# Earnings Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Earnings", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit06/05 00:55

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit06/05 00:55

Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

On June 3, Broadcom released record Q2 FY26 results with revenue of $22.19B, up 48% YoY, and AI chip sales of $10.8B, up 143%. Adjusted EPS of $2.44 beat estimates. However, its Q3 AI semiconductor revenue guidance of $16B, while up over 200% YoY, fell roughly $1.2B (7%) short of analyst consensus expectations of $17.2B. This miss, coupled with slightly weaker-than-expected software revenue, triggered a severe market reaction. CEO Hock Tan maintained the FY26 AI revenue outlook of over $100B but did not raise it, disappointing investors who had priced in more robust growth. The stock plummeted over 13% in after-hours trading, erasing roughly $270B in market cap. The sell-off extended to peers like Marvell. A key concern for markets, particularly for Chinese optical module suppliers, was Tan's comment that the contribution of AI networking (e.g., Ethernet switches, optical interconnect chips) to AI revenue, currently near 40%, is expected to normalize to around 30% over time, signaling a potential peak in growth for that segment. Despite the guidance shortfall, Tan reiterated that AI demand remains "insatiable" and reaffirmed the long-term target of exceeding $100B in AI revenue by FY27. The reaction highlights the heightened sensitivity and premium valuation placed on AI-exposed stocks, where anything less than stellar guidance can prompt significant profit-taking. The broader question is whether this represents a cooling AI narrative or a correction in overstretched valuations.

marsbit06/04 04:47

Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

marsbit06/04 04:47

AMD Stock Price Forecast 2026 to 2030: Wall Street Signals a Major $657 Target!

AMD's stock has seen a dramatic rally, rising over 130% year-to-date to around $510 as of mid-2026. This surge is driven by a fundamental shift in the company's business, with its Data Center segment now the core contributor, posting a record $5.8 billion in Q1 2026 revenue (up 57% YoY) and exceeding 50% of total revenue for the first time. CEO Dr. Lisa Su raised the long-term server CPU Total Addressable Market (TAM) forecast to over $120 billion annually by 2030. Analyst sentiment is bullish. The consensus rating is a "Strong Buy" with a 12-month average price target of $472.17, though several firms have recently set higher targets, with Barclays issuing a street-high target of $665. Long-term models project a 2030 price range of approximately $493 to $822, with a baseline scenario near $657, anchored to AMD's expanded TAM guidance. Key growth catalysts include strong demand for EPYC server CPUs and Instinct AI GPUs, partnerships with OpenAI and Meta, and the upcoming MI450 series and Helios rack-scale platform. However, significant risks remain, including a high forward P/E ratio exceeding 169x and increased competition, notably from NVIDIA's planned entry into the server CPU market. Investors must weigh the strong execution and growth trajectory against these substantial valuation and competitive pressures.

marsbit06/02 13:12

AMD Stock Price Forecast 2026 to 2030: Wall Street Signals a Major $657 Target!

marsbit06/02 13:12

DAT Failing? Listed Companies Betting on HYPE Have Floating Profits of $12.5 Billion

Facing a potential need to sell Bitcoin to pay dividends amid a $12.5B quarterly net loss, the crypto treasury strategy pioneered by Strategy appears strained. In contrast, public companies that adopted a similar strategy by betting on the HYPE token are seeing massive gains, with collective unrealized profits exceeding $1.25 billion. Three key HYPE treasury companies are highlighted: 1. **Hyperliquid Strategies Inc. (PURR):** The largest holder, with approximately 22.3 million HYPE tokens valued at ~$1.636 billion, resulting in ~$1.22 billion in unrealized gains. It has fully transitioned from a biotech firm to a native crypto treasury, focusing on staking and ecosystem participation via validator operations. 2. **Hyperion DeFi (HYPD):** Holds about 2 million HYPE tokens (~$147M value) with ~$49.4M in gains. It is deeply integrated into the Hyperliquid ecosystem, running a top validator node and building DeFi products to generate additional yield. 3. **Lion Group Holding (LGHL):** A smaller player holding ~193,775 HYPE tokens (~$14.14M value), maintaining a long-term holding strategy alongside other crypto assets. The article argues that HYPE treasuries have an advantage over Bitcoin-based ones like Strategy's. Their success stems not just from price appreciation but from active on-chain participation—staking, earning validator rewards, and engaging with ecosystem protocols—creating a compounding "flywheel" effect. With Hyperliquid dominating the on-chain perpetuals market and HYPE's tokenomics encouraging buys and burns, these treasuries are positioned to benefit further if HYPE's price rises as some predict. While the original Bitcoin treasury strategy isn't declared a failure, the current narrative highlights the outsized success of early movers into the HYPE ecosystem.

Odaily星球日报06/01 09:20

DAT Failing? Listed Companies Betting on HYPE Have Floating Profits of $12.5 Billion

Odaily星球日报06/01 09:20

Snowflake's stock price surges 33%, AI infrastructure expands from chips to the data layer

Snowflake's stock surged over 33% after the company raised its full-year revenue forecast and announced a $6 billion, five-year partnership with AWS. This agreement, which secures AWS Graviton chip supply, underscores Snowflake's evolving role in the AI infrastructure landscape. The market's reaction reflects a reassessment of data platforms as critical enablers for enterprise AI adoption. As companies move beyond conceptual AI to building operational, data-integrated AI workflows, demand for robust data storage, processing, and analysis capabilities is increasing. The deal strengthens AWS's custom chip ecosystem while positioning Snowflake not just as a data warehouse, but as a key data layer for deploying and managing AI applications. Analysts have rapidly revised their valuations upwards, signaling a shift in sentiment where proven AI-driven revenue growth is now commanding premium multiples.

marsbit05/29 19:09

Snowflake's stock price surges 33%, AI infrastructure expands from chips to the data layer

marsbit05/29 19:09

Dell's "Dual Comeback": The Political AI Narrative of an Aging Server Company

Dell's "Dual Comeback": The Political AI Narrative of an Old-Server Giant In mid-2026, Dell's stock price soared over 10x from its 2022 lows, fueled by a powerful convergence of AI business resurgence and political alignment. Wall Street's narrative centers on a fundamental business shift. Dell's explosive growth is driven by the enterprise "on-prem AI" server market, where companies like Eli Lilly and Honeywell prefer running AI workloads on their own infrastructure rather than in public clouds. This plays directly to Dell's historic strengths in selling integrated IT solutions to corporate clients. While AI server sales have compressed overall毛利率 due to the high cost of NVIDIA GPUs, the market now values the massive absolute dollar profits and, crucially, the high-margin attach sales of Dell's storage, networking, and multi-year service contracts attached to each server sale. Simultaneously, a distinct political narrative unfolded. Following a record $6.25 billion donation by Michael Dell to a Trump-endorsed initiative in late 2025, President Trump publicly urged Americans to "buy a Dell" in May 2026. Shortly after, Dell secured a massive $9.7 billion Pentagon IT contract. This sequence established a new "political alpha" factor, where presidential endorsement and federal contracts became key valuation drivers. The current stock price significantly exceeds traditional financial models and even the most bullish analyst targets, suggesting the market is pricing in both stories simultaneously: the AI growth trajectory and the expectation of sustained political favor and government contracts. Dell epitomizes a new era where a company's value is tied as much to its CEO's political calendar as to its balance sheet, blending technological disruption with Washington influence. The key question for investors is which "Dell" they are buying, and when the other narrative might unwind.

marsbit05/29 08:12

Dell's "Dual Comeback": The Political AI Narrative of an Aging Server Company

marsbit05/29 08:12

Dell Soars, Which Stocks Will This Wave of AI Sentiment Spread To?

Dell's stock surged in after-hours trading after the company reported a strong earnings beat and significantly raised its full-year guidance, driven by soaring demand for AI-optimized servers. First-quarter revenue jumped 88% to $43.84 billion, far exceeding expectations. The company increased its fiscal 2027 AI server revenue forecast from $50 billion to approximately $60 billion, citing intense demand from clients like CoreWeave and tech giants Alphabet and Amazon who are making massive AI infrastructure investments. This indicates the AI boom is expanding beyond chips and models to downstream hardware and data center infrastructure providers. Dell's infrastructure unit, which includes servers and storage, saw revenue grow 181%. The company also announced a $9.7 billion U.S. Department of Defense contract, boosting confidence in its order pipeline. Dell's performance highlights its position as a key beneficiary in the AI supply chain, leveraging its scale, supplier relationships, and ability to navigate component shortages.

marsbit05/29 04:57

Dell Soars, Which Stocks Will This Wave of AI Sentiment Spread To?

marsbit05/29 04:57

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

Marvell Technology, a leading player in custom AI chips and data center connectivity, reported record revenue for its fiscal Q1 2027, driven by explosive demand in its data center business. Revenue reached $2.418 billion, slightly surpassing expectations, though GAAP net income fell year-over-year due to acquisition-related costs. Crucially, data center revenue hit $1.83 billion, making up 76% of the total and growing 27% YoY. The company significantly raised its full-year and next-year guidance, citing "exceptionally strong AI-related orders." Revenue is now projected at ~$11.5 billion for FY2027 and ~$16.5 billion for FY2028. CEO Matt Murphy emphasized that growth in the data center segment is accelerating. The AI Interconnect business, now expected to grow over 70% annually, saw its forecast lifted again due to rising network demands in complex AI models. Additionally, Marvell's custom chip (XPU) business is on a steep growth path, with FY2028 revenue anticipated to double and a target of over $10 billion by FY2029. The company also expanded its strategic collaboration with NVIDIA, focusing on silicon photonics, system integration, and AI-RAN solutions. To secure supply for surging demand, Marvell plans about $1 billion in supplier prepayments this fiscal year, highlighting its long-term capacity planning. Despite the strong results, the stock dipped slightly in after-hours trading.

marsbit05/28 04:09

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

marsbit05/28 04:09

NVIDIA's Q1 Performance is Solid, Vera CPU Drives Future Increment

NVIDIA reported solid Q1 FY2027 results and Q2 guidance, largely meeting optimistic investor expectations. Revenue reached $81.62 billion, up 85% year-over-year, with adjusted EPS of $1.87 beating estimates. The company re-segmented its business, highlighting Data Center as the core growth driver, with Hyperscale revenue surging 115%. The most significant new information was the unveiling of the Vera CPU, targeting a new $200 billion market for Agentic AI. It can be sold alongside Rubin GPUs or independently, with production starting in Q3. Management reaffirmed the $1 trillion revenue target for the Blackwell and Rubin platforms through 2027. Q2 revenue guidance of approximately $91 billion aligns with expectations. However, the announcement of a new $80 billion share buyback authorization and a raised dividend, while positive, fell slightly short of some investors' hopes for a larger repurchase plan.

marsbit05/21 02:20

NVIDIA's Q1 Performance is Solid, Vera CPU Drives Future Increment

marsbit05/21 02:20

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