Waldron Private Wealth LLC grew its position in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 41.7% during the 4th quarter, according to the company in its most recent filing with the Securities & Exchange Commission. The institutional investor owned 59,254 shares of the computer hardware maker’s stock after buying an additional 17,446 shares during the quarter. Waldron Private Wealth LLC’s holdings in NVIDIA were worth $11,051,000 as of its most recent filing with the Securities & Exchange Commission.
Several other institutional investors also recently modified their holdings of NVDA. Winnow Wealth LLC purchased a new position in NVIDIA in the second quarter worth $32,000. Longfellow Investment Management Co. LLC raised its stake in shares of NVIDIA by 47.9% during the 2nd quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock worth $33,000 after purchasing an additional 67 shares during the period. Spurstone Advisory Services LLC bought a new position in NVIDIA during the second quarter valued at about $40,000. Sellwood Investment Partners LLC purchased a new stake in NVIDIA during the third quarter worth about $50,000. Finally, EDENTREE ASSET MANAGEMENT Ltd bought a new stake in NVIDIA in the second quarter worth about $54,000. 65.27% of the stock is owned by institutional investors.
Analyst Upgrades and Downgrades
A number of research firms recently commented on NVDA. Truist Financial lifted their price target on shares of NVIDIA from $283.00 to $287.00 and gave the stock a “buy” rating in a report on Wednesday, March 18th. HSBC set a $310.00 target price on NVIDIA in a research report on Tuesday, February 24th. Citigroup upped their price target on NVIDIA from $270.00 to $300.00 and gave the company a “buy” rating in a research report on Thursday, February 26th. Fundamental Research set a $218.00 price target on NVIDIA in a research note on Thursday, February 26th. Finally, KeyCorp restated an “overweight” rating and issued a $275.00 price objective on shares of NVIDIA in a research note on Tuesday, March 17th. Four investment analysts have rated the stock with a Strong Buy rating, forty-seven have assigned a Buy rating and two have issued a Hold rating to the company’s stock. According to data from MarketBeat.com, the stock currently has an average rating of “Buy” and an average price target of $275.25.
NVIDIA Price Performance
Shares of NASDAQ NVDA opened at $177.39 on Monday. The company has a debt-to-equity ratio of 0.05, a quick ratio of 3.24 and a current ratio of 3.91. NVIDIA Corporation has a fifty-two week low of $86.62 and a fifty-two week high of $212.19. The stock has a market cap of $4.31 trillion, a PE ratio of 36.20, a price-to-earnings-growth ratio of 0.59 and a beta of 2.34. The stock has a fifty day moving average of $182.41 and a 200-day moving average of $184.33.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its quarterly earnings data on Wednesday, February 25th. The computer hardware maker reported $1.62 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $1.54 by $0.08. NVIDIA had a return on equity of 97.37% and a net margin of 55.60%.The business had revenue of $68.13 billion for the quarter, compared to analysts’ expectations of $65.56 billion. During the same quarter in the prior year, the firm posted $0.89 EPS. The firm’s quarterly revenue was up 73.2% on a year-over-year basis. Equities research analysts anticipate that NVIDIA Corporation will post 2.77 earnings per share for the current year.
NVIDIA Dividend Announcement
The company also recently disclosed a quarterly dividend, which was paid on Wednesday, April 1st. Investors of record on Wednesday, March 11th were paid a dividend of $0.01 per share. The ex-dividend date of this dividend was Wednesday, March 11th. This represents a $0.04 annualized dividend and a yield of 0.0%. NVIDIA’s payout ratio is currently 0.82%.
Key NVIDIA News
Here are the key news stories impacting NVIDIA this week:
- Positive Sentiment: Analysts and research pieces highlight huge AI order visibility (roughly US$1T of AI-related demand through 2027) and only a trivial tweak to a fair-value model, reinforcing the long-term revenue runway for Nvidia’s data-center GPUs and software. How The Nvidia (NVDA) Narrative Is Shifting With US$1t AI Orders And Valuation Debates
- Positive Sentiment: Foxconn reported a near-30% revenue jump in Q1 driven by strong AI-related demand — a supplier-level signal that hyperscale server and GPU demand (a core revenue driver for Nvidia) remains robust. Foxconn first-quarter revenue jumps 30% y/y
- Positive Sentiment: Post-GTC coverage and several opinion pieces reiterate Nvidia’s aggressive growth targets (ambitious revenue goals, continued centrality to AI stack), which supports a bullish long-term case. Were You Wrong to Sell Nvidia? Here’s What GTC 2026 Revealed About the Next 2 Years.
- Positive Sentiment: High-profile endorsements (e.g., Jim Cramer saying Nvidia deserves a premium P/E) could support multiple expansion if sentiment improves. Jim Cramer Says “NVIDIA Deserves a Premium Price-to-Earnings Multiple”
- Neutral Sentiment: Coverage of the AI data-center buildout notes increasing use of private credit and insurance stress — this validates demand for GPUs but also flags financing and execution risks across the ecosystem. AI data center boom ‘stress tests’ insurers as private capital floods in
- Neutral Sentiment: A top-ranked Nvidia AI engineer has left to become a Chief AI Officer at a storage operator — notable talent movement but not material to Nvidia’s product roadmap or sales. 10 Federal Taps Top-Ranked Nvidia AI Engineer to Fill Self-Storage Industry’s First Chief AI Officer Role
- Negative Sentiment: Some analysts and independent commentators are turning cautious — one shop recommends selling Nvidia in favor of Broadcom, citing competitive and capital-allocation concerns, which can pressure sentiment and shares. Nvidia Stock vs. Broadcom Stock: A Wall Street Analyst Says Buy One and Sell the Other
- Negative Sentiment: Speculative technical calls and bearish forecasts (e.g., a trading expert projecting a sharp drop to ~$110) amplify volatility risk and could accelerate selling if momentum shifts. Trading expert sets date when Nvidia stock will crash to $110
Insider Activity at NVIDIA
In other news, EVP Ajay K. Puri sold 300,000 shares of the company’s stock in a transaction on Wednesday, March 18th. The shares were sold at an average price of $182.25, for a total value of $54,675,000.00. Following the transaction, the executive vice president owned 3,018,547 shares of the company’s stock, valued at approximately $550,130,190.75. This represents a 9.04% decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which can be accessed through the SEC website. Also, CFO Colette Kress sold 42,650 shares of NVIDIA stock in a transaction on Friday, March 20th. The shares were sold at an average price of $174.89, for a total value of $7,459,058.50. Following the sale, the chief financial officer directly owned 881,387 shares of the company’s stock, valued at $154,145,772.43. This represents a 4.62% decrease in their position. The disclosure for this sale is available in the SEC filing. Over the last 90 days, insiders sold 1,401,616 shares of company stock valued at $253,555,407. Corporate insiders own 4.17% of the company’s stock.
About NVIDIA
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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