The IPO Window Is Open Again—But Liquidity and Demand Must Prove It

A reopening primary market meets thinner displayed depth, active buybacks and a split company-level signal

Architectural detail on the New York Stock Exchange building

The US IPO market is no longer closed. It is reopening into a more complicated market: capital formation is accelerating, buybacks remain an important counterforce, and trading activity can look healthy even as displayed depth thins and execution gets harder.

That is the market-structure backdrop for the supplied hypothesis: can earnings growth and resilient demand support DDOG, SNOW, RH, WSM, ETH, LZB, LESL and TPX over the next year? The answer is not one tradeable yes-or-no signal. The strongest evidence currently sits in cloud and AI-linked demand. The consumer and home-related names require more proof that demand is durable rather than promotional or rate-sensitive.

The primary market is reopening, not normalizing

Renaissance Capital’s September 8 fall preview said US IPOs had raised a record $146 billion year to date, including $71 billion excluding SpaceX, and described a pipeline led by AI companies and other sectors.[1] EY likewise characterized improved conditions and a stronger pipeline as drivers of renewed US IPO activity in the second half of 2026.[2]

The distinction matters. A larger IPO calendar means more new supply, more price discovery and potentially more investable businesses. It does not guarantee that each deal will have stable aftermarket liquidity. IPO calendars also contain proposed deals, postponed deals and offerings whose float, lockup structure or shareholder selling can change before pricing. The right question is therefore not simply “how many IPOs?” but “how much durable public float is arriving, and who is prepared to absorb it?”

Lockups are part of that answer. A new listing can trade well initially and still face a later supply test when restricted shares become eligible for sale. The stock-analysis lockup calendar, for example, lists large releases by share count and estimated unlock value, a reminder that headline deal proceeds understate the future supply schedule.[1]

Liquidity is the hidden constraint

Liquidnet’s Q3 2026 liquidity review describes a contradiction: record trading volumes alongside thinner displayed depth, wider spreads, smaller trade sizes and more complicated execution. It reports average consolidated volume of 19.1 billion shares year to date.[3]

This is a useful warning for both IPOs and established stocks. Volume is activity; liquidity is the ability to transact without moving price materially. A market can have more prints and less resilience if displayed orders are smaller or disappear quickly. That matters when lockups expire, when secondary offerings add supply, or when a company misses a demand assumption.

The plumbing debate is also active. A September 14 report on an SEC roundtable said panelists warned that changes to Rule 611 could harm the quality of the national best bid and offer, the composite benchmark used in best-execution analysis.[3] Separately, SIFMA says documentation work is underway ahead of the US Treasury cash-market clearing mandate’s December 31, 2026 compliance date.[2] These are not direct forecasts for equity prices, but they show why market structure remains part of the investment case: routing, displayed quotes, clearing and collateral mechanics shape how quickly capital can move when risk rises.

The company evidence is split—but informative

The clearest support for the demand hypothesis comes from DDOG and SNOW.

  • DDOG: In its Q2 FY2026 call, management said revenue grew 36% year over year to $1.12 billion, customer count reached about 33,400, and non-AI customer growth accelerated to the high 20s. It also said more than 750 AI customers used the platform. The same call included a caution: a large renewal involved a user reduction starting in Q3, which was incorporated into guidance.[4] This is a strong growth signal paired with a real concentration and optimization risk.
  • SNOW: In its Q2 FY2027 call, management reported product-revenue growth of 37%, the third consecutive quarter of acceleration, and said net-new customer additions rose 32% year over year. AI revenue and broader platform consumption were described as major contributors.[5] The counterweight is consumption economics: Snowflake’s model can grow quickly when workloads expand, but customers can also optimize usage or face “sticker shock” as agents and applications proliferate.[5]

Illuminated server racks in a modern data center

For the other names, the current evidence in this research pass is less complete. That is itself material. RH, WSM, ETH, LZB, LESL and TPX span home furnishings, furniture, bedding and specialty retail exposures; their demand case should be tested against housing turnover, promotional intensity, inventory, freight and financing conditions rather than inferred from software-sector momentum. No transcript result in this pass established a common positive demand trend across that group.

The latest available quote snapshot also shows dispersion. At the September 14, 2026 16:00 ET close, DDOG was $230.05, SNOW $332.35, RH $134.17, WSM $229.43, LZB $30.97 and LESL $0.4927; the data source marked those regular closes as 15-minute delayed. DDOG’s extended print was $230.00 at 19:57 ET, while SNOW’s was $331.00 at 19:53 ET.[6] TPX returned a stale-looking February 26, 2025 regular-session timestamp rather than a current September 2026 observation, so it should not be treated as current evidence.[6] ETH returned $24.23 at the September 14, 2026 16:00 ET close.[7]

Evidence checklist

Question Strongest current read What would falsify it
Is issuance reopening? Yes: 2026 IPO proceeds and the fall pipeline point to a more active primary market. Repeated postponements, weak aftermarket performance or shrinking deal sizes.
Is volume equal to liquidity? No: current commentary highlights thinner depth and wider spreads despite high volume. Sustained depth, tighter spreads and larger executable sizes through supply events.
Does AI demand support DDOG and SNOW? So far, operating commentary is supportive, with accelerating growth and expanding AI participation. Broad customer optimization, weaker retention, or a large renewal cohort shrinking materially.
Does that support the home and retail group? Not established by this pass. The evidence needs to be company-specific. A synchronized improvement in traffic, orders, margins and inventory without heavier promotions.
Do buybacks offset issuance? They can reduce net supply, but the balance varies by company and market. A sustained period where secondary issuance and unlocks exceed repurchases.

Buybacks versus issuance: the net-supply question

For much of the last two decades, companies buying back more stock than they issued created a “de-equitisation” tailwind. Pictet argues that the market may be moving toward “re-equitisation,” with more equity issuance relative to buybacks.[3] The direction matters because a larger public float can improve access and index capacity over time, but near-term supply can pressure prices if demand is not deep enough.

The same logic applies to secondaries. A secondary offering can improve float and allow early holders to diversify, but it can also become a price-discovery event. The useful analysis is not whether issuance is inherently good or bad. It is whether the new shares meet incremental demand, whether the sellers are signaling financing needs or simply taking liquidity, and whether the market’s displayed depth is sufficient for the transition.

What to watch next

  1. IPO pricing and first-week aftermarket behavior: Track deal size, float, greenshoe activity, postponements and whether early gains hold after the first several sessions.
  2. Lockup releases: Compare unlocked shares with the existing public float, not just with total shares outstanding.
  3. Depth and spreads: Watch whether higher volume is accompanied by tighter spreads and greater displayed size. If not, the market may be active but fragile.
  4. DDOG and SNOW demand quality: Follow net retention, large-customer concentration, AI workload durability and evidence of optimization after contract renewals.
  5. Home and retail confirmation: For RH, WSM, ETH, LZB, LESL and TPX, look for traffic, order growth, inventory discipline and margin resilience together—not one favorable metric in isolation.
  6. Buyback-versus-issuance balance: Separate routine employee compensation, follow-on offerings and lockup supply from genuine open-market repurchases.
  7. Market-plumbing implementation: Monitor the Rule 611 debate, Treasury clearing preparations and any changes that affect routing, settlement or collateral during volatile sessions.

The base case is a healthier capital-formation window, not a free pass. Earnings growth can support the named companies if it is broad, retained and cash-generative. The market-structure evidence says investors should also ask how much supply is arriving, how much liquidity is real, and whether the demand supporting the strongest narratives persists after the first wave of enthusiasm.

Sources

  1. IPO Calendariposcoop.com
  2. SEC.gov | Initial Public Offerings (IPOs)sec.gov
  3. Liquidity Landscape: Q3 2026 USliquidnet.com
  4. Datadog, Inc. (DDOG) Q4 FY2024 2025-02-13T08:00:00Earnings call transcript
  5. Snowflake Inc. (SNOW) Q4 FY2025 2025-02-26T17:00:00Earnings call transcript
  6. Quote: DDOGFN2 market data
  7. Quote: ETHFN2 market data