Nvidia's Q2 Revenue Beats Expectations, Drops 5% in After-Hours Trading; Bitcoin Slides 1.25%, briefly dipping below $111,000
BlockBeats News, August 28th, NVIDIA (NVDA.O) reported a revenue of $46.7 billion for the second quarter of its 2026 fiscal year, beating market expectations of $46 billion. Additionally, the company approved an additional $60 billion stock repurchase. NVIDIA provided a flat outlook for the third quarter revenue at $54 billion, fluctuating up or down by 2%, compared to market expectations of $53.46 billion. This has raised concerns in the market about the slowdown in the high spending growth rate in the field of artificial intelligence.
After the financial report was released, NVIDIA's stock initially fell by 5% in after-hours trading, now down by 3.14%. This situation is a common occurrence during "NVIDIA Earnings Nights," where market participants typically speculate based on earnings expectations. This can lead to pre-market and intraday price increases based on expectations, followed by a decline if the results are below expectations. A slight outperformance is seen as "profit-taking," which also leads to a price drop.
Due to the decline in NVIDIA's stock price, Bitcoin fell by 1.25%, briefly dropping below $111,000, and is now trading at $111,405. Ethereum (ETH) briefly dropped to $4,482 and is now at $4,513, showing some relative weakness compared to Bitcoin.
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.