Forward-looking Financial Report | Meta (META.US) delivers its first quarterly report after a billion-dollar AI gamble, as its monetization narrative faces scrutiny.

After-hours on April 29th (Thursday morning Beijing time), Meta (META.US) will release its financial results for the first quarter of the 2026 fiscal year. This will be the first complete financial report quarter after the company announced its AI capital expenditure plan of $115-135 billion, and it will be a crucial moment to determine whether Meta's current valuation logic can be sustained. On one hand, eMarketer's latest forecast shows that Meta is expected to surpass Alphabet Inc. Class C for the first time this year, taking the top spot in global digital advertising revenue. On the other hand, the soaring AI capital expenditure and increasing regulatory risks leave the outlook of this bold gamble uncertain. Meta's stock price has risen by approximately 13% in the past month, but it remains relatively flat year to date. Although the stock is currently trading at the upper end of its 52-week price range, its valuation is not considered excessively high; with a forward price-to-earnings ratio of 22 times, it aligns with historical data and industry levels. Financial Report Preview: Continuing the Miracle? The market has high expectations for this financial report: quarterly revenue is expected to be in the range of $55.3-55.4 billion, corresponding to a year-on-year growth of about 31-32% if achieved, this will be the first time since the digital advertising boom after the 2021 pandemic that Meta has returned to a quarterly revenue growth rate of over 30%. As for earnings per share, the market consensus is around $6.69, mainly influenced by the rapid expansion of capital expenditure eroding profits, with a year-on-year growth rate expected to slow to around 5%. Analyst Justin Post from Bank of America Securities has a more positive outlook, forecasting revenue of $56 billion and GAAP earnings per share of $7.44, both higher than market expectations. He estimates second-quarter revenue guidance to be between $57.5-60.5 billion. Full-year revenue for the 2026 fiscal year is expected to be around $250.7 billion, with earnings per share around $29.71. There is historical data support for the bullish outlook. Since Q4 2022, Meta has exceeded expectations for 12 consecutive quarters, with each round of surpassing being quite substantial the average revenue beat in the last five quarters has exceeded $1 billion. Given this track record, the probability of another quarter of surpassing expectations in Q1 is indeed not low. However, after multiple quarters of surpassing expectations becoming the market's "default," simply exceeding expectations is no longer a panacea. The experience of Microsoft Corporation after its fourth-quarter earnings report is a cautionary tale a slowdown in Azure growth led to a nearly 10% drop, indicating that in the realm of tech giants, the market's sensitivity to capital expenditure returns has reached a level where there is no room for error. Microsoft Corporation will also announce its latest quarterly earnings on Thursday morning. Wall Street Remains Optimistic Currently, the sell-side consensus on Wall Street remains a "strong buy" rating, with an average target price of $848.57 from 72 analysts over a 12-month period, the median target price being $855, with the highest target price reaching $1015 and the lowest at $614. This optimistic view on Wall Street is based on several pillars. Firstly, the "safety margin" of valuation: a forward price-to-earnings ratio of just over 22 times is considered extremely conservative this means the market is pricing in only 1.75% annual profit growth for Meta, a significant gap from its actual potential for double-digit EPS growth. Based on the historical average price-to-earnings ratio multiplied by market expectations for EPS in the 2027 fiscal year, its fair value is estimated to be around $809. Deeper confidence comes from the speed of commercialization of AI. Mark Zuckerberg has already indicated during the Q4 earnings call that Meta is seeing revenue growth driven by AI, which is seen as a stark contrast to the "metaverse" project, which has yet to show significant financial returns perhaps this is the biggest difference in this round of the AI narrative. At the same time, WhatsApp is testing advanced subscriptions to leverage its over 3 billion monthly active users to further open up revenue channels; and recent reports of a plan to lay off about 8000 people (about 10% of the total workforce) point to another dimension this is not just about cost optimization, but also signals Meta's systematic "AI-ization" of its organizational structure. On the other hand, some Wall Street analysts take a cautious neutral stance. Their core logic is this: although the company's long-term AI narrative is strong, the stock price is already approaching historic high levels, and in a window where such large-scale capital expenditures are just beginning, it may be more sensible to "hold at a reasonable valuation and wait for clearer signals of returns." Analysts believe in not blindly following the trend, and they think a more positive rating adjustment can be made after more substantive evidence of progress in AI monetization is obtained from this financial report. At the end of March and early April, the market just experienced a round of intense research report adjustments Morgan Stanley reiterated its "overweight" rating, while listing Meta as its "top pick" stock within its coverage, with a target price of $775. On the other hand, Wells Fargo, while maintaining an "overweight" rating, lowered its target price from $856 to $765, citing cautious considerations regarding AI model delays and valuation reassessment. However, this pattern of "maintaining recommendation but lowering target price" more accurately reflects the situation than a simple bullish/bearish debate analysts see the risks but still hesitate to issue a sell recommendation. Key Catalysts Driving the Narrative On the eve of the financial report release, several major news items further strengthened Meta's AI narrative. Firstly, a historic reshaping of the advertising landscape. According to eMarketer's latest forecast released in mid-April, the global digital advertising market in 2026 is undergoing its most significant reshuffle in over a decade: Meta's net advertising revenue for the full year is expected to reach $243.46 billion, surpassing Alphabet Inc. Class C's $239.54 billion by a narrow margin of around $3.9 billion, securing the top spot in global digital advertising revenue for the first time. In terms of market share, Meta's global digital advertising share is expected to reach 26.8%, slightly higher than Alphabet Inc. Class C's 26.4%. The core driver behind this historic leap is the growth gap. Meta's advertising business is expected to achieve a growth rate of 24.1% in 2026, further accelerating from 22.1% in 2025; in contrast, Alphabet Inc. Class C's growth is forecasted to remain at a mild 11.9%. eMarketer's Chief Analyst, Max Willens, specifically noted that this forecast is more of a signal: Alphabet Inc. Class C's absolute advantage in search advertising is gradually eroding as AI reshapes search behavior users' product searches are transitioning in large numbers from traditional search engines to e-commerce platforms and AI assistants, and Alphabet Inc. Class C's market share in the U.S. search advertising market is expected to fall below 50% for the first time. Equally important is the official launch of Llama 4. On April 5th, the Llama 4 series was released, described by Meta's CTO as a significant breakthrough in the company's open-source AI strategy, with three versions - Scout, Maverick, and Behemoth, using a Mixed Expert (MoE) architecture. The Llama 4 Ultra achieved an average score of 89.7% in key benchmark tests, surpassing GPT-4's 88.5%, while also increasing inference speed by approximately 30% and having a total parameter count of 1.2 trillion, with only about 220 billion parameters activated during inference, significantly reducing deployment costs. However, from a commercialization perspective, the real focus is on: first, whether the open-source strategy can form a competitive barrier against closed-source models (like GPT); and second, how Llama 4 can be integrated deeply into Meta's existing applications matrix of over 3.5 billion daily active users to more accurately serve the advertising business, truly forming a complete loop of data-model-monetization. Secondly, an intensive workforce reduction plan. According to reports, Meta is set to lay off about 8000 employees on May 20th, representing about 10% of its global workforce, while also closing approximately 6000 vacant positions, which will affect about 14000 potential positions. This has been characterized by Meta's Chief HR Officer in an internal memorandum as a "structural adjustment" rather than a traditional performance-driven optimization. Based on a median estimated annual salary of $150,000 per person, this round of layoffs is expected to save Meta approximately $1.2 billion in annual costs, constituting a significant fundamental positive before the earnings season. Combining this with the backdrop of the soaring AI capital expenditures, the true meaning of this signal is that Meta is systematically transforming its human resource budget into a computational power budget. Additionally, the company still faces regulatory risks. At the end of March, two consecutive judgments had a substantial impact on Meta: a New Mexico jury ruled that Meta had misled users on platform safety issues and ordered to pay $375 million in civil damages; while a Los Angeles jury ruled that Meta and Alphabet Inc. Class C were jointly responsible for compensating a young user for mental harm caused by "platform addiction," with a compensation amount of $6 million. This is the first judgment in U.S. judicial history against the "addictive design" of social media platforms, with implications far beyond the compensation amounts of individual cases. Currently, both Meta and Alphabet Inc. Class C have stated that they will appeal. In addition, multiple countries have already implemented or are advancing bans or strict restrictions on social media use for adolescents, which could have a structural impact on user engagement for Meta. Three Key Observations The signal of the "schedule" for AI monetization. During Q4, AI-driven improvements in ad rankings have already boosted ad impressions by 18% and increased average prices by 6%. The market's main concern in this financial report is no longer whether "AI brings in revenue" this was preliminarily verified in Q4 but rather whether "AI revenue is catching up with the expansion of capital expenditure at a fast enough rate." Clear and quantified guidance from the management on the timeline and specific targets will be crucial. The integration progress of artificial intelligence and advertising technology stack is crucial. In the fourth quarter, model improvements increased click-throughs, conversion rates, and ad quality without increasing ad loads. If this trend continues, it may confirm that Meta's growth is not solely due to an increase in ad quantity, but rather from a more efficient monetization model. If the Q1 financial report confirms that AI monetization is substantially accelerating and the management demonstrates a clear mid-term plan for AI investment returns, then the current valuation of around 22 times earnings may indeed be a "golden buying point" according to analysts' valuation range of $855, there may be significant upward potential in the current stock price. Lastly, forward guidance on capital expenditure. Whether the annual capital expenditure range of $115-135 billion can be maintained will be a key indicator to measure whether the core advertising profit is enough to cover this crucial AI gamble. BofA analysts even believe that Meta may possibly raise the lower end of this range. But this will be a double-edged sword: while increasing the minimum capital expenditure signals greater confidence from the management in the AI monetization path, it also means a further tightening of free cash flow in the short term, putting pressure on profits. This indicator plays an asymmetrical role in the current AI bullish narrative the market is far more sensitive to signals of spending cuts than additions. The quantified impact of regulatory environment whether the management will provide a more detailed assessment of the recent legal judgments during the conference call. The Social Media Harm lawsuits could lead to design change costs, potential hefty compensations, and the inhibitory effects of bans on adolescent social media use in various countries, together these three variables make up the most uncontrollable aspect of this financial report.