Stifel reiterates Snowflake stock Buy rating on AI growth potential By Investing.com

Snowflake reported $1.23B in product revenue (+30% YoY) and $9.77B in remaining performance obligations (+42%, including a $400M deal), with LTM revenue growth of 29% and a 67% gross profit margin. The stock trades at $160.61 (down 43% from its 52-week high) while several brokers reiterated or maintained Buy/Equalweight stances with price targets ranging from $177 (Macquarie) to $275 (BofA); Stifel kept a Buy and $205 PT. Management highlighted AI product rollouts (Cortex Code, Intelligence, Project SnowWork in limited preview) and said customer consumption remains resilient and mix/cost actions can offset potential AI-driven COGS pressure. Analysts on InvestingPro project profitability and EPS of $1.95 for fiscal 2027, supporting the view that shares may still be undervalued at current levels.

Analysis

Snowflake is positioned to capture a multi-year increase in internal consumption as AI workflows shift from bespoke pipelines to governed enterprise platforms. The second-order beneficiaries are hyperscalers and GPU suppliers: sustained platform-led consumption will reroute incremental spend from bespoke model hosting and consulting toward storage+query+inference runs, lifting cloud billings and accelerator demand in a lumpy, usage-driven way.

Margin dynamics are the clearest asymmetry. Heavy inference and embedding workloads can expand revenue per customer while simultaneously increasing per-query cost volatility; whether Snowflake leverages spot capacity, renegotiates cloud economics, or builds specialized infrastructure will determine margin trajectory over 6–24 months. Near-term catalysts that can re-rate the stock are wider customer previews of autonomous workflows and quarterly conversion of multi-year obligations into recognized revenue; downside triggers are a tech-driven CPU/GPU price spike or a large customer pushback on consumption pricing.

For portfolio construction, isolate conviction on structural uptake versus margin execution. Short-dated headlines (earnings, preview cadence) will drive volatility; durable upside requires at least 12–18 months for customer seat expansion and cost optimization to materialize. Monitor telemetry: billings mix (consumption vs committed), new large deal cadence, and cloud cost-per-inference trends as leading indicators for re-acceleration or compression.

Key Decisions for Investors

• Long SNOW equity (1–1.5% NAV) with defined downside hedge: buy SNOW and purchase 12–18 month protective puts (strike ~25–30% below entry). R/R: asymmetric — limited downside to put premium (~3–6% NAV) vs >50% upside if platform adoption accelerates over 12–24 months.
• Long-dated call LEAPs on SNOW (12–24 months) funded by selling short-dated calls (calendar sell): targets option-driven upside to capture multi-quarter adoption while monetizing near-term volatility. R/R: buy-side capped upfront premium with >2x payoff if adoption and margin improvement materialize.
• Play AI compute downstream: buy NVDA 3–6 month call spread (capture GPU demand from enterprise inference) sized at 0.25–0.5% NAV. R/R: limited debit vs 2–4x payoff on a sustained enterprise AI build-out correlated with Snowflake consumption.
• Pair trade to isolate platform execution: long SNOW / short MDB (equal notional, rebalanced quarterly) for 6–12 months to express data-platform monetization over document DB infrastructure. R/R: reduces macro beta; profits if Snowflake wins enterprise AI share while MDB lags in monetizing model-driven consumption.