24 years ago, Nvidia replaced Enron in the S&P 500...
Similar to last year anniversary, it seems that some investors see this as an ominous sign...
Nvidia $NVDA said sales to just its number one largest customer represented 22% of its total $57 Billion of revenue during Q3
That means someone spent $12.5 Billion with Nvidia during the quarter 🤯 61% of Nvidia $NVDA Q3 revenue came from just 4 customers: $12.54B – Customer A (22%) $8.55B – Customer B (15%) $7.41B – Customer C (13%) $6.27B – Customer D (11%) So who are A, B, C, D in your view ??? Source: Wall St Engine on X, Evan on X
Nvidia $NVDA saves humanity again with blowout earnings... 🚀
Q3 REV: $57.01B vs $55.19B exp. Q3 EPS: $1.30 vs $1.25 exp Q4 REV: $63.7B TO $66.3B vs $62B exp “Blackwell sales are off the charts, and cloud GPUs are sold out.” — Jensen Huang, Q3 FY26 earnings release (Nov 19, 2025) $NVDA is up +6% after-hours... The market is saved
$NVDA NVIDIA Q3 FY26 (October quarter).
• Revenue +62% Y/Y to $57B ($1.9B beat). • Operating margin 63% (+1pp Y/Y). • Non-GAAP EPS $1.30 ($0.04 beat). Q4 FY26 guidance: • Revenue $65B ($3.2B beat). Source: App Economy Insights @EconomyApp
🔥 3 Bullish Signals from NVIDIA’s Earnings Call Last Night — and why the AI trade is far from over.
Most CEOs play it safe on earnings calls. Jensen Huang did the opposite. Here are the 3 comments everyone in tech, AI, and markets should pay attention to: 🚀 1. “No AI Bubble” — Just Three Structural Shifts 1️⃣ The migration from CPU ➝ accelerated computing 2️⃣ Generative AI hitting a tipping point across every workload 3️⃣ The rise of agentic AI All three require massive infrastructure builds. And the kicker? Inference demand is exploding — and is set to become a major revenue engine for NVIDIA. 💰 2. “Funding Is NOT the Problem” Worried customers are running out of capital? NVIDIA is not. Hyperscalers are already monetizing AI, sovereign buying is ramping, and agentic AI opens entirely new revenue pools. Translation: the money is there, and it's accelerating. 🧠 3. “The Ecosystem Is the Moat” This one flew under the radar but is HUGE. The CFO pointed out: A100 GPUs from SIX years ago are still fully utilized — thanks to the Kuda software stack. It means: Longer useful life for GPUs Better ROI on datacenter capex A deeper, stickier NVIDIA ecosystem Plus, NVIDIA is expanding partnerships across enterprise platforms and top AI developers. 📈 Bottom Line This was a monster print: ✔ Strong results ✔ Confident guidance ✔ Constructive multi-year outlook After-hours? NVIDIA popped ~5%, and AI-related names rallied across the board. 📊 Valuation Check (Yes, Really) NVIDIA’s stock has actually de-rated lately — earnings kept growing, the share price didn’t. And now with Q4 guidance out, investors will pivot to 2026–2027. Here’s the jaw-dropper: ➡️ Using 2027 FactSet consensus, NVIDIA trades at 21× P/E. Twenty. One. Times. Earnings. For the company powering the entire AI revolution. 🔮 The Broader Message The AI trade is alive. Healthy. And nowhere near done.
➡️ Over the past eleven releases since ChatGPT launched, NVDA’s massive 10x rally hasn’t come from earnings-day pops:
Day-after and week-after moves have typically lagged, while the month before earnings has usually been the strong stretch. ➡️This quarter breaks that pattern, NVDA is flat heading into results, with recent earnings cycles showing weaker immediate reactions and stronger rallies later in the quarter. Source: The Market Ear, DB
$NVDA NVIDIA Data Center literally off the charts.
Source: App Economy Insights
Is this really sustainable? We will find out more later today
Source: Markets & Mayhem @Mayhem4Markets
