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News articleYahoo Finance· March 2, 2026

NVIDIA and AST SpaceMobile have been highlighted as Zacks Bull and Bear of the Day

View original at finance.yahoo.com
NVIDIA and AST SpaceMobile have been highlighted as Zacks Bull and Bear of the Day For Immediate Release Chicago, IL – March 2, 2026 – Zacks Equity Research shares NVIDIA NVDA as the Bull of the Day and AST SpaceMobile ASTS as the Bear of the Day…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

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  • Q1 FY2027 guidance of $78 billion topline does not presume any sales to China

    80% confidence
  • I am raising my revenue estimate for NVIDIA this year to $375 billion

    80% confidence
  • I am confident in their cash flow growth because of agentic AI

    80% confidence
  • Vera Rubin systems will be shipping in the second half

    80% confidence
  • Hyperscaler capex is now seen at $700 billion this year and will sustain for years to hit $3-4 trillion opportunity by 2030

    80% confidence
  • NVIDIA's networking revenue acceleration to +263% is a strong signal for future data center demand

    80% confidence
  • What Jensen has planned with Groq and new architectures for memory and storage will likely blow our minds and decimate the competition

    80% confidence
  • Hyperscalers/CSPs are 50% of revenue, the other 50% is very diverse and growing including model makers, enterprises, super-computing science research at universities, and sovereign nation-states

    80% confidence
  • Six months from now the analyst sales forecast for NVIDIA would be over $325 billion

    80% confidence
  • Inference equals revenues. Agents are generating so many tokens, when coding agents generate thousands to hundreds of thousands of tokens running for minutes to hours

    80% confidence
  • Enterprise adoption of agents is skyrocketing. Our customers are racing to invest in AI compute — the factories powering the AI industrial revolution and their future growth

    80% confidence
  • NVIDIA emerges as the superior buy compared to Broadcom, thanks to its dominant data center leadership, lower debt and attractive valuation

    80% confidence
  • Tokens per watt translates directly to the revenues of the CSPs. Every CSP understands CapEx translates to compute, compute with the right architecture translates to maximizing revenues

    80% confidence
  • Without CUDA, we wouldn't know what to do with inference. NVLink 72 has enabled us to deliver generationally 50 times more performance per watt, 35 times performance per dollar

    80% confidence
  • Our single greatest lever is generational leaps in performance

    80% confidence

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What we're seeing
AI Capital Keeps Flowing as Enterprise Adoption and Government Contracts Validate the Bet
A late-August surge of nine-figure funding rounds (Socure, Stability AI, Generalist AI, Gatik, Regent Craft, Emerald AI, Owner) shows venture capital still pouring into AI infrastructure, identity/fintech, and autonomy, even as public-market sentiment stays jumpy — Palantir's stock fell 6% the same week it landed the Army's TITAN contract. UiPath's raised guidance and strong Q2 results, alongside efficiency breakthroughs like Multiverse Computing's model compression, point to real enterprise monetization catching up to the funding hype.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Where sources disagree
JPMorgan Chase & Co.
Both facts record the same attribute (net_income) for JPMorgan Chase & Co. in the identical fiscal period (Q1 2026) and observation date (2026-03-31), but report values that differ by approximately 1 billion times: $16,494,000,000 vs $16.49. These cannot both be true simultaneously. The discrepancy suggests either a unit mismatch (e.g., one is total net income, the other earnings per share mislabeled as net_income), a decimal point error, or data entry corruption. For the same entity, attribute, and time period, only one value can be correct.
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