# Сопутствующие статьи по теме Valuation

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Valuation", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

NVIDIA Earnings Countdown: Beating Expectations Is a Near Certainty, but Wall Street Is Most Concerned About These Five Questions

NVIDIA Earnings Countdown: Beating Expectations is a Given, but Wall Street Cares Most About These Five Issues The upcoming NVIDIA Q1 earnings report is expected to easily surpass the consensus revenue estimate of ~$78.7B. However, Wall Street's focus has shifted from the numbers themselves to five key strategic questions. **1. Shareholder Returns: Will "Frugality" Change?** Despite being the S&P 500's largest company, NVIDIA's shareholder returns (dividends + buybacks) averaged only 47% of its free cash flow from 2022-2025, far below the 80% peer average and its own historical norm. Its 0.02% dividend yield also lags the peer average of 0.89%. This low cash return, partly due to investments in AI ecosystem partners, is cited as a core reason for NVIDIA's valuation discount compared to other "Magnificent 7" stocks. Increasing returns could attract long-term income funds and be a catalyst. **2. Vera Rubin: The Next-Gen Chip Timeline** Analysts expect the next-generation Vera Rubin (R200) platform to ramp in the second half of 2026, following the current Blackwell series. It will use TSMC's 3nm process and share Blackwell Ultra's "Oberon" rack architecture, suggesting a smooth transition with limited gross margin impact. The market also awaits any update on NVIDIA's $1 trillion cumulative revenue forecast for 2025-2027. **3. Gross Margin: Can the 75% Level Hold?** Gross margin, a key valuation support, is expected to stabilize in the near term due to the shared architecture between Blackwell and Vera Rubin. The consensus sees it fluctuating between 74-75%. The main long-term pressure is the rising cost contribution of HBM memory. **4. AI Accelerator Market Forecast Update** The report anticipates the total AI accelerator market will reach ~$1.17 trillion by 2030, with NVIDIA maintaining a 68-70% share. The focus is on whether NVIDIA will update its forecast to include new growth drivers: LPU racks, its Vera CPU, and the Vera Rubin Ultra platform. **5. Competition: Are Threats from Google TPU/CPU Overstated?** The analysis disputes narratives that the rise of "Agentic AI" elevates CPU importance over GPU, threatening NVIDIA. It notes NVIDIA's own "Vera CPU" is competitive, and current Blackwell/TPU clusters already use a 1:2 CPU-to-GPU ratio, contrary to the "more CPUs needed" story. NVIDIA's dominance in AI accelerators is seen as secure. **Valuation Discount:** NVIDIA trades at a significant discount to Mag-7 peers: ~50% based on CY26/27 P/E (26x/19x vs. 49x/42x avg.) and over 66% based on EV/FCF. Bank of America maintains a "Buy" rating with a $320 price target.

marsbit05/20 03:03

NVIDIA Earnings Countdown: Beating Expectations Is a Near Certainty, but Wall Street Is Most Concerned About These Five Questions

marsbit05/20 03:03

The Warsh Storm Approaches

The article "The Warsh Storm Approaches" analyzes the potential market impact of Kevin Warsh becoming the new Federal Reserve Chairman, succeeding Jerome Powell. It argues that the current AI-driven stock market rally, concentrated in high-valuation tech giants, relies on a crucial premise: that long-term interest rates will eventually fall. This premise is now under threat as the 30-year Treasury yield remains persistently high, exceeding 5%, due to sticky inflation, worsening U.S. fiscal deficits, and deteriorating Treasury supply-demand dynamics. The core vulnerability is that high long-term rates pressure valuations by increasing the discount rate for future earnings. The article warns that Warsh's policy stance could intensify this pressure. Unlike Powell, Warsh is seen as more tolerant of market stress, more committed to quantitative tightening (QT/shrinking the Fed's balance sheet), and less inclined to provide implicit market support. His tenure at the Fed during the 2008 crisis shaped his skepticism about prolonged quantitative easing, believing it fuels asset bubbles without sufficiently boosting the real economy. While strong AI-driven earnings growth could theoretically offset higher rates, the narrative is currently concentrated in a few firms and hasn't yet translated into broad-based productivity gains for the wider economy. Therefore, the AI boom may not be enough to counter the valuation pressures from sustained high yields. Warsh's leadership could force the market to confront a new reality where the old supports—low long-term rates and a reliably supportive Fed—are no longer guaranteed, potentially triggering a reassessment of sky-high stock valuations.

marsbit05/19 04:58

OpenAI Century Lawsuit, Musk Loses

"OpenAI Century Lawsuit, Musk Loses: Jury Unanimously Rejects Elon Musk's $150 Billion Case" In a rapid verdict, a jury has unanimously dismissed Elon Musk's $150 billion lawsuit against OpenAI and its founders, Sam Altman and Greg Brockman. The case, centered on accusations of violating charitable trust and unjust enrichment, was rejected purely on procedural grounds: Musk filed the lawsuit too late. California law sets a three-year statute of limitations for such claims, and evidence showed Musk was aware of OpenAI's shift towards a for-profit model as early as 2021, yet did not sue until February 2024. The trial, spanning three weeks with testimony from numerous Silicon Valley figures, revealed internal details about OpenAI's founding and transition. Despite the legal loss for Musk, the trial exposed internal tensions and questions about governance. The ruling removes a major legal obstacle for OpenAI's planned trillion-dollar IPO. Meanwhile, the AI race intensifies, with both OpenAI (valuing GPT-5.5 and massive cloud compute deals) and Musk's xAI (preparing a SpaceX-xAI merger IPO and training multiple large models) on paths toward potential trillion-dollar valuations. Musk's legal team has announced plans to appeal.

marsbit05/19 03:01

Farewell to the Copper Era: Understanding the Logic of the AI Silicon Photonics Industry Chain and Key US Stock Players

**Summary: The Era of Silicon Photonics and Key AI Infrastructure Stocks** The article delves into the transition from copper-based interconnects to silicon photonics (SiPh) as a critical enabler for next-generation AI data centers. It explains that copper faces fundamental physical limits—the bandwidth wall, density wall, and power wall—at high data rates (1.6T+), making a material shift essential. Silicon photonics, which integrates components like lasers, modulators, and detectors onto a silicon chip, offers a solution by leveraging mature CMOS manufacturing for cost-effective, high-volume production. A key challenge is that silicon itself is not an efficient light source, making Indium Phosphide (InP) lasers a critical and supply-constrained component. A major industry catalyst was NVIDIA's 2025 GTC announcement, declaring optical interconnects a "standard" from its Rubin platform onward, followed by strategic investments to secure the supply chain. The industry is structured in four key layers: 1. **Foundries:** TSMC leads with its COUPE platform, while Tower Semiconductor (specialized SiPh foundry) and GlobalFoundries are major players. 2. **Core Component Suppliers:** Lumentum is highlighted as the sole volume manufacturer of the crucial 200G/lane EML laser, with orders locked by NVIDIA through 2027. 3. **Module & System Manufacturers:** Coherent holds significant market share, with Chinese manufacturers like InnoLight also noted for scale. 4. **System Integrators:** NVIDIA, Broadcom, and Marvell dominate this layer, setting standards and integrating technology. The article identifies core public investment targets: **NVIDIA (NVDA)** as the ecosystem driver; **Broadcom (AVGO)** and **Marvell (MRVL)** in networking/switching chips; **Lumentum (LITE)** and **Coherent (COHR)** for critical components; and foundries **TSMC (TSM)** and **Tower Semiconductor (TSEM)**. Private companies Lightmatter and Ayar Labs are noted as key IPO candidates. The silicon photonics shift is driving a re-rating of company valuations, moving them from traditional telecom/industrial metrics to premium AI infrastructure multiples. The industry features high barriers to entry (e.g., multi-year lead times for InP laser capacity, complex 3D integration/thermal management, and lengthy customer qualification cycles), suggesting a "winner-takes-most" dynamic. Risks include dependence on hyperscaler capex cycles, potential technology disruption among competing optical approaches (LPO, CPO, OCS, Optical I/O), and a timeline where widespread CPO deployment may not occur until ~2028, with LPO serving as a transitional technology. The conclusion advises that betting on the overall industry trend may be safer than betting on any single company.

marsbit05/19 02:15

Farewell to the Copper Era: Understanding the Logic of the AI Silicon Photonics Industry Chain and Key US Stock Players

marsbit05/19 02:15

From 'Cash Incinerator' to 'Money Printing Machine': ChangXin Technology's Remarkable Turnaround, Raking in 50 Billion in Half a Year

Changxin Technology: From "Money Incinerator" to "Money Printer" in Six Months Changxin Technology, a Chinese DRAM chipmaker once dubbed a "money incinerator" for years of massive losses, has staged a staggering financial turnaround. Its updated IPO prospectus reveals explosive 2026 first-half results: revenue forecast of 110-120 billion yuan (up 613-677% year-on-year) and net profit of 50-57 billion yuan (up 2244-2544% year-on-year). This half-year profit rivals that of major state-owned energy giants. The reversal stems from a historic memory chip super-cycle fueled by AI. Massive demand from AI servers, consuming 8-10x more DRAM than traditional servers, coupled with a supply crunch as major players shift capacity to premium HBM, has driven DRAM prices to multi-year highs. As China's only large-scale DRAM IDM (integrated design and manufacturing) firm, Changxin was positioned to capitalize. With upgraded product lines (DDR5/LPDDR5) and high capacity utilization, it achieved both volume and price increases, doubling its global market share to 7.67% in just half a year. This follows a decade of heavy investment and losses totaling 36.65 billion yuan, a gamble led by Chairman Zhu Yiming, who famously vowed to take no salary until the company was profitable. The IPO aims to raise 29.5 billion yuan, implying a valuation that some analysts project could reach 1-2 trillion yuan long-term. Debate persists over the sustainability of profits given DRAM's cyclicality, but supporters point to structurally sustained AI demand and Changxin's strategic national importance. The story is a textbook financial comeback, rewarding persistent investment in a critical industry.

marsbit05/18 13:04

From 'Cash Incinerator' to 'Money Printing Machine': ChangXin Technology's Remarkable Turnaround, Raking in 50 Billion in Half a Year

marsbit05/18 13:04

China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

The article describes how the valuation logic for major Chinese AI model companies has undergone three dramatic shifts between 2022 and 2026, driven by capital's changing priorities. The first phase (around 2022) was **technology-driven valuation**, where funding was based on model performance and benchmark scores. This logic was disrupted when DeepSeek's R1 model demonstrated that comparable capabilities could be achieved at a fraction of the cost, challenging the notion of technical superiority as an unassailable moat. The second phase shifted to **IPO window-driven valuation**. Following favorable listing conditions in Hong Kong, capital flowed to companies like Zhipu and MiniMax with the clearest path to a public listing. However, this focus on liquidity over fundamentals became apparent as their Annual Recurring Revenue (ARR) lagged far behind international peers like Anthropic. The third and current phase is **national strategy-driven valuation**. This shift was marked by the state-backed "Big Fund" leading a major investment in DeepSeek, signaling that leading domestic AI models are now viewed as strategic national assets comparable to semiconductor manufacturing. This new logic, combined with soaring US valuation benchmarks (e.g., OpenAI at $850B), propelled the combined valuation of China's top AI firms ("The Four Dragons"/"Five Strong") past 1 trillion RMB. The article presents a "pricing leap model": each shift is triggered by a key event that invalidates the old logic, leading to rapid capital reallocation under a new narrative before its flaws (particularly the gap in fundamental ARR metrics) become evident. It concludes that the next major test for these valuations will be a return to scrutinizing core business fundamentals, specifically ARR growth, suggesting a fourth pricing shift is imminent.

marsbit05/18 10:42

China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

marsbit05/18 10:42

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

Title: Figure's Founder on the $39B Valuation and the Ambition to Mass Produce a Million Humanoid Robots In a Sourcery podcast interview, Figure founder and CEO Brett Adcock discusses the rapid rise of his humanoid robotics company. With a valuation that surged 15x in 18 months to $39 billion, Figure aims to create general-purpose humanoid robots for work in factories and homes. Adcock states that the company's primary goal is to make robots that perform real, paid work autonomously. He shares Figure's aggressive scaling plan: producing thousands of robots this year, with an ultimate ambition to reach one million units annually. Adcock explains Figure's vertically integrated strategy, designing its own motors, sensors, and joints to control its supply chain and destiny. He details the challenges, including achieving long-term, reliable, end-to-end autonomous operation—a feat no one has yet accomplished. The biggest risk is executing this complex vision at scale, but Adcock believes the potential market is enormous, representing a significant portion of global GDP. The interview also covers his departure from OpenAI, citing that Figure's internal AI team eventually surpassed OpenAI's capabilities for robotics applications. Adcock concludes by highlighting his focus for the year: large-scale commercial deployment of robots and advancing toward a "general robot" capable of any human task, potentially seeing the first signs of AGI (Artificial General Intelligence) in the physical world at Figure.

marsbit05/18 10:26

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

marsbit05/18 10:26

BlackRock, the 'World's Largest Asset Manager,' Considers Investing in SpaceX's 'Largest IPO in History'

BlackRock, the world's largest asset manager, is considering investing $5-10 billion in SpaceX's upcoming IPO, which could raise up to $75 billion. This move would position BlackRock as a major anchor investor in what is anticipated to be the largest IPO in history. Although BlackRock already holds a private stake in SpaceX valued at least at $300 million, its position is smaller compared to peers like Fidelity. The potential IPO investment would come from BlackRock's active management funds. CEO Larry Fink has recently expressed public support for Elon Musk. Institutional investors remain broadly interested despite risks. A recent SpaceX investor tour included major firms, with sentiment summarized as: "you've never lost money betting on Musk." However, the IPO faces challenges, including a high valuation, an AI strategy in flux, and a key rocket still in testing. Governance concerns are notable, with mandatory arbitration for shareholders and Musk holding super-voting shares granting him significant control. Investor appetite is driven by SpaceX's dominance in rocket launches and the commercial potential of deploying high-value payloads like AI chips into space. Balancing the high valuation with governance concessions will be a key test for investors.

marsbit05/18 00:03

BlackRock, the 'World's Largest Asset Manager,' Considers Investing in SpaceX's 'Largest IPO in History'

marsbit05/18 00:03

Surging 108% on Debut! The Biggest AI Dark Horse of 2026 is Born, Altman Profits 'Passively' Again

Cerebras, an AI chip company known for its wafer-scale "dinner plate-sized" WSE-3 processor, completed a landmark IPO on the NASDAQ in 2026. Its shares surged 108% on the first day of trading, with the valuation reaching approximately $100 billion at its peak. The offering raised $5.55 billion, marking one of the largest U.S. tech IPOs since Uber in 2019. The company's dramatic turnaround was a key driver, moving from a $482 million loss to a $238 million profit in 2025, with revenue growing 76% to $510 million. Major new contracts, including a multi-year deal with OpenAI potentially worth over $20 billion and a deployment agreement with AWS, boosted investor confidence. Founder Andrew Feldman emphasized to investors the coming explosion in AI inference demand, the viability of non-GPU compute, and the perceived overestimation of NVIDIA's CUDA ecosystem moat. The IPO created substantial returns for early investors like Foundation Capital (76x return) and Benchmark (12x return). OpenAI, through a strategic agreement linked to future compute purchases, secured an estimated $1.8 billion in paper gains, while Sam Altman's personal 2017 investment grew roughly tenfold to around $30 million. Cerebras' success is positioned as the opening act for a wave of massive AI-focused IPOs expected in 2026, including potential listings from SpaceX (targeting a $1.75 trillion valuation), OpenAI ($1 trillion), and Anthropic ($900 billion), collectively representing over $3 trillion in potential market value. The article concludes that these moves signal capital is placing foundational bets on the immense compute infrastructure required for the future development of Artificial Superintelligence (ASI).

marsbit05/15 11:20

Surging 108% on Debut! The Biggest AI Dark Horse of 2026 is Born, Altman Profits 'Passively' Again

marsbit05/15 11:20

The First OpenAI Employees to Sell Their Shares Have Become Millionaires

Early OpenAI Employees Become Millionaires Before IPO A recent report reveals that OpenAI allowed over 600 current and former employees to sell shares in October, cashing out a total of $6.6 billion. Approximately 75 employees each realized about $30 million. This highlights a significant shift in the AI industry: employees at top companies can now gain substantial wealth through secondary market sales, tender offers, and other liquidity events long before a traditional IPO. For OpenAI, this generous equity incentive strategy, alongside high salaries and bonuses, has become a powerful tool to attract and retain top AI talent amid fierce competition. The company has adjusted its policies, increasing individual sale limits and allowing newer employees to participate. This trend extends beyond OpenAI. Chinese AI firm DeepSeek is reportedly seeking its first external funding round at a potential $50 billion valuation. This move is seen as crucial for establishing an external market price, which is necessary to make employee equity grants meaningful and competitive for retaining talent. The pathways to wealth creation in AI are diversifying. Beyond waiting for IPOs (e.g., Anthropic, chipmaker Cerebras), companies are exiting via acquisitions (e.g., Databricks buying MosaicML) or through complex deals like technology licensing and team transfers (e.g., Google's deal with Character.AI). These mechanisms allow investors, founders, and employees to realize gains earlier and through more varied routes than in previous tech cycles. In summary, the AI boom is creating a new wave of wealth, distributed not just to founders and investors but also to technical talent, and the liquidity events are occurring sooner and through more channels than ever before.

marsbit05/14 13:39

The First OpenAI Employees to Sell Their Shares Have Become Millionaires