To The Moon

Has the Magnificent Seven’s rally run out of steam in 2026? NVDA and META are sliding—and now trading at attractive forward P/E ratios!

Do you see this as a buying opportunity for AI leaders, or are you worried about further declines? Are you team NVIDIA (AI infrastructure king) or team Meta (AI monetization master)?

Share your take on whether these tech giants are worth adding to your portfolio now!

The start of 2026 has brought an unexpected chill to the US stock market. The "Magnificent Seven"—the seven tech giants once revered by investors: NVIDIA, Alphabet, Apple, Microsoft, Amazon, Meta Platforms, and Tesla—have collectively lost momentum so far this year, with their stock prices trending downward.

For long-term investors, short-term pullbacks of leading stocks often present a window to reassess positions and identify undervalued opportunities. Among these seven companies, NVIDIA (NVDA) and Meta Platforms (META) have emerged as market focal points due to their unique valuation logic and AI business layouts. This article will analyze the current investment value of these two star growth stocks from the perspective of a key valuation metric: forward price-to-earnings (P/E) ratio.

Forward P/E Ratio: Why This Metric Matters Now

The P/E ratio is one of the most commonly used tools for evaluating stocks, directly reflecting the ratio of stock price to a company’s profitability. The forward P/E ratio takes it a step further by combining the stock price with analysts’ forecasts for earnings per share (EPS) over the next year, providing investors with a "telescope" to look beyond current uncertainties toward the future.

A company’s ability to effectively allocate capital and drive accelerated profit growth is crucial to justifying a high valuation. For example, while Coca-Cola can expand its market, its growth leverage pales in comparison to Amazon, which spans multiple industries. The value of NVIDIA and Meta lies precisely in their strong future profit potential. For instance, NVIDIA currently has a trailing P/E ratio of 37.2x, higher than the S&P 500’s 29.6x, but its forward P/E ratio is only 22.1x—even lower than the S&P 500’s 23.6x. Similarly, Meta Platforms’ valuation based on forward earnings is slightly below the market average.

Of course, the forward P/E ratio is not foolproof. If a company’s future financial results fall short of expectations, this metric will expand rapidly. However, for investors planning to hold long-term, a company’s profit trajectory over the next several years is far more decisive than current data.

$NVIDIA(NVDA)$ : The King of AI Infrastructure, Opportunities Amid Volatility

For investors who believe NVIDIA can maintain or even approach its current profit growth rate, it is undoubtedly the most attractive target among the "Magnificent Seven." For the fiscal year ending January 25, 2026, NVIDIA achieved 65% revenue growth and 59.5% EPS growth. It is this rocket-like profit surge that has absorbed the rising stock price, keeping valuations within a reasonable range.

Nevertheless, risks cannot be ignored. Over half of NVIDIA’s data center revenue (which accounts for nearly 90% of its total revenue) comes from only a handful of cloud service providers and hyperscale enterprises. If core customers (such as Amazon, Microsoft, and Alphabet) cut capital expenditures due to budget adjustments, NVIDIA’s growth rate will face severe pressure.

But precisely because of this, the current pullback offers a rare margin of safety. Even if future growth slows to 20%-30%, buying NVIDIA at current prices can be described as "snagging a bargain." Looking ahead, NVIDIA is actively deploying Agentic AI and Physical AI (general robotics and autonomous driving), with a long-term vision of reducing over-reliance on data center revenue and building a more diversified customer base. Once this transformation succeeds, NVIDIA will significantly enhance its ability to withstand cyclical fluctuations.

$Meta Platforms, Inc.(META)$ : The Snowball Effect of AI Monetization, Resilience with Flexibility

If NVIDIA represents the future of AI infrastructure, then Meta embodies the ongoing monetization of AI applications. Unlike peers such as Amazon and Microsoft, which are still investing heavily in data center construction and enduring cash flow pressures, Meta has taken the lead in forging a positive cycle of "investing in AI—enhancing business—boosting profits—reinvesting in R&D."

Meta’s AI strategy has been deeply integrated into its core business. By using AI algorithms to optimize the matching efficiency between users, creators, and advertisers, the stickiness and ad monetization capabilities of its app family (Instagram, Facebook, Messenger, WhatsApp) continue to strengthen. The open-source large language model Llama-driven Meta AI assistant directly demonstrates how technology empowers user experience. Meta’s greatest moat lies in the extremely high profitability of its core ad business, which is sufficient to support bold bets in AI. This "AI snowball effect" is accelerating: AI investments optimize the ad business, generating high growth and free cash flow, which are then reinvested in future-oriented projects like Reality Labs—initiatives that may take years to turn a profit, and even tolerate partial failures.

For investors seeking certainty, Meta’s model of "earning money now while betting on the future" is particularly resilient in the current market environment.

Conclusion: Two AI Narratives, Two Buying Logics

In summary, NVIDIA and Meta represent two distinct AI investment narratives. NVIDIA is betting on the sustained explosion of AI computing demand and its ability to expand from data centers to the broader physical world. Its stock price is highly volatile, but the potential return upside is enormous. Meta, on the other hand, offers a more grounded perspective, showing how tech giants can quickly translate AI technology into commercial profits. Stable cash flow and a relatively low valuation form a solid value foundation.

As stock prices fall further, these two stocks are stripping more and more risks from long-term investors’ portfolios. For those who believe AI will reshape the world, this pullback in March 2026 may be an excellent opportunity to position themselves in these high-conviction companies.

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