As of August 2026, the US stock IPO market has finally shown a long-awaited hint of warmth in Q3 after a mixed first half. For investors keeping a close eye on the US stock market, an IPO (Initial Public Offering) is not only an injection of fresh blood but also a crucial window into cutting-edge industry trends. At this current juncture, we observe: AI capital expenditures by traditional tech giants remain stubbornly high, while a cohort of unicorn enterprises deeply engaged in AI computing power leasing, semiconductor peripherals, and edge computing are lining up to list on Nasdaq and the NYSE.
As a reader of DuoGu US Stock Intelligence, your primary concern is undoubtedly: In this wave of IPO frenzy, which companies genuinely possess long-term investment value? Which are merely concept-riding "PPT companies"? During the IPO subscription process, how can ordinary investors avoid valuation traps? Today, we will break down the US stock IPO logic and practical guide for H2 2026 in plain English.
I. 2026 US Stock IPO Market Panorama: From Freezing Point to Rebound
Looking back at the US stock IPO market over the past two years, it has been a rollercoaster ride from an "Ice Age" to a "cautious recovery." From 2024 to early 2025, impacted by the Federal Reserve's high-interest-rate environment and geopolitical uncertainties, both the scale and volume of new US stock issuances plummeted to rock bottom. Many star unicorns originally planning to go public had to hit the pause button, turning instead to the private market to "survive the winter."
However, entering 2026, the situation has seen subtle changes. On one hand, the Fed's monetary policy has finally shown signs of a substantial pivot; rising expectations of marginal liquidity easing have prompted a rebound in risk appetite. On the other hand, the technological revolution represented by generative AI, after its initial frenzied period, is entering a critical stage of "commercialization implementation." For those infrastructure enterprises capable of genuinely providing computing power support and solving data bottlenecks for large AI models, their revenue and profits have begun to materialize in financial reports.
This fundamental improvement is directly reflected in the IPO queue. Unlike the listing wave of the past few years where "everything can be SaaS," companies planning to list in the US in H2 this year exhibit a strong "hard tech" attribute. AI computing center operators, advanced packaging equipment manufacturers, and chip startups focusing on AI inference constitute the main force of this round of IPOs.
II. Deep Dive into Core Themes of H2 US Stock IPOs
Regarding specific investment directions, we cannot cast our nets blindly but must closely follow the flow of industrial capital. By reviewing companies that recently filed prospectuses, we found the following three main themes most worthy of attention:
1. AI Computing Power Leasing & Data Center Operations: Asset-Heavy "Cash Cows"
As parameter scales of large model companies like OpenAI and Anthropic continuously break through, the computing power demand on the training side, though massive, has a relatively consolidated market landscape, with giants like Nvidia taking the lion's share of profits. However, on the application side, the "inference computing power demand" brought by thousands of enterprises accessing large models is showing explosive growth.
Due to the exorbitant cost and rapid depreciation of purchasing GPU servers, an increasing number of SMEs choose to "rent" computing power rather than "build" it themselves. This has spawned a batch of AI computing power leasing companies similar to CoreWeave. The business model of such enterprises is straightforward: financing debt to purchase massive GPU servers, packaging them into computing clusters, and leasing them to AI startups or traditional enterprises needing AI transformation via cloud services.
In the H2 IPO queue, several regional computing power lessors are sprinting to go public. When subscribing to such enterprises, we need to scrutinize two metrics: first, their "contract reserve," i.e., the amount of signed long-term lease contracts, which determines the floor of their future revenue; second, the interest spread between their capital costs and leasing profits. In the current interest rate environment, enterprises capable of obtaining funds at lower costs will possess a stronger economic moat.
2. Semiconductor Peripheral Industry Chain: The Undervalued "Shovel Sellers"
Whenever AI chips are mentioned, investors' first reaction is often design companies like Nvidia and AMD. However, for a high-performance GPU to operate stably, it relies on a massive surrounding support system—this is the semiconductor peripheral industry chain. This includes advanced packaging equipment, high-speed optical modules, liquid cooling systems, and high-frequency high-speed copper-clad laminates.
With the mass production of next-gen architectures like Nvidia's Blackwell Ultra, chip power consumption and transmission rate requirements have reached unprecedented heights. Traditional air cooling can no longer meet heat dissipation needs, and liquid cooling penetration rates are rising rapidly; meanwhile, interconnect bandwidth demands between GPUs have triggered an explosion in 800G and even 1.6T optical modules.
In H2, multiple companies focusing on liquid cooling equipment and silicon photonics technology are expected to file prospectuses. Compared to betting directly on chip giants, the valuations of these "shovel sellers" are often more reasonable. Due to high barriers in niche tracks, once they enter the supply chains of tech giants, order stickiness is extremely strong. When reading these companies' prospectuses, investors should focus on their major customer concentration and R&D expense ratios, guarding against the risk of over-reliance on a single customer.
3. Edge Computing & On-Device AI: The Next Explosion Point
If cloud computing power is the brain of AI, then edge computing is its nerve endings. With the popularization of AI PCs, AI smartphones, and autonomous driving technologies, sinking AI inference capabilities to terminal devices (on-device) has become an inevitable trend. Cloud inference is costly and has latency, whereas edge computing can process most data locally, saving bandwidth and protecting privacy.
In this track, startups focusing on edge AI chip design and edge cloud management platforms are emerging. These companies' characteristics: although absolute revenue scale is smaller than cloud giants, their growth rates are extremely high, and gross margins typically remain at high levels. For such IPOs, the core of subscription lies in judging whether their tech route aligns with mainstream hardware ecosystems (e.g., compatibility with Nvidia CUDA or ARM architecture), and the implementation of their products in specific scenarios (e.g., smart security, industrial quality inspection, automotive assisted driving).
III. Plain-English IPO Subscription Guide: A 4-Step Prospectus Breakdown to Avoid Pitfalls
Faced with dazzling prospectuses, ordinary investors often feel clueless. In reality, we don't need to be financial experts; grasping a few core elements can filter out most "minefields." Here is a practical "4-step breakdown method":
Step 1: Check Equity Structure & VC Background
The first few pages of a prospectus usually disclose the company's equity structure. We need to see: Who are the VCs (Venture Capital) leading the financing? Are they top-tier institutions like Sequoia, KPCB, or a16z? More importantly, do these institutions show signs of exiting before the IPO? If core shareholders frequently transfer old shares before listing, it often implies a lack of confidence in the company's future—a clear red flag.
Step 2: Deconstruct Revenue Structure & "Real" Growth Rate
Many companies like to hype "300% revenue growth" on the prospectus cover, but as investors, we must see the essence through the phenomenon. First, distinguish whether revenue growth comes from genuine core business expansion or paper prosperity patched together via M&A. Second, look at the "quality" of revenue. If an AI computing company's revenue mostly comes from government subsidies or one-off software licenses, rather than recurring subscription fees, its valuation anchor must be heavily discounted.
Step 3: Keep a Close Eye on Cash Flow & CapEx
This is the top priority in evaluating listed companies in the AI era. Take computing power leasing companies as an example; they are essentially asset-heavy "landlords." Such companies might show losses on the income statement, but as long as their operating cash flow is positive, and future lease contracts can cover their CapEx and interest expenses, the company can keep operating. Conversely, if a company is not only losing money but also has continuously massive free cash flow outflows, surviving entirely on financing, then in the current environment where liquidity isn't extremely loose, it will easily face the risk of a broken capital chain post-IPO.
Step 4: Beware of "Lock-up Period" Selling Waves
US stock IPOs have a crucial mechanism: insiders (like executives and early employees) have a 180-day lock-up period post-listing, during which they cannot sell shares. Once the lock-up period ends, it is often accompanied by massive selling pressure. For AI concept stocks that skyrocket on the first trading day, if they fail to establish a solid profit foundation before the lock-up expiry, their stock prices can easily get halved. Therefore, after subscribing and buying in, you must formulate a clear take-profit and stop-loss strategy, avoiding turning "short-term IPO subscription" into forced long-term bag-holding.
IV. Investment Strategy & Risk Warning: Stay Rational, Embrace Main Themes
Overall, the H2 2026 US stock IPO market is full of opportunities but also hides hidden risks. The explosive demand for AI computing power is the macro trend with the highest certainty, but this doesn't mean all companies flying the AI flag will survive. Market funds are concentrating toward the top; those enterprises with genuine tech barriers, stable major customer orders, and healthy cash flows will stand out in this listing wave, becoming the leaders of the next decade.
For ordinary investors, participating in US stock IPO subscriptions requires noting the following strategies:
- Prioritize Niche Leaders: Rather than blindly gambling on unprofitable early-stage startups, focus on those "hidden champions" who have captured absolute market share in specific niche tracks (e.g., liquid cooling, silicon photonics, computing power scheduling software) and achieved scalable profitability.
- Focus on Valuation-Growth Match: IPO pricing is often influenced by market sentiment. If a company's issue Price-to-Sales (PS) ratio far exceeds its historical compound growth rate, the probability of breaking the issue price post-listing is extremely high. It is advisable to observe its turnover rate and order book performance on the first trading day, rather than rushing to chase highs during the opening auction phase.
- Use ETFs to Hedge Single-Stock Risk: If you lack confidence in individual stock subscriptions, watch ETFs specifically tracking newly listed AI computing power companies. Through a basket of stocks, you can share industry dividends while mitigating the risk of a black swan event for a single company.
Finally, it must be emphasized that there is no "sure-win" deal in the US stock market. An IPO itself is a high-risk, high-return investment activity, especially given the rapid iteration of AI technology today—what is cutting-edge today may be eliminated tomorrow. Before participating in an IPO subscription, please assess your risk tolerance, invest with disposable funds, and never blindly use leverage. DuoGu US Stock Intelligence will continue to track the latest dynamics of the H2 2026 US stock IPOs, clearing the market fog for you and locking in genuine investment value.
