Lilly, Johnson & Johnson, and Merck. What is the outlook for pharma?

Large-cap pharma is an interesting area. Investors tend to be very negative about it because they always see patent cliffs. Any patented drug will go off patent at some point. That is true of almost any patented product in any industry—patent protection doesn’t last forever. But it is so much more explicit in pharma, so people focus on it.

At the same time, many pharma companies have been around a long time. They have a proven ability to reinvent themselves. They engage in research and development, and acquire it, too. In many cases, you need to be a big pharma company to get treatments through the regulatory approval process, which is complicated. A small biotech coming out of a university can invent a new drug, but often can’t commercialize it. You need large-cap pharma.

Eli Lilly has created blockbuster GLP-1 drugs [diabetes and weight-loss treatments] and made a lot of money on them. Prices are coming down, and the traditional pharma investor will see that as a bad sign. But GLP-1s are also more of a consumer product, a traditional “revenue equals price times volume” product. If we lower the price, we can increase the volume. This is a rational economic tradeoff. People are reacting because they see that prices have started to come down, but they are underestimating just how big this market can be.

Johnson & Johnson and Merck don’t have that kind of exciting growth engine right now. Some of their patents are slated to expire. There is a line of sight to the expiration of Merck’s patent on Keytruda, its big cancer drug. Earnings will probably fall when that happens. But that is OK if the stock is cheap enough relative to expected earnings, and we think that is the case. [Merck is trading for 11 times next year’s expected earnings of $8.82 share.]

J&J’s immunology drug Stelara went off patent earlier this year, but the company is highly diversified. It’s showing an ability to grow even through a meaningful patent cliff. The patent fear is overdone.

Consumer-goods companies have also struggled. Do you see bargains in the sector?

The U.S. consumer, a longtime source of strength for these companies, has had a tough time lately, particularly lower-income households. We are a little more picky in the category, because we want to find companies where there is still a certain amount of growth.


Going back to GLP-1s, they have curbed the public’s appetite for some snack foods. We like Coca-Cola better than PepsiCo, which gets about half of its revenue from salty snacks. We expect the beverage category to be stronger than the food category, and think Coke can expect reasonably good growth.

One of our most contrarian positions is alcohol companies such as Constellation Brands, which makes Modelo and Corona beer. While alcohol hasn’t been a great category, those brands were doing well until about a year ago, when sales declined due to the Trump administration’s immigration crackdown.

People are developing narratives around changing behaviors, saying, among other things, that young people don’t drink anymore. In reality, these types of trends are much more tied to the economic cycle.

Your portfolio has no basic materials, real estate, energy, or utility stocks. Why are you skipping whole sectors of the stock market?

The way you beat a benchmark over time is to run a fund that doesn’t try to look like the benchmark. You try to find areas of the market that you think will be winners, and invest there. You don’t want to put all of your eggs in one basket, but as long as you have several baskets, you don’t need to have every single basket.

We focus on having a portfolio that might lag in rising markets, but won’t lose to the benchmark in down markets. We think that is what people who invest in a quality strategy are looking for.

Thanks, Tom.

Barron's : How Quantum Computing Could Put IBM Back on Top Again

How Quantum Computing Could Put IBM Back on Top Again
Big Blue has been working on the next-gen technology for decades, and now has major breakthroughs in its sights. We get a look behind the scenes.

Key Points
  • IBM’s Quantum System Two is its most advanced quantum computer, utilizing quantum mechanics for complex computations beyond conventional systems.
  • IBM has deployed 85 quantum systems to over 300 organizations, including 25 systems with more than 100 logical qubits, outpacing competitors like Google.
  • IBM aims for a fault-tolerant supercomputer, IBM Quantum Starling, by 2029, targeting 100 million quantum operations with 200 logical qubits.

Inside IBM’s main research center rises a maze of silver towers, each 22 feet tall. Through their vented flanks, you catch glimpses of blinking lights and the shadows of wires. The machine’s three-chambered heart—comprised of three processors, each no larger than a fingernail—is hidden from view.

Step closer and you hear the contraption appearing to breathe, a tinkling sound like wind chimes emanating from the cooling mechanism that keeps its innards colder than outer space. It’s the sound of the future.

This mysterious machine is the IBM Quantum System Two, the company’s most advanced quantum computer. Powerful systems like the System Two operate based on the principles of quantum mechanics, the science behind atoms, molecules, and subatomic particles. Quantum technology theoretically allows computers to do things beyond the reach of conventional digital computers, from rapidly processing vast swaths of data to simulating highly complex chemical reactions to tackling the most difficult of mathematical problems. In Japan, a recently installed Quantum System Two is modeling the electronic structure of chemical compounds found widely in nature, a utility that has broad applications in chemistry.

Investor interest in quantum computing has exploded over the past year. Soon after the United Nations dubbed 2025 the International Year of Quantum, Alphabet’s Google unit unveiled a dazzlingly fast quantum chip. Then the quantum pure plays took off. Stocks like Rigetti Computing, IonQ, and D-Wave Quantum went on wild rides, and some of the gains stuck. D-Wave is up 237% for the year, far outstripping a 22% gain for the tech-heavy Nasdaq Composite.

If the pure plays are the current belles of the ball, IBM could be the long-term keeper for investors.

Big Blue has been working on quantum technology for decades. It has shipped more quantum computers than any other company, and it now has major breakthroughs in its sights. Equally important, its array of other businesses—cloud computing, IT consulting, artificial intelligence, and various hardware and software products—provides valuable ballast that can keep the company on course even if quantum doesn’t pan out.

Eventually, quantum computers could supplement conventional computers to make processes such as drug discovery and materials design faster and easier. But, scientists say, large-scale commercialization may still be five or 10 years away. Any serious competitor has to be ready to go the distance. IBM looks ready.

“We want to be at the foundation of quantum computing,” Jay Gambetta, the head of IBM Research, tells Barron’s over the hum of the Quantum System Two. “We want to win.”

The Thomas J. Watson Research Center sits on a sprawling campus in Yorktown Heights, N.Y., some 40 miles from Manhattan. The center is the hub of IBM Research, the company’s research and development unit, and it is engaged in exploring emerging technologies such as artificial intelligence, semiconductors, and quantum computing. As a clear sign of quantum’s importance, the System Two sits at the heart of the center, partially surrounded by a glass wall.

Quantum technology, like quantum mechanics itself, is both complex and elusive. Digital computers operate on bits, with values of 0 or 1. Quantum computers work from quantum bits, or qubits, that can be 1, 0, or any value between those two. The manipulation of those qubits is challenging, but the end result is that the qubits can contain far more information on matters of uncertainty and probability than their digital counterparts.

Down a winding hallway at the center, researchers test quantum algorithms in a small lab that resembles a garage. An eyeball scan is required to enter, and no photographs are permitted. The room is full of quantum systems in various stages of assembly. Pieces of hardware are scattered about. Researchers quietly work away, fiddling with parts of the machine.

“Thanks to the culture that we have, the scientists are very passionate about what they do,” Gambetta says. “They happily disagree with me all the time.” Gambetta knows this culture well: He headed the quantum effort for six years before rising to IBM Research’s top post in August.

IBM has long put a premium on research, starting in 1911 with the founding of the Computing-Tabulating-Recording Company. That became International Business Machines in 1924 under the leadership of Thomas J. Watson Sr., the research center’s namesake. In time, the company’s three initials stood alone, a widely recognized symbol of technological innovation.

IBM has pivoted several times in its life span. In the 1940s, it shifted from mechanical accounting machines and punch-card systems to electronic, stored-program computers and mainframes. It was an early entrant in personal computers, but in 2005, facing slim profit margins and shrinking market share, it sold its PC division to China’s Lenovo. It began a major push into IT consulting in the 1990s.

Building the Computers of the Future
At the turn of the 21st century, IBM and Stanford University jointly demonstrated the first implementation of Shor’s Algorithm, a quantum algorithm that can factor large numbers into their prime components. That raised some big risks: The ability to execute the algorithm underpins the fears that quantum computers will be able to crack the encryption that has protected much of the world’s data for decades. But more broadly, the breakthrough proved that quantum computing is more than just theory. It was a massive milestone for the industry.

“We’ve had a long, proud history of mathematics here,” Gambetta says. “Think of algorithms as the foundation.”

IBM then began pushing quantum out of the lab and into the world. To date, the company has deployed 85 quantum systems, for use by more than 300 organizations, typically laboratories and educational institutions. That is up from last year’s tally of 75 deployments for 250 organizations.

The figures include both computers, which the company defines as systems with over 100 qubits, and devices with fewer than that amount. IBM has deployed 25 systems with more than 100 qubits. Google, perhaps IBM’s closest quantum rival, has deployed just two systems of that size.

IBM aims to lead on the quantum software front as well as in hardware. Gambetta says Qiskit, an open-source software stack for quantum computers that is based on the popular coding language Python, is one of its most popular offerings. At last check, Qiskit had been downloaded 13 million times and used to run over 3.8 trillion circuits on IBM Quantum systems.

Despite the progress, there are still plenty of puzzles for Gambetta’s team to solve. The biggest challenge for IBM and the industry is devising a quantum computer that can maintain normal operations even in the presence of errors, a concept known as fault tolerance. Today’s machines are too error-riddled for broad commercialization. The problem is in the qubits, whose quantum states are particularly sensitive to changes in the physical environment, meaning anything from electromagnetic fields to heat. That, in turn, causes computational errors.

It’s unrealistic to imagine a future where quantum machines are completely error-free, but creating a computer that can maintain normal operations even in the presence of these disturbances would be a big step forward. IBM looks to be making real progress: In October, IBM scientists showed how they could use relatively inexpensive classical hardware from Advanced Micro Devices to interpret the results of a quantum error-correction algorithm. IBM called it a step toward building “practical and realistic” hybrid systems.

What’s more, IBM has vowed to deliver a fault-tolerant supercomputer called IBM Quantum Starling by 2029. The company aims for the machine to be able to conduct 100 million quantum operations using 200 logical qubits, which IBM says will give Starling 20,000 times more processing power than today’s leading quantum systems. Starling will be built by connecting multiple, smaller chips, which lays the foundation for even larger scalable systems in the future.

“We’re really looking forward to them getting Starling out because the consensus in the industry is that it could cross a chasm in terms of usability,” says Melius Research analyst Ben Reitzes.

IBM is already looking beyond Starling—to a much larger system called Blue Jay. Scientists say quantum computers have to get larger to become more useful. Scaling, however, requires more qubits, and a higher number of qubits typically correlates with more errors, which gets back to the need for fault tolerance. IBM has resolved to overcome these obstacles and launch Blue Jay sometime after 2033.

In addition to making quantum computers larger, IBM is looking to connect them. In November, IBM and Cisco Systems announced a partnership to build a prototype for a quantum network. While classical computers routinely communicate by networks—the most basic being the internet—quantum computers don’t have this ability. Connectivity thus looms as another necessary milestone before commercialization.

Eventually, IBM’s quantum computing division “could be a company maker,” says Melius’ Reitzes. “Right now, it’s not big enough to matter, but it has the potential to be a multiple-billion-dollar business.” IBM, which booked $62.8 billion in revenue last year, hasn’t yet broken out its quantum revenue.

Since the industry is at such an early stage, it’s difficult to calculate just how big the revenue opportunity could be—not just for IBM, but as a whole. A widely cited McKinsey report released earlier this year forecasts industrywide sales of anywhere from $45 billion to $131 billion by 2040. Boston Consulting Group forecasts an even higher range, between $90 billion and $170 billion.

Morgan Stanley analyst Erik Woodring sees a $50 billion market by 2040 and expects IBM to capture about 20% of that. “In speaking with management, they feel relatively confident in that number,” Woodring says.

He thinks IBM’s history bodes well for its chances in quantum. “IBM has effectively exacted change across every major technology computing cycle over the last century,” Woodring explains. “You have a history of technology innovation—even if you aren’t the sustainable winner in those end markets, you can deliver a system that is clearly differentiated versus others.”

He likens IBM’s role in the quantum computing industry to that of Apple in smartphones. Apple has created what Woodring calls an “indestructible ecosystem” by controlling its own hardware, software, and services. IBM appears to be doing much the same in quantum. The 20% figure, which IBM declines to discuss, is similar to what Apple has managed to capture in the global smartphone market.

A lot still has to go right for IBM to fulfill its promise: fault tolerance, scaling, and all the challenges that come with creating a new industry. However, it isn’t a do-or-die proposition for IBM, Woodring points out. If the quantum division were to fall short of its targets, IBM’s other businesses would keep chugging along and help pick up the slack.

“If quantum ultimately faces some form of demise,” he adds, “it’s going to be hard for any company that’s involved, but IBM is in a much better position relative to a lot of the start-ups.”

For now, IBM’s quantum research is clearly benefiting from its parent’s deep pockets. The company spent some $7.5 billion on R&D last year, or 12% of total revenue. IBM doesn’t break out quantum’s share of that, but in all, it’s more than what Microsoft spent as a percentage of total revenue in its most recent fiscal year. The same goes for Nvidia, which diverted just 7.2% of total revenue to research.

The pure plays, for their part, are racing to get the technology to market to offset continued losses and keep their businesses moving ahead. Quantum Computing, for instance, posted just $384,000 in revenue in its third quarter, while operating expenses more than doubled to $10.5 million from the prior year.

While their stocks can see big jumps from enthusiasm for quantum, the pure plays also experience major drops. The volatility is evident in their beta, or volatility, numbers. With a beta of 2.54, IonQ’s price is more than twice as volatile as the market, which has a beta of 1. Rigetti has a beta of 2.12; D-Wave, 1.24.

IBM’s diversification helps keep IBM’s stock relatively stable. Its beta stands at 0.62, indicating that it’s less volatile than the market itself. And lately it has been showing real strength. After years as a laggard, the stock gained about 41% this year, thanks not only to advances in quantum but also strength in AI and the cloud. The rise has topped those of the three major indexes as well as IonQ, which has gained 30%.

The pure plays, of course, aren’t IBM’s only competitors. Alphabet, Amazon.com, and Microsoft all have quantum agendas. Even Nvidia has aspirations in the space, where it aims to contribute to the development of hybrid systems. IBM, for its part, won’t so much as name any of its rivals.

“I think there’s enough space for many winners, with the end goal of making sure that quantum is an industry,” Gambetta says. “If we don’t have people creating their own algorithms, creating their own technical services, creating their own software, I think this industry will fail.”

He may be right. But if one company does end up as No. 1, don’t be surprised if it’s IBM.

FT : Russia sues Euroclear over frozen assets

Russia sues Euroclear over frozen assets
Legal challenge is first shot across the bows as Brussels aims to use funds for €90bn loan to Ukraine

Russia’s central bank has filed a lawsuit in Moscow seeking damages from Brussels-based depository Euroclear for freezing its sovereign assets, and vowed to challenge European plans to immobilise the reserves.

The move opens the door for Russia to seize Euroclear’s €17bn of assets in the country, seek further damages from the company in other jurisdictions and file other lawsuits if the EU goes ahead with the plans.

The central bank said on Friday it would also “unconditionally challenge” efforts to immobilise its assets via international courts in both “friendly and hostile countries”. It said it would push other jurisdictions to seize Euroclear assets once the Russian court ruled on the case.

The suit is Russia’s first shot across Europe’s bows as Brussels moves to indefinitely immobilise the assets next week to fund a €90bn loan to Ukraine. Belgium, where most of the assets are held, has opposed the idea, fearing Russian retaliation.

As part of its proposal tabled last week, the European Commission has introduced safeguards to protect EU member states and financial institutions from lawsuits within the bloc and to make it more difficult for Russia to enforce any judgments in other jurisdictions.

Russia’s central bank said that Euroclear, which holds €185bn of the €210bn in Russian assets frozen by Europe, had “made it impossible to access funds and securities belonging to the Bank of Russia” through “illegal actions”.

It is seeking damages based on “the sum of the Bank of Russia’s blocked funds, the value of the blocked securities, and loss of expected gains”, the central bank added.

It added that it would pursue “all available legal and other mechanisms to defend its interests” if the European plans to use Russia’s assets move forward. Euroclear declined to comment on the lawsuit.

Kyiv’s western allies froze $300bn in Russia’s reserves shortly after President Vladimir Putin ordered the full-scale invasion of Ukraine in 2022. They are currently immobilised every six months through a process that requires unanimous agreement from all 27 EU members, including opponents of the scheme such as Hungary.

But the European Commission proposed using emergency powers to immobilise €210bn indefinitely to fund the €90bn loan, hoping it will bolster Kyiv’s resistance to Russia’s invasion and help secure a role for the continent in US-led peace talks. EU countries on Thursday agreed to that proposal ahead of a debate among EU leaders next week on the loan.

The move is opposed by the US, which wants most of the assets to be poured into two US-led investment funds as part of draft peace plans that Donald Trump’s administration is currently negotiating between the US and Russia.

Belgium has demanded other member states share the risks of future Russian legal challenges. But France, whose commercial banks hold about €18bn of the Russian assets, has pushed back against the idea.

Vladimir Putin, Russia’s president, said last month that the Kremlin had drawn up plans to respond to the EU scheme but did not offer further details. Moscow is also exploring seizing assets held by Euroclear and western investors in Russia, as well as nationalising western businesses in Russia outright.

Dmitry Peskov, Putin’s spokesperson, told reporters earlier this week that a move to immobilise the Russian assets would “have very serious consequences for countries, legal entities and individuals”.

The EU economy commissioner Valdis Dombrovskis said: “The assets are not seized and the principle of sovereign immunity is respected.”

He said the commission has proposed “additional protections for financial institutions holding these immobilised assets” as part of its €90bn loan proposal.

FT : Russia sues Euroclear over frozen assets

Russia sues Euroclear over frozen assets
Legal challenge is first shot across the bows as Brussels aims to use funds for €90bn loan to Ukraine

Russia’s central bank has filed a lawsuit in Moscow seeking damages from Brussels-based depository Euroclear for freezing its sovereign assets, and vowed to challenge European plans to immobilise the reserves.

The move opens the door for Russia to seize Euroclear’s €17bn of assets in the country, seek further damages from the company in other jurisdictions and file other lawsuits if the EU goes ahead with the plans.

The central bank said on Friday it would also “unconditionally challenge” efforts to immobilise its assets via international courts in both “friendly and hostile countries”. It said it would push other jurisdictions to seize Euroclear assets once the Russian court ruled on the case.

The suit is Russia’s first shot across Europe’s bows as Brussels moves to indefinitely immobilise the assets next week to fund a €90bn loan to Ukraine. Belgium, where most of the assets are held, has opposed the idea, fearing Russian retaliation.

As part of its proposal tabled last week, the European Commission has introduced safeguards to protect EU member states and financial institutions from lawsuits within the bloc and to make it more difficult for Russia to enforce any judgments in other jurisdictions.

Russia’s central bank said that Euroclear, which holds €185bn of the €210bn in Russian assets frozen by Europe, had “made it impossible to access funds and securities belonging to the Bank of Russia” through “illegal actions”.

It is seeking damages based on “the sum of the Bank of Russia’s blocked funds, the value of the blocked securities, and loss of expected gains”, the central bank added.

It added that it would pursue “all available legal and other mechanisms to defend its interests” if the European plans to use Russia’s assets move forward. Euroclear declined to comment on the lawsuit.

Kyiv’s western allies froze $300bn in Russia’s reserves shortly after President Vladimir Putin ordered the full-scale invasion of Ukraine in 2022. They are currently immobilised every six months through a process that requires unanimous agreement from all 27 EU members, including opponents of the scheme such as Hungary.

But the European Commission proposed using emergency powers to immobilise €210bn indefinitely to fund the €90bn loan, hoping it will bolster Kyiv’s resistance to Russia’s invasion and help secure a role for the continent in US-led peace talks. EU countries on Thursday agreed to that proposal ahead of a debate among EU leaders next week on the loan.

The move is opposed by the US, which wants most of the assets to be poured into two US-led investment funds as part of draft peace plans that Donald Trump’s administration is currently negotiating between the US and Russia.

Belgium has demanded other member states share the risks of future Russian legal challenges. But France, whose commercial banks hold about €18bn of the Russian assets, has pushed back against the idea.

Vladimir Putin, Russia’s president, said last month that the Kremlin had drawn up plans to respond to the EU scheme but did not offer further details. Moscow is also exploring seizing assets held by Euroclear and western investors in Russia, as well as nationalising western businesses in Russia outright.

Dmitry Peskov, Putin’s spokesperson, told reporters earlier this week that a move to immobilise the Russian assets would “have very serious consequences for countries, legal entities and individuals”.

The EU economy commissioner Valdis Dombrovskis said: “The assets are not seized and the principle of sovereign immunity is respected.”

He said the commission has proposed “additional protections for financial institutions holding these immobilised assets” as part of its €90bn loan proposal.