NASDAQ
213.90USD
+1.73 (+0.82%)
We have scored 106 news catalysts on NVIDIA Corporation (NVDA) over the past 12 months. The biggest single-day move next to one of them came Oct 11, 2025, when NVDA closed −4.9%: “Tesla, GM, and Volkswagen Are in Trouble Now”. Coverage across the window leans positive (average ticker sentiment +0.18). Most of the impact sits in sector technology and forward growth expectations.
Dots are scored news catalysts — size = impact, color = sentiment. Tap one to read it.
Market cap
5.2T
P/E
—
EPS
—
Beta
2.22
52W range
164.27-236.54
Day range
212.50–216.76
Open
214.14
Prev close
212.17
Volume
96.1M
Avg volume
143.2M
Dividend
0.28
IPO
1999-01-22
Analysts publish price targets on NVDA, and they disagree. Where the share price actually sits among them shows which of their arguments the market is buying — and which it is ignoring.
48 analyst price targets from $265 to $515
as of 2026-09-01
The market is 31% below the median target — more cautious than the analysts.
The reconstruction
Daily OHLCV with SMA overlays and session pivots. Draw your levels and trendlines on it, or ask the AI analyst what the price is reacting to.
Suppliers, customers, partners and competitors, derived from what the news actually says about NVIDIA Corporation — not a sector bucket. Click an edge to see the articles that established the link.
Suppliers, customers, partners and competitors of NVIDIA Corporation, taken from what the news actually said about them rather than from a sector bucket. The count is how many articles established each link.
Latest scored catalyst for NVDA: .
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NVIDIA Corporation stands as a prominent provider of advanced graphics, computational, and networking solutions, operating across the United States, Taiwan, China, and numerous international markets. Its Graphics division encompasses GeForce GPUs, central to PC gaming and personal computing experiences, along with the GeForce NOW cloud gaming service and its supporting infrastructure, as well as dedicated solutions for various gaming platforms. For professional visualization, it provides Quadro and NVIDIA RTX GPUs for enterprise workstations, further offering vGPU software designed for cloud-centric visual and virtual computing, automotive platforms for in-vehicle infotainment, and the Omniverse software suite, facilitating 3D design and virtual world creation. The Compute & Networking segment is a cornerstone for AI, high-performance computing (HPC), and accelerated data center platforms. It integrates Mellanox networking and interconnect solutions, delivers automotive AI Cockpit technologies, fosters autonomous driving development through strategic agreements, and offers comprehensive autonomous vehicle solutions. This segment also manufactures cryptocurrency mining processors, supplies Jetson platforms for robotics and other embedded applications, and offers enterprise AI software, including NVIDIA AI Enterprise. These diverse offerings find widespread application across the gaming, professional visualization, data center, and automotive sectors. NVIDIA distributes its portfolio through a broad ecosystem, engaging original equipment and device manufacturers, system integrators, add-in board makers, retail channels, software vendors, internet and cloud service providers, automotive companies (both manufacturers and tier-1 suppliers), mapping firms, nascent technology ventures, and other industry stakeholders. A notable strategic partnership exists with Kroger Co. Founded in 1993, NVIDIA Corporation maintains its corporate headquarters in Santa Clara, California.
The price sits at the very bottom of 48 published models, 31% below the median target of $315, meaning the market has heard the bull case for surging AI demand but is refusing to pay for it.
What the disagreement turns on
Does the $1 trillion Blackwell/Rubin revenue projection and the $40 billion-per-gigawatt revenue escalation actually convert into fulfilled orders, and the wired data cannot settle this because it cannot measure hyperscaler capital commitments.
The price pays for
It declines to pay for
Written by a language model from the published models, the reported segments and a reverse-DCF — not a recommendation, and not a house view.
Claim by claim
