
Baron Fifth Avenue Growth Fund | Q4 2025

Dear Baron Fifth Avenue Growth Fund Shareholder,
We had a solid fourth quarter to finish another good year.
Baron Fifth Avenue Growth Fund® (the Fund) was up 3.3% in the fourth quarter, which compared favorably to the 1.1% gain for the Russell 1000 Growth Index (R1KG), and the 2.7% gain for the S&P 500 Index (SPX), the Fund’s benchmarks.
For the year, the Fund finished up 18.2% compared to gains of 18.6% and 17.9% for the benchmarks, respectively, and a 16.1% gain for the Morningstar Large Growth Category average (the Peer Group).*
| Fund Retail Shares1,2 | Fund Institutional Shares1,2,3 | Russell 1000 Growth Index1 | S&P 500 Index1 | |||||
|---|---|---|---|---|---|---|---|---|
| QTD4 | 3.25 | 3.32 | 1.12 | 2.66 | ||||
| 1 Year | 18.00 | 18.15 | 18.56 | 17.88 | ||||
| 3 Years | 36.59 | 36.88 | 31.15 | 23.01 | ||||
| 5 Years | 6.90 | 7.15 | 15.32 | 14.42 | ||||
| 10 Years | 14.63 | 14.91 | 18.13 | 14.82 | ||||
| 15 Years | 14.04 | 14.33 | 16.58 | 14.06 | ||||
| Since Inception (4/30/2004) | 10.56 | 10.77 | 12.76 | 10.88 | ||||
Performance listed in the table above is net of annual operating expenses. The gross annual expense ratio for the Retail and Institutional Shares as of January 28, 2025 was 1.03% and 0.76%, respectively, but the net annual expense ratio was 1.00% and 0.75% (net of the Adviser’s fee waivers), respectively. The performance data quoted represents past performance. Past performance is no guarantee of future results. The investment return and principal value of an investment will fluctuate; an investor’s shares, when redeemed, may be worth more or less than their original cost. The Adviser waives and/or reimburses certain Fund expenses pursuant to a contract expiring on August 29, 2036 unless renewed for another 11-year term and the Fund’s transfer agency expenses may be reduced by expense offsets from an unaffiliated transfer agent, without which performance would have been lower. Current performance may be lower or higher than the performance data quoted. For performance information current to the most recent month end, visit BaronCapitalGroup.com or call 1-800-99-BARON.
It was an exciting year. After two years of strong market returns with the SPX posting consecutive 25%-plus gains (R1KG up 42.7% and 33.4%, respectively), and the Fund adding 57.6% and 37.8%, respectively, to its ledger, many thought we were due for a breather. We started on a positive note, and by mid-February, the Fund was up 8.7%. Then we started hearing about a new tariff policy and that breather – or a slow but sustained slide had begun. Shortly before “Liberation Day,” the R1KG was already down 10% for the year. As soon as the Liberation Day announcement hit, with its “reciprocal” tariff policy the market dropped like a rock. By April 8, the Index was down 23.0% from its February peak. But the tariff policy was quickly adjusted: most tariffs got suspended due to trade negotiations with many countries, and markets rallied again. By midsummer, the TACO trade was on. No one believed in 120% tariffs on China and the 25% tariff on Mexico and Canada only hit a limited number of goods not covered by the USMCA, which was negotiated by this Administration in its first term. The Fund had an excellent second quarter, both on an absolute and relative basis recording a 24.9% gain to check-in up 8.2% at the half-year mark ahead of the 6.1% and 6.2% returns for the Fund’s benchmarks.
By the end of summer, everyone forgot the tariffs, and the AI boom took over. The Fed signaled that despite some reservations it was finally ready to resume lowering interest rates, and the benchmarks added another 10.5% and 8.1%, respectively, while the Fund lagged with a 5.7% gain. By fall, “Are we in an AI bubble?” became the topic DuJour. It seems somewhat obvious that when everyone is talking about a bubble, we are unlikely to be in one. And so, we finished the year with an 18.2% gain, in line with the 18.6% and 17.9% gains for the benchmarks and over 200bps ahead of the Peer Group return of 16.1%.* All in all, we were happy with the decisions we made and the outcomes we experienced.
Since the start of this upcycle in the beginning of 2023, the Fund has gained 156% cumulatively, which compares favorably to the 126% and 86% gains for the R1KG and SPX Indexes, respectively, and the 102% gain for the Peer Group over the same period.*
From a quarterly performance attribution perspective, the Fund outperformed the R1KG by 220bps, with stock selection driving 158bps of outperformance and the remaining gains coming from sector allocation. Our top sectors were Industrials, Communication Services, Health Care and Information Technology (IT), contributing together 332bps to the Fund’s relative results. This was partially offset by Consumer Discretionary and Financials, which cost the Fund 128bps. We suffered from a poor batting average with 16 contributors versus 17 detractors but made up for it with a good slugging percentage, as our contributors were more meaningful than our detractors. Alphabet, SpaceX, xAI, Intuitive Surgical, Shopify, Taiwan Semiconductor (TSMC), and argenx contributed over 40bps each to absolute returns. Meta, Coupang, MercadoLibre, ServiceNow, and Cloudflare were our biggest detractors. None are likely to cause permanent loss of capital, in our view. Most of the share price declines were attributable to multiple contraction while business fundamentals remained robust.
For the year, stock selection contributed 39bps to relative returns while sector allocation detracted 88bps. Stock selection was particularly strong in IT, which contributed 195bps overall with stock selection responsible for 221bps. Within IT, we benefited from strong performance in systems software, which contributed 327bps to our results, as our stocks were up 39.2%, compared to 15.5% for the R1KG. Cloudflare, Snowflake, and CrowdStrike drove results as their business fundamentals continued to accelerate. Internet services & infrastructure was another big contributor (161bps) due to Shopify. We held our own in semiconductors and semiconductor materials & equipment, while application software was a weaker spot within IT (detracted 383bps). Industrials contributed 178bps largely due to SpaceX’s latest funding round, while not owning any Consumer Staples and Energy stocks contributed 66bps as these were the only two sectors in the R1KG that declined in 2025. Communication Services and Financials cost us 326bps. Trade Desk was the main culprit, as competitive pressures in the sector intensified. Though we have been reducing the size of our investment for a while, we ended up overstaying our welcome and exited this investment with a modest profit.
From a stock-specific perspective for the full year, we had 26 gainers against 11 detractors. Performance was driven by a strong slugging percentage with 11 stocks that contributed at least 100bps each, to absolute results. TSMC, SpaceX, Snowflake, xAI, MercadoLibre, ASML, and Meta added over 100bps each, Cloudflare, Shopify, and Alphabet added over 200bps each, while NVIDIA contributed 409bps to absolute returns. On the other side of the ledger, we had only 1 name that detracted more than 100bps from results – Trade Desk, which cost us 227bps.
Once again, the Magnificent Seven (Mag7) – Alphabet, Amazon, Apple, Meta, Microsoft, NVIDIA, and Tesla outperformed. After accounting for 65% and 62% of R1KG’s and SPX’s gains, respectively, in 2023, and 68% and 53% of the benchmarks’ returns in 2024, Mag7 again punched above their weight, driving 57% and 42% of the benchmarks’ returns in 2025. We were 17% underweight the Mag7, on average, in 2025, which cost us 47bps in relative results versus R1KG, even though the Mag7 we owned outperformed, up 25.1% compared to 21.7% for the R1KG.
The inherent tension between process and flexibility
Professional money managers must develop and follow an investment process. On the one hand, a repeatable process is critically important to an investment manager’s long-term ability to generate excess returns. On the other hand, when too rigidly enforced, it can lead to missed opportunities, inability to recognize mistakes in a timely manner, and delay the benefits from lessons learned. And so, a balance is required. A balance between confidence required to execute your process, but not so much that it turns into arrogance and hubris. A balance between being patient and having the courage to wait for your process to succeed, but not so much that it turns into complacency and inability to recognize a mistake. A balance between striving to learn everything you can about the investment you made, but not so much that you forget how much is unknowable or you still do not know. Finding this balance is key. We think the same is true for the companies we own. A repeatable process enables large systems and enterprises to scale and run smoothly and efficiently. But it typically comes with a cost of lack of agility and slower decision making. Adaptability, which is intrinsic in successful early-stage ventures and smaller companies, enables rapid innovation and quick decision making based on the founder’s vision and changing circumstances. This usually comes at the cost of repeatability and less specialization and as a result lower efficiency.
The importance of being able to adapt to disruptive change in the world of AI is obvious. Those companies unwilling or unable to do so will be left behind. To succeed, businesses will need to overcome the innovators’ dilemma, be willing to challenge conventional wisdom, and avoid "but this is how we always did it" type of thinking. They need to embrace change and make sure decision makers on AI aren’t the ones whose jobs are at risk (as they would fight it), and make sure they are creating the right culture to accelerate innovation, take risks, try and fail. Jeff Bezos introduced the "one-way door" decision framework at Amazon where the goal is to apply deep analysis to truly consequential, one-way decisions while moving quickly on reversible ones, preventing indecision and ensuring agility5. The companies that make it would be the ones that adapt a similar mindset. However, we would argue that balance would also be key for those companies that succeed in crossing the chasm – while being adaptable to change, they can’t lose sight of what made them successful thus far – maintaining high quality talent even as the disruption from AI accelerates, retaining a focus on solving real problems for customers and continuing to pull the levers that make them special.
We believe our companies have both the adaptability to change as well as the balance necessary to succeed. NVIDIA started out as a graphics-card supplier for gamers. Over time, the company has evolved into the leading AI infrastructure company in the world. It continues to evolve constantly, accelerating its innovation cycles to an annual cadence, moving to extreme co-design where it designs half a dozen chips simultaneously from networking to CPUs, GPUs, racks, and full AI data centers, while continuously challenging its pre-existing beliefs. At the same time, the company remains true to what we believe makes it unique – a focus on the ecosystem, investing for the long term, and focusing on solving hard problems that others cannot. NVIDIA’s Co-Founder and CEO, Jensen Huang, described it best in the company’s recent CES investor meeting6:
“We like to solve insanely hard problems we are uniquely positioned to solve… I like these things that take a long time, but when you finally get there, it's very likely you'll be quite alone… NVIDIA is powering just about every quantum computer in the world and everybody goes 'zero, zero, zero.'
“Models change all the time… that's why NVIDIA is the right answer - because we're flexible… versatile… You have finite power... Have to utilize that finite power for the overall consumption of the data center. And the more flexible it is, the better it is… We are constantly trying to come up with a new way to do better… I'm trying to disrupt myself all the time."
Another great example is Shopify, which was able to adapt multiple times over the years. Shopify started out with a mission of democratizing online commerce by targeting small domestic online merchants. Today it offers solutions for offline merchants, large merchants, business-to-business merchants, and merchants located everywhere in the world. Along the way, Shopify tried to become a logistics business with the Shopify fulfillment network, but decided to pivot when it saw that its time was better spent focusing on its “main quests”7, cutting over 20% of its workforce. Despite cutting its workforce, it accelerated its innovation velocity and remained obsessed with solving more and more problems for merchants by expanding the set of vertical solutions it offers. Today it includes solutions for taking payments across geographies, instant checkout, working capital loans, tax management, merchant-of-record solutions for cross-border commerce, offline commerce, Shopify Campaigns for end-consumer acquisition, solutions for agentic-commerce, an AI Sidekick to help merchants optimize how they manage their business, and so on, making them much more successful over time.
Alphabet presents another great case study. Alphabet was put in the AI roadkill basket by investors ever since ChatGPT was introduced in late 2022. The bear case was easy to grasp – the AI world will likely be dominated by Large Language Models (LLMs) such as ChatGPT, and Google with its near monopoly position in legacy search had the most to lose. This narrative was further reinforced by the seemingly insurmountable lead built by OpenAI, and the innovators’ dilemma confronting Google’s search – a highly profitable business that had to adapt to the AI disruption and required significant changes and massive upfront investments. While investors’ optimism drove NVIDIA’s shares to unprecedented returns, Alphabet’s stock languished to a point where its valuation dropped to historical lows of 20% below the SPX (based on the next-12-months P/E multiple) in the second quarter of this year. But here is the thing… you know what else happened in late 2022 after the release of ChatGPT, albeit to much less fanfare? Sergei Brin, one of the two co-founders of Google, returned to the company full time to begin work on Gemini, Google’s own LLM. By early 2025, Brin’s AI team was known for 60-hour in office work weeks and the margin pressure caused by the company’s accelerated investments in AI began to alleviate. By the time the company released its Gemini 3 family of AI products in the fall the stock was in full recovery mode. Pushing the pareto frontier on performance and cost of AI models8, the number of Gemini monthly active users reached 650 million, closing the gap with ChatGPT’s 900 million, Alphabet fully regained its mojo. Not coincidentally, the growth in Google Cloud Platform (GCP), its cloud computing business accelerated, while Waymo continued to scale up its autonomous ride sharing platform. Though it took some time, the narrative had flipped and this $4 trillion market cap company finished the year with a 65.3% gain. Though the challenges were real, the company proved to be more adaptable to change than investors had realized. We focus on identifying and investing in companies like NVIDIA, Shopify, and Alphabet. Companies that thrive on innovation and have proven track records of being adaptable to disruptive change.
Who ARE the real beneficiaries of AI and how much of the portfolio is invested in them?
Well… who were the real beneficiaries of… electricity, semiconductors, the internet? Of course, we know the names of the leading manufacturers or smart phones and the hyperscalers that pioneered cloud computing, but the true beneficiaries of those inventions are surely much wider than that. Here is how we think about this question:
- Builders of AI infrastructure – the companies that are benefiting directly from the AI investments and buildout today. They include NVIDIA, which stands at the epicenter of the AI paradigm, Broadcom, a new addition to the Fund, is the leading global partner for companies designing their own AI accelerators (such as Alphabet), TSMC, which is a key supplier to AI fabless companies like NVIDIA and Broadcom, making all of their accelerators and many of their networking chips that go into AI data centers, ASML, the leading lithography wafer-fab equipment supplier and a key supplier to TSMC, Monolithic Power Systems (MPS), another new purchase for the Fund this quarter, a leading power component and systems supplier for AI data centers; and xAI, one of the leading frontier AI labs.
- Providers of AI infrastructure for others – the hyperscalers or companies that rent AI data centers to others. Amazon and Alphabet offer a full-stack solution for AI through their cloud business (Amazon Web Services and GCP, respectively) offering first-party AI hardware (TPUs) and third-party AI hardware (NVIDIA GPUs), along with first party models like Gemini and third-party models like Claude and GPT. We also own Cloudflare, a leading provider of cloud networking and security solutions, which recently introduced a solution for AI inference at the edge.
- Companies that already adopted AI in their core business – this category includes our e-commerce platforms: Amazon, MercadoLibre, and Coupang. They benefit from using AI to improve their recommendation engines, showing products that are more relevant for consumers, which increases conversion rates and improves their advertising algorithms, increasing Return on Ad Spend (ROAS) for advertisers. Adopting AI for customer support has lowered the cost of services and improved optimization and logistics. Payment and banking companies Adyen, Block, and Shopify have been using AI to improve a variety of fintech algorithms such as fraud detection or loan underwriting. This category also includes Alphabet and Meta, who benefit from AI in their recommendation algorithms as well as many of our software companies. Cloudflare, Datadog, and CrowdStrike use AI in their core algorithms to identify anomalies and block malicious or unwanted traffic and cyber-attacks. It also includes Samsara, the leading provider of telematics and video safety, who uses AI in its video safety algorithms.
- Longer-term productivity gains in knowledge work – this category includes all companies that rely on knowledge workers and includes the productivity gains from agentic AI across functions. From software development agents and customer service agents in the nearer-term to finance, marketing, and sales agents longer term. This is a broad category that includes most of our companies that rely on knowledge workers. It includes companies that build AI solutions to help their own customers become more productive. Shopify with its Sidekick solution is a great example, as Sidekick is an always-on “business partner” to Shopify’s merchants, helping them become more productive and sell more to their end consumers. Another example is Snowflake, which is expanding its core data warehouse solution to enable running first and third-party AI solutions on top of the data, while maintaining full control over data residency and governance, which is key for many enterprises.
- Longer-term opportunity from AI generating new revenue streams – in this category we would include agentic commerce, where Shopify should be a prime beneficiary as a connective tissue between its millions of merchants and the few large AI chat-bots, enabling agentic commerce. Amazon and our other e-commerce platforms along with Meta and Alphabet should also be beneficiaries. Finally, this category also includes Illumina, whose gene sequencing platform should benefit from the growing impact of AI in biology and drug discovery, and Eli Lilly, who should benefit from AI in accelerating drug discovery.
- Longer-term opportunity from physical AI – this category includes Tesla, with its significant opportunity in Autonomous driving and Humanoid Robots. It also includes Waymo, owned by Alphabet. Companies with significant physical operations such as our e-commerce platforms. Amazon for example employs over 1.5 million people and operates one of the largest logistics networks globally. As AI matures, we can envision a future in which many of these jobs are either augmented or replaced by automation through autonomous driving and robotics, which should help Amazon drive margins higher over time, while continuously improving the speed and robustness of its logistics network.
After a decade of a very favorable investing environment spurred by record low interest rates, the early 2020s have proven to be a challenge for growth investors. A spike in inflation, partly caused by the COVID-19 pandemic, triggered an unprecedented tightening cycle by the Fed which caused a significant drawdown for equity markets in 2022. Once the tightening cycle ended, the markets stabilized and began to recover, despite increased geopolitical tensions and wars in Europe and the Middle East, the R1KG Index gained 125.6%, while the SPX rose 86.1% over the last three years. While impressive on the surface, the gains were driven by a narrow group of companies with giant market capitalizations leaving most stocks still in the correction territory. We were significantly underweight the Mag7 which proved to be a meaningful headwind. Still, the Fund returned 156.5% over the last three years, outperforming the benchmarks by a cumulative 30.9% and 70.4%, or by 5.7% and 13.9% per year. Over the same period the Fund has outperformed the Peer Group by 9.3% per year.*
Top Contributors & Detractors
| Quarter End Market Cap ($B) | Contribution to Return (%) | |||
|---|---|---|---|---|
| Alphabet Inc. | 3,781.6 | 1.41 | ||
| Space Exploration Technologies Corp. | 800.0 | 1.34 | ||
| X.AI Holdings Corp. | 230.0 | 0.84 | ||
| Intuitive Surgical, Inc. | 200.8 | 0.69 | ||
| Shopify Inc. | 209.9 | 0.49 | ||
Alphabet Inc. is the parent company of Google, the world’s largest search and online advertising company. Shares rose 28.8% (and up 65.3% for the year) on strength in the company’s core businesses, as well as in Google Cloud and Other Bets. In the third quarter, revenues grew 15% in constant currency while EPS grew 35% year-on-year. Despite strong growth of AI competitors such as ChatGPT, both Search and YouTube delivered double-digit revenue growth year-on-year. Additionally, Google Search paid clicks increased compared to the prior year. Google also released the latest version of its AI assistant, Gemini, which currently sits at the top of most AI leaderboards, suggesting the company’s frontier AI research capabilities remain world class. Meanwhile, Cloud revenue growth also accelerated to 34% year-over-year, driven by demand for AI cloud services, with the number of large deals over $1 billion, signed through the third quarter of 2025, greater than the prior two years combined, and the number of monthly AI tokens processed in September up 20 times year-on-year. We believe there is further runway for cloud acceleration given a significant increase in backlog and a large deal announced with leading AI startup Anthropic. Long term, we believe AI innovation should lead to further broad-based opportunities such as autonomous driving (through Waymo), agentic commerce (through the recent partnerships with Shopify and others on Universal Commerce Protocol) and a continued healthy cloud infrastructure business in GCP.
Space Exploration Technologies Corp. (SpaceX) is a high-profile private company founded by Elon Musk. The company's primary focus is on developing and launching advanced rockets, satellites, and spacecrafts, with the ambitious long-term goal of making life multi-planetary. SpaceX is generating significant value with the rapid expansion of its Starlink broadband service. The company is successfully deploying a vast constellation of Starlink satellites in Earth's orbit, reporting substantial growth in active users, and regularly deploying new and more efficient hardware technology. Furthermore, SpaceX has established itself as a leading launch provider by offering highly reliable and cost-effective launches, leveraging the company's reusable launch technology. SpaceX capabilities extend to strategic services such as human spaceflight missions. Moreover, SpaceX is making tremendous progress on its newest rocket, Starship, which is the largest, most powerful rocket ever flown. This next-generation vehicle represents a significant leap forward in reusability and space exploration capabilities. We value SpaceX using prices of recent financing transactions.
X.AI Holdings Corp. (xAI) was formed through the merger of X (formerly Twitter) and xAI to “understand the true nature of the universe." Shortly after its founding, xAI released Grok, an AI model that has quickly emerged as a leader, reflecting meaningful advances in the company’s technology. Grok’s performance has been fueled by the rapid deployment of xAI’s proprietary data center infrastructure: Colossus 1 became operational in 122 days with 100,000 GPUs, while Colossus 2 deployed 100,000 GPUs even faster, positioning xAI to become the first operator of a one-gigawatt data center. Grok 3 was the first model trained entirely on xAI’s own infrastructure, and Grok 5 is expected to leverage the expanded capacity of Colossus 2 to drive further material improvements in capabilities. Engagement on X has already benefited from the replacement of legacy code with Grok’s recommendation engine. These milestones highlight xAI’s ability to accelerate innovation and its potential to secure a durable leadership position in the competitive AI industry. We value the company based on recent material secondary transactions in its shares, which have contributed to appreciation in the stock.
| Quarter End Market Cap ($B) | Contribution to Return (%) | |||
|---|---|---|---|---|
| Meta Platforms, Inc. | 1,664.1 | (0.75) | ||
| Coupang, Inc. | 43.1 | (0.69) | ||
| MercadoLibre, Inc. | 102.1 | (0.58) | ||
| ServiceNow, Inc. | 158.9 | (0.35) | ||
| Cloudflare, Inc. | 69.2 | (0.31) | ||
Meta Platforms, Inc., the world’s largest social network, detracted from performance as shares declined 10.0% in the fourth quarter, though still finished 2025 up 13.1%. While Meta reported strong quarterly results with 25% revenue growth (year-on-year in constant currency) and 40% operating margins (both above expectations) and provided solid forward revenue guidance, 2026 capital and operating expenditures guidance was above Street expectations, raising concerns that it may be overspending in AI for less certain returns relative to competitors. While hyperscalers have an existing cloud business, through which they rent out GPUs and can therefore generate a short-term return on their AI spend, Meta doesn’t have a cloud business and so its investment profile is longer-duration in nature. Still, we believe Meta continues to benefit from its AI investments across the core business, driving improvements in content recommendations (with rising time spent) and in ad targeting and ranking (leading to higher conversions and better return on ad spend). Our industry checks also validate strong advertiser adoption and satisfaction, including in newer areas such as easy-to-use AI creative tools and business messaging. We believe Meta will begin to realize returns from its AI investment or rationalize spending over time. Longer term, Meta’s leadership in mobile advertising, massive user base, innovative culture, leading generative AI research and distribution, and technological scale position it well for continued performance, with additional monetization opportunities ahead in areas such as smart glasses and commerce.
Shares of Coupang, Inc., Korea's largest e-commerce platform, declined 26.7% in the fourth quarter (even though they finished 2025 up 7.4%). The weakness was initially driven by elevated upfront investments in its new market, Taiwan, where aggressive customer acquisition, supplier onboarding and product procurement, and logistics infrastructure buildout weighed on near-term profitability, as the company is expanding into a large new total addressable market underpinned by positive early data points. Investor sentiment was further pressured by a recent customer data breach incident, which raised short-term concerns around compliance costs, reputational risk, and potential regulatory scrutiny. A softer domestic consumption backdrop in Korea toward year-end also contributed to a more cautious market positioning. These dynamics drove a material multiple contraction, which was responsible for over 100% of the decline in the shares during the quarter. Despite these headwinds, our conviction in Coupang remains intact. We view the data security issue as operational rather than structural, with no evidence of lasting customer attrition or erosion in competitive positioning. Over the longer term, we believe that Coupang will continue to gain market share in its core business while leveraging its differentiated fulfillment infrastructure and technology to scale new services and expand into new markets. We remain invested.
MercadoLibre, Inc. is the leading e-commerce marketplace across Latin America. Shares of MercadoLibre declined 13.8% in the quarter (although finished the year up 18.4%) on near-term concerns of margin pressure and longer-term concerns over competition. Competitive intensity in Brazil has increased during the second half of the year, as Amazon and Shopee ramped up promotional activity, prioritizing growth over margins. In parallel, MercadoLibre decided to expand free shipping thresholds, and increased marketing spend, driving fears of near-term margin compression. Investors also became increasingly worried that agentic AI could slow gross merchandise value growth and pressure take rates by reducing marketplace product discovery and high-margin advertising revenue growth. Continued volatility in Argentina, one of MercadoLibre’s higher-margin and fastest-growing markets, further prompted worries that slower economic growth would lead to slower growth in profits. While these factors drove near-term stock weakness, as nearly all of the underperformance in the quarter was driven by multiple contraction, we maintain conviction in MercadoLibre’s long-term opportunity as the company is positioned to capture a large share of Latin America’s underpenetrated e-commerce and fintech markets, with superior logistics capabilities, brand trust, and a powerful ecosystem that provides significant competitive advantages.
Portfolio Structure
The Fund is constructed on a bottom-up basis with the quality of ideas and conviction level determining the size of each investment. Sector weights tend to be an outcome of the portfolio construction process and are not meant to indicate a positive or a negative “view.”
As of December 31, 2025, our top 10 holdings represented 59.8% and our top 20 represented 87.9% of the Fund’s net assets, respectively. This compares to weightings of 58.9% and 84.5%, respectively, at the end of 2024. We finished the year with 31 investments. IT, Consumer Discretionary, Communication Services, Health Care, and Financials made up 96.5% of net assets. The remaining 3.5% was made up of GM Cruise and SpaceX, two of our three private investments classified as Industrials (the third one is xAI which is included in Communication Services), and cash.
The Fund’s turnover was 17.9% in 2025, compared to an average turnover of 18.8% over the last three years, and 21.9% average turnover over the last five years.
| Quarter End Market Cap ($B) | Quarter End Investment Value ($M) | Percent of Net Assets (%) | ||||
|---|---|---|---|---|---|---|
| NVIDIA Corporation | 4,532.0 | 96.9 | 12.3 | |||
| Amazon.com, Inc. | 2,467.5 | 65.6 | 8.3 | |||
| Meta Platforms, Inc. | 1,664.1 | 58.8 | 7.4 | |||
| Alphabet Inc. | 3,781.6 | 48.3 | 6.1 | |||
| Shopify Inc. | 209.9 | 42.9 | 5.4 | |||
| Taiwan Semiconductor Manufacturing Company Limited | 1,576.1 | 42.4 | 5.4 | |||
| Tesla, Inc. | 1,495.7 | 33.4 | 4.2 | |||
| KKR & Co. Inc. | 113.6 | 28.2 | 3.6 | |||
| MercadoLibre, Inc. | 102.1 | 28.2 | 3.6 | |||
| Samsara Inc. | 20.5 | 27.5 | 3.5 | |||
Recent Activity
During the fourth quarter, we initiated two new investments, both in the semiconductor space: the leading fabless semiconductor and software giant, Broadcom, and a leading power components and systems supplier, MPS. We also participated in a new funding round in Elon Musk’s AI company, xAI, where we added to our existing position.
We increased the size of our investment in nine existing holdings, including the leading cloud-based software provider for physical operations, Samsara, a leading cloud-based collaboration software provider, Atlassian, a leading alternative asset manager, KKR, a leading cloud-based cyber-security platform, CrowdStrike, the leading next-generation sequencing platform, Illumina, the leading semiconductor manufacturer, TSMC, a leading cloud-based data platform, Snowflake, and the leading Korean e-commerce platform, Coupang. We trimmed four existing positions in Adyen, ASML, ServiceNow, and Block and sold two investments – Veeva Systems which is further along in its growth lifecycle, and Trade Desk, where competitive intensity increased, prompting us to reallocate to ideas in which we saw a more favorable risk/reward.
| Quarter End Market Cap ($B) | Net Amount Purchased ($M) | |||
|---|---|---|---|---|
| Broadcom Inc. | 1,641.0 | 18.5 | ||
| Monolithic Power Systems, Inc. | 43.4 | 16.2 | ||
| X.AI Holdings Corp. | 230.0 | 10.0 | ||
| Samsara Inc. | 20.5 | 9.7 | ||
| Atlassian Corporation | 42.7 | 4.9 | ||
During the fourth quarter, we initiated a new position in Broadcom Inc., which designs and supplies semiconductor and infrastructure software solutions that sit at the core of modern computing and networking. The company is a global leader in high-performance digital and mixed-signal technologies spanning networking, connectivity, storage, and custom accelerators. Through its VMware acquisition, Broadcom also owns critical software layers used to virtualize and manage large-scale compute environments.
As returns on model scaling remain compelling (the intelligence of models grows with the scale of the compute and the amount of data on which models are trained), leading AI labs are investing aggressively in larger, more specialized infrastructure. While NVIDIA remains the default merchant platform, especially thanks to its rapid innovation cycles, leading AI labs are increasingly seeking to diversify some portion of their compute clusters at a more efficient cost structure especially for large workloads that are relatively stable (and hence don’t require the flexibility inherent in a generalized infrastructure such as GPUs). Broadcom is uniquely positioned to enable this dynamic. It is the only scaled merchant supplier capable of co-designing custom accelerators and networking solutions with hyperscalers and frontier AI labs, and reliably delivering them into high volume production.
Broadcom has seen strong momentum in AI, with their key customer Google continuing to ramp and additional large customers entering significant volume production. The company ended its fiscal 2025 with AI revenue growth of 65%, which reached $20 billion (nearly one-third of total revenues), with quarterly AI revenues up 10 times in the last 11 quarters. Broadcom also announced overall AI backlog of $73 billion, which is almost half of the company’s total backlog of $162 billion. It now has 5 XPU (AI accelerator) customers. Despite the robust growth, Broadcom guided AI revenues to further accelerate in fiscal year 2026.
In addition, VMware integration progresses and the non-AI semiconductor businesses appear to be bottoming, which has driven overall company growth to 24% in fiscal year 2025 with 67% EBITDA margins. We believe that Broadcom’s growth runway is long as an enabler of a full-stack solution as demand is expected to remain durable for years to come underpinned by the AI infrastructure build-out.
During the quarter, we also initiated a position in Monolithic Power Systems, Inc. (MPS), which designs semiconductor chips that control and deliver power inside electronic systems. Its products ensure that processors, memory, and sensors receive the precise power they need, safely and efficiently. MPS has built a leadership position in power management through deep system-level design expertise and highly integrated solutions that combine multiple functions into compact, high-performance devices. As CEO Michael Hsing puts it9, “[MPS] want to demonstrate in any segment of the market, we are the best; we have possessed the best technology and best customer service.”
MPS is positioned to benefit from two major long-term shifts: the redesign of data centers for AI and the transformation of vehicle electrical architectures. AI is driving a rapid increase in power demand inside data centers. Servers that once consumed modest power in the sub 10 kilowatt per rack, now require many times more with NVIDIA GB200 servers, which are currently in volume production, consuming around 120 kilowatt per rack. Next-generation AI systems will see further increase in power density. This is forcing a rethink of how power is distributed, converted, and managed inside servers and racks. As power levels rise, systems require more sophisticated and higher-value power solutions. Even if server shipments fluctuate over time like in a typical cycle, the amount of power hardware per system is set to grow for many years. This creates a durable growth tailwind for MPS across servers, accelerators, memory, networking equipment, and rack-level power systems. In parallel, automobiles are shifting from many small electronic units to a few powerful central computers and from traditional 12-volt systems towards higher-voltage architectures. Modern vehicles increasingly resemble advanced computers on wheels, with growing power needs and tighter efficiency and reliability requirements. These changes significantly increase the amount of advanced power management components per vehicle and expand MPS’s role from specific subsystems into broader, system-level power delivery.
Considering that MPS still represents only low single-digits percentage of the analog industry, even though it has grown revenues by over 8 times and EPS by over 9 times in the last decade (representing CAGRs of 23.6% and 25%, respectively), we believe runway for growth remains long. Moreover, we believe that the company’s expansion into modules presents an additional opportunity as modules still represent only 10% to 15% of revenues and have 3 to 4 times the ASP compared to chips. In addition, we believe that MPS’s leading competitive positioning in power management would enable it to benefit from both the AI infrastructure build-out and the long-term electrification and computing transformation of the automobile, further reinforcing the company’s growth tailwinds.
During the fourth quarter we also invested in Series E of X.AI Holdings Corp. (xAI), adding to our original investment from 2024. XAI is a private company formed through the merger of X (formerly Twitter) and xAI, Elon Musk’s AI company founded in March 2023 to “understand the true nature of the universe.” The combination pairs xAI’s LLMs with X’s real-time data and global distribution, accelerating AI development while giving X an opportunity to modernize the platform by replacing legacy code with AI-driven tools.
We believe that xAI’s social media activity should benefit significantly from embedding AI capabilities that increase engagement, support advertising growth, enable more multi-modal interactions, and improve platform safety and moderation. We also believe that integrating X Money into the ecosystem creates a large new market opportunity, amplified by the network’s sizable user base. Furthermore, xAI’s rapid progress positions the company to benefit from growing adoption across enterprises, governments, and consumers. The Macrohard initiative is expected to introduce advanced AI functionality that reshapes digital workloads, driving meaningful productivity gains at lower cost. Lastly, over time, combining xAI’s intelligence with robotics could expand its reach beyond software, enabling the company to transform workloads across both digital and physical environments.
We believe that xAI's compute capacity is a critical advantage in AI, and xAI has demonstrated an exceptional ability to deploy infrastructure quickly, at scale, and at competitive cost, strengthening its overall position. XAI is also among the few companies to develop frontier-level AI models. With growing compute resources, future model iterations should improve materially, supporting leadership in general-purpose intelligence. The company also has access to a unique and valuable asset: a real-time, global, multi-modal data stream, reinforced by a highly engaged and sophisticated user base. The Grokipedia initiative is improving data accuracy over time, further strengthening the company’s positioning as a trusted vendor.
| Quarter End Market Cap or Market Cap When Sold ($B) | Net Amount Sold ($M) | |||
|---|---|---|---|---|
| Adyen N.V. | 50.3 | 11.2 | ||
| Veeva Systems Inc. | 47.7 | 8.7 | ||
| ASML Holding N.V. | 420.3 | 7.3 | ||
| ServiceNow, Inc. | 158.9 | 5.2 | ||
| Block, Inc. | 39.6 | 2.5 | ||
Outlook
We are excited about what is to come!
No, we are not talking about further interest rate cuts, deregulation, improved efficiency and productivity, increased M&A activity, and a more benign geopolitical background – things that are reasonably likely to happen that could provide a nice tailwind for the market and our stocks. No one gifted us a crystal ball this holiday season and even if we had one, we would not know how to use it. We do not know what is priced in or how the market would react to the events in the short term as they unfold. After a blockbuster three-year run with the Fund gaining 156.5% on a cumulative basis curbing our enthusiasm would seem to be in order. U.S. large-cap growth stocks are not cheap. The prospective returns are always negatively correlated to the recent ones and some normalization or return to the mean is somewhat likely. But truthfully – we have no idea.
As our crystal ball metaphor was meant to illustrate short-term market moves, as measured by quarters and any given years, are impossible to forecast. We know we have no edge there (we are not sure anyone does) and so we do not even try. However, when it comes to longer-term trends… we know something about taking advantage of that, and we are really excited about what we think is to come.
We are in the early stages of one of the biggest disruptive changes we have witnessed in our careers and perhaps in all human history. Invoking pattern recognition once again, this reminds us of the early 90s with the internet. Jeff Bezos, whose company was arguably at the epicenter of that transformation, remarked that “This is most like electricity. There was electricity, then compute, and now AI. These horizontal layers, they go everywhere. I guarantee there is not a single application that you can think of, that is not going to be made better by AI10.” Elon Musk, no stranger to disruptive change himself, said that “Probability that AI exceeds the intelligence of all humans combined by 2030 is about 100%.”11
We own a portfolio of great businesses that we expect will create and realize a lot of value from this disruptive change over long periods of time.
As we do every year, to better understand the Fund’s performance, we deconstructed performance into its two components – change in multiples and change in the fundamentals. During the fourth quarter, the weighted average multiple12 contracted by 5.7% and closed down 2.9% for the year. Since the Fund was up 3.3% in the quarter and up 18.2% during 2025, all of our performance in 2025 was driven by growth in fundamentals as opposed to the more unpredictable and volatile change in multiple – a positive data point for the Fund’s prospective returns. The fundamentals of our businesses also continued to improve during the year with consensus revenue expectations for 2026 increasing by 4.8% during the fourth quarter and by 9.4% during 202513, and operating income expectations rising by 4.9% in the quarter and a similar 9.1% over the year.
Every day we live and invest in an uncertain world. Well-known conditions and widely anticipated events, such as Federal Reserve rate changes, ongoing trade disputes, government shutdowns, and the unpredictable behavior of important politicians the world over, are shrugged off by the financial markets one day and seem to drive them up or down the next. We often find it difficult to know why market participants do what they do over the short term. The constant challenges we face are real and serious, with clearly uncertain outcomes. History would suggest that most will prove passing or manageable. The business of capital allocation (or investing) is the business of taking risk, managing uncertainty, and taking advantage of the long-term opportunities that those risks and uncertainties create.
We are optimistic about the long-term prospects of the companies in which we are invested and continue to search for new ideas and investment opportunities while remaining patient and investing only when we believe target companies are trading at attractive prices relative to their intrinsic values.
Sincerely,

Featured Fund
Learn more about Baron Fifth Avenue Growth Fund.
Baron Fifth Avenue Growth Fund
- InstitutionalBFTIX
- NAV$62.31As of 02/23/2026
- Daily change-2.75%As of 02/23/2026