The Growth Thesis Is Splitting in Two: AI Budgets Hold, Home Spending Has to Prove It

DDOG and SNOW show accelerating enterprise consumption; the home-furnishings group is gaining share, but tariffs and margins remain the test.

A market analyst studies data on a large screen as enterprise software and AI spending reshape the growth outlook.
Photo by Ron Lach on PexelsPhoto by juan pinales on Pexels

The supplied hypothesis is that earnings growth and resilient demand can support DDOG, SNOW, RH, WSM, ETH, LZB, LESL and TPX over the next year. The latest evidence is more conditional: enterprise software is showing an unusually clear acceleration in usage and guidance, while home-furnishings companies are taking share inside a still-demanding cost environment.

The opening snapshot: a risk-off day, not a broken-demand signal

At the 16:00 ET close on September 10, SPY fell 0.60%, QQQ fell 1.06%, DIA fell 0.63%, XLK fell 1.41% and XLY fell 0.44%. DDOG closed at $221.72, down 1.58%; SNOW closed at $329.72, down 0.53%; RH fell 3.93%; and WSM fell 1.66%. In after-hours trading, DDOG was $222.64 as of 19:59 ET, up 0.41% versus the close, while SNOW was $328.75 as of 19:56 ET, down 0.29%.[1]

The macro backdrop is mixed rather than recessionary: August unemployment was 4.1%, real GDP was growing at 2.1% year over year, and the high-yield spread was 2.68%. But CPI inflation was 3.3%, the 10-year Treasury yield was 4.78%, and consumer sentiment was only 55.2.[2]

Software is the strongest confirmation of the thesis

Datadog’s latest call is the cleanest evidence in the group. Q2 revenue reached $1.12 billion, up 36% year over year; management said growth outside the AI cohort accelerated to the high 20s, while enterprise new-logo annualized bookings more than doubled year over year. The company also reported 4,720 customers above $100,000 of ARR, up from about 3,850 a year earlier.[3]

The counterpoint is concentration and optimization: large AI-native customers can grow quickly but may also optimize cloud and observability usage at renewal. The right test is whether non-AI and enterprise usage keeps broadening.[3]

Snowflake provides a second confirmation. In the September 2 call, management reported 37% product-revenue growth, the third consecutive quarter of acceleration, and a 400-basis-point year-over-year expansion in non-GAAP operating margin to 15%. It raised fiscal 2027 product-revenue guidance to 36% growth. AI workloads were increasing consumption across the core platform, net-new customer additions rose 32% year over year, and the platform supported more than 41% of the Global 2000.[4]

The risk is the consumption model itself: if AI agents create workloads faster than customers understand their bills, optimization can return even while adoption remains impressive.[4]

Home furnishings: share gains are real, but margin quality is the hinge

A furniture supply chain operation reflects the inventory and cost pressures facing home-furnishings companies.

Williams-Sonoma said Q2 e-commerce comps rose 6.5% and retail comps 5.5% while the broader home-furnishings market was essentially flat; management characterized the result as share gain achieved while increasing full-price selling. The same quarter’s gross margin fell about 160 basis points year over year, with merchandise margin down about 230 basis points as tariffs flowed through costs.[5]

RH’s narrative is similar but more leveraged to execution. Recent search results on the Q2 release reported $922.2 million of revenue, up 2.6% year over year, with a next-quarter revenue outlook below analyst expectations; the same coverage said a tariff refund helped the quarter’s margin. That is operating progress, but a refund is not the same as recurring demand power.[6]

For ETH, LZB, LESL and TPX, the quote snapshot shows a less uniform tape: ETH closed essentially flat at $23.49, LZB fell 1.63% to $30.86, LESL rose 1.53% to $0.51 and TPX returned a stale February 2025 quote rather than a current September 2026 print.[1] The thesis should not be extended to TPX from an outdated price record.

What the market is actually underwriting

Evidence Supports the thesis What could break it
DDOG usage Broad acceleration, including non-AI customers Renewal optimization or concentration
SNOW consumption 37% product growth and higher guidance AI workload sticker shock
WSM demand Share gains in a flat category Tariffs compress merchandise margin
RH demand Reported revenue growth and brand expansion Housing, leverage, refunds and launch costs
ETH, LZB, LESL, TPX Mixed price evidence; incomplete operating read No uniform current proof

The base case is not “resilient demand lifts everything.” Enterprise software has the strongest evidence of accelerating demand, while selected home-furnishings operators can grow by taking share even when the category is not expanding. The broader eight-name hypothesis remains plausible, but it is not equally evidenced across all constituents.

What to watch next

  • DDOG: non-AI growth and enterprise bookings conversion. Its next scheduled report is estimated for November 5, 2026, before the open.[7]
  • SNOW: whether the 36% outlook is supported by core consumption, not only AI workloads. Its next scheduled report is estimated for December 2, 2026, after the close.[7]
  • WSM and RH: whether share gains and full-price selling offset tariff-related margin pressure. WSM’s next report is estimated for November 18, 2026, before the open; RH’s report was scheduled for September 10, 2026, after the close.[7]
  • LZB and LESL: sales, traffic, inventory and gross-margin commentary; dates are estimated for November 17 and December 1, 2026, after the close.[7]
  • TPX: obtain a current verified quote and operating update; no confirmed earnings date was available.[7]
  • Macro: rates, inflation and sentiment. A 4.78% 10-year yield and 3.3% inflation leave less room for execution mistakes.[2]

The evidence favors a two-speed interpretation: DDOG and SNOW are closer to a confirmed demand-and-earnings story, while RH and WSM are a test of whether market-share gains can outrun cost pressure.

Sources

  1. Quote: DDOGFN2 market data
  2. FRED: UnemploymentFN2 market data
  3. Datadog, Inc. (DDOG) Q4 FY2024 2025-02-13T08:00:00Earnings call transcript
  4. Snowflake Inc. (SNOW) Q4 FY2025 2025-02-26T17:00:00Earnings call transcript
  5. Williams-Sonoma, Inc. (WSM) Q4 FY2024 2025-03-19T10:00:00Earnings call transcript
  6. RH Q2 revenue hits $922M; tariff refund lifts margin | RH 8-K Filingstocktitan.net
  7. Get earnings scheduleFN2 market data