MarketMoodz
Goldman Sachs names Nvidia among five compelling buys
Goldman Sachs has named Nvidia as one of five buy-rated stocks, highlighting a favorable risk-reward setup amid market volatility. The list blends Nvidia’s AI-cycle leadership with exposure to Teva, Philip Morris, S&P Global, and Apollo Global Management.
Key Takeaways
- Nvidia is named a buy by Goldman Sachs as part of a five-name list.
- Teva is up 8%+ year-to-date and its target is raised to $45 from $36.
- Philip Morris International is up about 18% year-to-date on its transformation toward faster growth.
- S&P Global is down roughly 22% year-to-date with a 2027 target cut to $498 from $555.
- Apollo Global Management trades at under 14x SBC-burdened 2027 depressed earnings.
People Involved
- No specific individuals mentioned
Entities Involved
- Nvidia Corp. (NVDA)AI hardware leader and AI-demand beneficiary
- Teva Pharmaceutical Industries Ltd.Generic and specialty pharma company
- Philip Morris International Inc.Tobacco company undergoing growth-driven transformation
- S&P Global Inc.Financial data, analytics, and ratings firm
- Apollo Global Management, Inc.Alternative asset manager and private markets sponsor
MarketMoodz Analysis
This call signals a diversified tilt toward AI-adjacent beneficiaries and non-traditional tech exposures, potentially offering upside with different risk drivers. Nvidia anchors the group as an AI-cycle leader, while Teva, PM, SPGI, and Apollo provide optionality from earnings leverage, pricing dynamics, data services margin expansion, and alternatives exposure.
Historically, bulge-bracket buy lists can foreshadow capital shifts into names with clear catalysts and favorable risk-reward profiles. The AI narrative has supported multiples for AI-related names, but price targets and forward earnings remain sensitive to demand signals, competition, and policy shifts. The inclusion of a pharma, a consumer-staples-like name, a data/ratings firm, and an asset manager reflects a broad attempt to balance growth, stability, and diversification as the AI cycle evolves.
Source: Original Article