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Here are Thursday's biggest analyst calls: Nvidia, Anthropic, Apple, Tesla, Chevron, Microsoft, Alphabet & more

Source: CNBC

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Analyst InsightsCorporate EarningsArtificial IntelligenceCompany FundamentalsCorporate Guidance & OutlookHealthcare & BiotechEnergy Markets & Prices
Here are Thursday's biggest analyst calls: Nvidia, Anthropic, Apple, Tesla, Chevron, Microsoft, Alphabet & more

Thursday’s analyst calls were broadly constructive, with upgrades or buy/overweight reiterations across companies including Microsoft, Palantir, Tesla, and several financial firms. Bank of America raised its Microsoft price target to $630 from $600, citing Azure growth of 48% year over year and guidance of 49%–50%; JPMorgan set a $262 December 2027 target for Palantir, implying over 30% upside to recent levels. The calls were not uniformly positive: Citizens downgraded Alphabet after search growth slowed by about 5 points from Q2 to Q3, while JPMorgan highlighted disappointing results and negative free cash flow.

Analysis

The actionable signal is dispersion within mega-cap AI, not the aggregate bullish tone. Microsoft’s cloud momentum, if confirmed in reported bookings and cloud margins, contrasts with Alphabet’s more exposed question: whether AI infrastructure spending can be monetized without weakening search economics or free cash flow. That creates a relative-earnings trade, but one sell-side downgrade is not proof of a durable slowdown; verify Alphabet’s next search growth and cash-flow disclosures before sizing.

The AI financing theme also cuts both ways. Capital assembled across customers, investors, and suppliers can sustain near-term demand for NVIDIA and other compute vendors, while making eventual orders more sensitive to funding access and customer concentration. Treat the demand signal as less robust than equivalent spend funded from recurring operating cash flow. Oracle’s emphasis on funding and a path to positive FCF is relevant evidence to monitor, not independent validation.

Immediate reactions to initiations and target changes are likely to be positioning-driven. Over 1–3 months, earnings revisions and cash conversion matter more than rating labels; over 6–18 months, AI monetization versus infrastructure burden should separate platforms. The rest of the calls—especially early-stage biotech, geothermal execution, and analyst-led rerating cases—lack enough operating or valuation detail here for a high-conviction trade. Broadly positive sentiment is not itself a catalyst.

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Market Sentiment

Overall Sentiment

mildly positive

Sentiment Score

0.20

Ticker Sentiment

AAPL0.55
ABSI0.35
AFYA0.55
CSTM0.55
CVNA0.65
CVX0.60
FRVO0.55
GOOG-0.45
KARD0.35
MSFT0.70
NOW0.10
NVDA0.15
ORA0.55
ORCL0.50
PB0.55
PLTR0.55
RBRK0.55
TSLA0.55
WTFC0.55

Key Decisions for Investors

  • Relative-value watch/trade: consider long MSFT versus short GOOG, sized as an earnings-dispersion position rather than a broad AI bet. Enter only if revisions continue to favor Microsoft and Alphabet’s next results show further search deceleration or weak cash conversion. Falsify on Alphabet search reacceleration with improving FCF, or Microsoft cloud growth/margins disappointing; cap exposure around the next earnings releases.
  • Keep NVDA exposure conditional on funding quality, not just announced compute commitments. Track customer concentration, payment terms, and whether orders translate into recognized revenue and cash receipts. Reduce the thesis if customer financing or project delays appear, or if receivables/cash conversion weaken relative to sales.
  • Do not chase the analyst-driven moves in NOW, PLTR, RBRK, CVNA, or the newly covered energy and biotech names on this evidence alone. Put them on a 1–3 month watchlist for organic growth, estimate revisions, unit economics, and funding/execution milestones; initiate only after those are independently visible.
  • Treat positive single-firm calls on ORCL and the bank names as low-conviction without updated balance-sheet, capital, and valuation data. For ORCL specifically, verify actual capex funding and free-cash-flow delivery against guidance; a material shortfall would challenge the AI infrastructure thesis.

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