Análisis de la acción Nasdaq Inc (NDAQ)NDAQNasdaq Inc

🤖 Anthropic's IPO filing is sparking discussion | Post to claim a red packet; weekly leaderboard champion prize: 100 USDT! Gate Square's "Weekly Show and Share" hot topic event is underway! 🎁 Event rewards New users posting: 100% chance to claim a red packet Weekly leaderboard rewards: win up to 100 USDT 📌 How to participate 1️⃣ Sign up for the event 👉 2️⃣ Add the hashtags #WeeklyShowAndShare and #AnthropicFilesForUSIPO and share your views 💬 This week's topic Reports say Anthropic has submitted an S-1 registration statement to the US SEC and plans to list on Nasdaq under the ticker $ANT. As AI companies accelerate their push into capital markets, what do you think the market will focus on most after Anthropic's IPO: growth potential, profitability, or the outlook for AI commercialization? 👉 Post now:

#WeeklyPost #AnthropicFilesForUSIPO After Anthropic's IPO, growth will make the headlines, but profitability will determine the stock price. Anthropic's S-1 filing (ticker ANT, Nasdaq) presents three numbers side by side: first-half revenue of $16.3 billion, a net loss of $80.7 billion, and a reported valuation of $1.5 trillion to $2 trillion. The company reportedly plans to list in the week of November 16, with the price range and share count still undisclosed. My read on this listing is that in the first few days the market will focus on growth, but profitability will determine where the stock price ultimately settles. Commercialization is the evidence connecting the two. Growth: already priced in First-half revenue was $16.29 billion, compared with $1.16 billion a year earlier. Q2 revenue was $11.56 billion, and Anthropic told investors Q3 revenue reached $16.8 billion. That performance is impressive, but sequential growth slowed from about 144% in Q2 to 45% in Q3. At a $1.5 trillion to $2 trillion valuation, that is roughly 22 to 30 times annualized Q3 revenue. The previous private round closed in May at a $965 billion valuation. When the valuation already reflects extraordinary growth expectations, the market stops rewarding growth itself and starts asking what that growth costs. Profitability: numbers that need to be read correctly The $80.7 billion net loss includes about $72.4 billion in non-cash fair value losses on convertible notes. Operating loss was $693 million, while Q2 turned profitable with $974 million in operating income, an 8.4% margin. Operating cash flow was $3.93 billion, and liquidity stood at $131.7 billion. The real pressure comes from compute. First-half spending was close to $9 billion, about 55% of revenue; the filing shows at least $114.5 billion owed to Google, with obligations running through 2033, and another $110 billion owed to Amazon, with obligations running through 2036, payable regardless of usage. What determines whether these obligations are manageable will be margins, not revenue. Commercialization: the bridge between the two More than 11,900 customers spend at least $100,000 a year, including 1,900 spending $1 million or more and about 250 spending $10 million or more. Net revenue retention is reportedly close to 900%, meaning existing customers keep increasing their spending. This is the strongest evidence that AI revenue is recurring rather than a one-time experiment. But watch customer concentration: about 48% of first-half revenue came from the Amazon, Google, and Microsoft marketplaces. What the market will focus on first 1. The amended prospectus: price range, share count, October revenue run rate 2. Sequential growth after Q3's 45% growth rate 3. Operating margin once revenue growth outpaces compute growth 4. Whether free cash flow can cover fixed infrastructure commitments 5. Governance trade-offs: the founders hold 50.1% of voting power, and a long-term benefit trust elects a majority of the board. This arrangement protects the safety mission but limits the influence of public shareholders Broader market impact The filing lifted AI-related stocks on Monday. The semiconductor index rose 2.82%, Nvidia rose 2.39%, Broadcom rose 2.33%, and Arm rose 6.2%. The index is still down 12.2% this month, so the rebound reflects the market's hope that AI revenue can cover AI spending, not proof that it will. Growth will drive the initial trading, commercialization will support the narrative, and profitability will determine the long-term stock price. If revenue keeps growing strongly and operating margins keep expanding, the high valuation multiples may look reasonable. If compute commitments grow faster than revenue, even record growth may not support the valuation. #ANT #WCTCS9

#AnthropicFilesForUSIPO Public market investors will not view growth, losses, or profitability as isolated metrics; instead, the primary post-IPO focus will be on the unit economics of sustainable growth. Anthropic's S-1 filing shows revenue grew 14x in the first half to $16.3 billion, while recording $693 million in operating losses and carrying $518 billion in long-term compute commitments. This indicates that public market focus is shifting from the venture capital-style "growth at all costs" narrative to a rigorous examination of operating leverage. Losses and infrastructure spending: The S-1 reports first-half 2026 revenue of $16.3 billion, operating losses of $693 million, and net losses of $80.7 billion—most of which stems from non-cash valuation changes. Below are these factors ranked by long-term importance once ANT shares begin trading on Nasdaq: 1. AI revenue generation and net customer retention (the ultimate determinant) * Revenue is the primary metric determining Anthropic's valuation multiple. * Beyond API usage: Investors will closely examine revenue sources. Low-margin consumer subscriptions (such as the standard Claude Pro plan) will command lower valuation multiples than workflows deeply embedded in enterprise infrastructure and developer API usage. * Customer concentration and recurring revenue: The S-1 highlights concentration risk (for example, top enterprise customers contributing a substantial portion of revenue through a small number of long-term locked contracts). As competition among next-generation model providers intensifies, Wall Street will closely examine net revenue retention—which reflects whether customers' API usage increases year over year—as well as these companies' pricing power. 2. Capital expenditure and operating losses (structural pressure) * Headline net losses matter less than non-cancellable infrastructure obligations. * Accounting vs. cash reality: While headline net losses ($80.7 billion in the first half) are affected by non-cash fair value adjustments related to convertible bonds and SAFEs (simple agreements for future equity), the underlying operating metrics reveal the true picture. * The $518 billion compute bill: What risk-averse investors should truly worry about is not current operating losses but structural rigidity. Anthropic has committed over $500 billion to AWS, Google Cloud, and Microsoft, a substantial portion of which must be paid regardless of actual demand. * Gross margin after compute costs: The market will assess how quickly model inference costs decline relative to output pricing. If GPU/TPU compute costs represent a large share of revenue, public markets may redefine AI hyperscalers—no longer viewing them as high-margin software-as-a-service (SaaS) platforms, but more as low-margin cloud hosting service providers. 3. Revenue growth (baseline expectation) Growth is essential; ... it can sustain valuation multiples but cannot rescue a flawed business model. * Growth deceleration risk: The market has already priced high-speed growth into expected valuations of $1.5 trillion to $2 trillion. Any single quarter of unexpected growth decline—for example, demand flattening sequentially in Q3 and Q4—could trigger sharp stock price volatility. * Commoditization pressure: If frontier model capabilities stagnate, or open-source alternatives close the gap, enterprise CFOs will find it increasingly difficult to justify paying a premium for frontier AI, threatening the projected trajectory. My key question is: After deducting compute, chip, and cloud infrastructure costs, how much profitable growth can Anthropic achieve? If monetization improves, investors may tolerate substantial spending. If revenue grows but unit economics deteriorate, even impressive growth could disappoint the market. I will watch the following: AI monetization: Can Claude and Claude Code convert growing enterprise demand into recurring revenue and durable margins? Growth: Can revenue continue to grow rapidly enough to justify the IPO valuation? Key takeaways Anthropic is leading the market with revenue growth, but monetization quality (gross margin per query plus enterprise customer retention) and management of fixed compute obligations will determine whether the stock is viewed as a high-margin SaaS company (trading at more than 20x revenue) or a capital-intensive infrastructure investment. $META $TSLA $MU $SPCX

☀️ Good morning, the market has shifted gears. Are you ready to shift with it? The Nasdaq fell 2.6% in the previous trading session. BTC is currently around $81,500, and Brent crude is still near $113. Today, we are not guessing whether prices will go up or down. Let's talk about what you would adjust first. 🛡️ Positioning: stay the course or reduce risk? 🔎 Assets: keep watching the same assets or update your watchlist? ⏳ Timing: act according to plan or wait for a clearer signal? 🎁 Share your trading plan on Gate Square and receive a red packet reward for posting. Larger red packets will also drop randomly. 👇 Write down your next move:

Brent crude rises to $114, US stocks plunge, market faces multiple risks Brent crude hit $114 per barrel, its highest level since May. Meanwhile, reports say the US and Israel are planning to strike Iran again after the election. Trump said the US is no longer negotiating with Iran and accused Tehran of spreading reports of ships being attacked to push up oil prices. US stocks came under strong selling pressure, especially the AI sector. The Nasdaq fell 2.6%, its worst single-day performance since June. Nvidia's CEO said demand for AI infrastructure remains huge, but funding has not kept pace with investment. A serious vulnerability has also added to technology risks. PHP, a programming language widely used across various websites, is said to have a flaw that could allow hackers to breach servers without a password. The incident has raised concerns about cybersecurity, as AI is increasingly helping to discover and exploit vulnerabilities. Market focus: geopolitical tensions are driving oil prices higher, AI funding issues are weighing on tech stocks, and cybersecurity risks continue to rise. Investors need to watch the Iran situation, energy prices, and fund flows into the tech sector. Sources and data are based on the provided content.