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.

Consensus is missing the operating flex: Snowflake can trade off margin today to buy expansion in seat breadth but only if it can convert that expansion into sticky recurring usage. The market is therefore mispricing the optionality — either significant upside if they tightly integrate AI workloads without margin bleed, or sharp downside if compute costs remain structural and customers resist variable pricing.

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.