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- Midweek Deep Dive: 📈 I Missed SNOW’s First 35% — Not Again
Midweek Deep Dive: 📈 I Missed SNOW’s First 35% — Not Again

🌞 Good Morning, Folks!
Everyone’s still talking about Nvidia’s new chip, interest rates, and whether the market’s “overbought.” But no one’s paying attention to what just happened underneath it all — Snowflake quietly surged 35% in a few weeks, and not because of some earnings miracle or viral AI headline. It happened because funds rotated while retail waited for a cleaner story.
That’s the problem with consensus narratives: they show up too late. While everyone’s chasing the next headline darling, the real setups are happening in silence — one rerating, one accumulation wave, one overlooked signal at a time.
Today’s issue is about spotting those setups before they go mainstream. I’ll walk you through the Clarity Filter applied to a name that just flipped from expensive speculation to operational conviction — and show you why the next 20% might move faster than the last. Plus, as always, I’ve got high-signal reads from around the web that you probably haven’t seen — but should. Let’s cut through the noise.
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🔍 This Week’s Focus: Snowflake’s Run-Up — Is It Already Too Late?
I’ll admit it — I hesitated on Snowflake.
Watched it at $135. Watched it at $150. Watched it again when insiders started buying. And then I watched it rip past $190… while I waited for the “perfect” re-entry that never came.
That hesitation? It hurt. Because the setup was there — clean revenue growth, cloud budget rebound, institutional loading — but the market’s fatigue with high-multiple names had me second-guessing. And that’s exactly when smart money starts moving in.
So if you’ve been watching SNOW wondering, “Did I miss it?” — let’s unpack this the right way.
Because the real setup? Might just be starting.
🧭 Why It Matters Now
Snowflake isn’t your typical cloud stock.
Yes, it's expensive. Yes, it was overhyped post-IPO. But here’s what most are missing: it’s now executing like a machine — and the market is finally catching on.
Revenue last quarter: $829 million, up 33% YoY
Remaining performance obligations (RPO): $5.2 billion, a forward-growth tell
Operating margin: turned positive this quarter, finally showing leverage
AI integration: Snowflake Arctic + Nvidia + data clean room strategy = defensibility
And while the crowd still sees “an expensive database company,” the actual positioning is clear: Snowflake is becoming the default data layer for enterprise AI infrastructure.
That’s not narrative fluff — that’s positioning with teeth.
📊 Valuation & Positioning: Not Cheap — But No Longer Speculative
Here’s where we get honest.
At 18x forward sales, Snowflake is still priced for growth. But here’s the difference now: it’s earning it.
Forward Price/Sales: ~18x (vs. 32x at IPO peak)
EV/FCF: 41x (down from 90+ in early 2022)
Gross Margin: 76% — among the highest in SaaS
Cash on hand: Over $4.6B — no dilution needed to scale AI or data cloud
Compare that to other “growth” names still burning cash at 40x sales and hoping for margin magic later. Snowflake already made the pivot. Profitability is scaling. RPO is exploding. Enterprise adoption is sticky.
This isn’t a bet on what might happen. This is clarity around what already is — and the market is just now pricing it in.
🔍 Clarity Filter: Where I Stand (And What the Crowd’s Overlooking)
Here’s how I evaluate whether a stock deserves my conviction. I use a simple 10-point filter — not just for hype avoidance, but to force clarity in a market full of noise. Here’s how Snowflake stacks up:
Clarity Filter Criteria | Snowflake’s Positioning |
---|---|
✅ Understandable Model | Snowflake isn’t “just a database.” It’s a real-time, cloud-native data platform critical to enterprise AI. |
✅ Consistent Revenue Growth | 33% YoY growth in Q1, with forward indicators like RPO up 46% YoY. |
✅ Profit Engine | Non-GAAP operating income flipped positive. Margins are expanding with scale. |
✅ Free Cash Flow | $730M in trailing 12-month FCF — this company mints cash, not dreams. |
✅ Institutional Confidence | BlackRock, Vanguard, and Sequoia increased stakes — they see what’s coming. |
✅ Riding a Megatrend | Data infrastructure + GenAI deployment = future-proof moat. |
✅ Leadership Clarity | Sridhar Ramaswamy (ex-Google) now running point. Clear vision, technical cred. |
✅ Durable Moat | Strong switching costs, partner ecosystems (AWS, Azure), and sticky customers. |
✅ Global Scalability | Scaling across international markets with localized enterprise deals. |
❌ Monetized AI Flywheel | Arctic LLM and Snowpark are promising, but haven’t fully translated into revenue yet. |
Score: 9/10. The setup is exceptional — and the only missing piece is visible AI monetization. When that clicks? This isn’t a $190 stock anymore.
🧠 What the Crowd Is Missing
Everyone’s been trained to avoid “expensive software” stocks since 2022. That’s fine — reflexes take time to rewire.
But here’s the difference: the old crop was burning cash to chase growth. Snowflake’s now doing both — growing and operating with discipline.
Its AI pitch isn’t hype — it’s productized. The Arctic LLM is lean and enterprise-targeted. Data clean rooms are becoming a must-have for industries like health, fintech, and retail. Nvidia is leaning in.
And yet — most headlines still treat SNOW like it's a “story stock.” That’s your entry. That’s the disconnect.
🔭 Setup or Sentiment Shift to Watch
Here’s what I’m tracking next:
Q2 earnings: Watch net retention — anything above 130% is a green light
AI monetization clarity: Arctic’s traction + Snowpark pipeline = surprise upside
Migration from legacy data stacks: If vertical wins accelerate, that’s re-rating fuel
Valuation compression: If growth sustains and valuation drifts toward 15x sales = runway
This isn’t a momo trade. This is positioning ahead of reclassification — from growth hope to infrastructure core.
💬 Final Take: From Missed Move to Clear Setup
Look — I’m not pretending I caught the first wave. I didn’t. And if you’re reading this with SNOW sitting at $190+ thinking “It’s too late” — I get it.
But here’s the thing: price follows execution, and execution is getting sharper. Snowflake isn’t chasing AI headlines like half of Silicon Valley. It’s quietly becoming the infrastructure layer behind some of the largest enterprise AI deployments out there — and the market is only beginning to recognize that shift.
Wall Street is finally giving it credit — but retail still hasn’t fully caught on. And that’s the opportunity. Because this kind of stock doesn’t move in straight lines. It moves in stair-steps. And if the next leg higher starts on a breakout above $200, it won’t wait for you.
This isn’t a trade. It’s a thesis in motion. And like all great setups, it’s easier to act when the crowd is still questioning it.
Most missed the last 35% run. I’m not missing the next one. And neither should you — if you’re serious about clarity over noise, and conviction over consensus.
👉 Missed Last Week’s Deep Dive? You Skipped a Setup the Crowd Ignored
While most investors panicked over Alibaba’s 7% post-earnings drop, I broke down why the sell-off was pure overreaction — and why the fundamentals pointed to a 40% upside setup. International growth, cloud acceleration, and a $35B buyback aren’t noise — they’re signal. If you’re still relying on headlines to shape your decisions, this is the piece you need to catch up on.
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🧠 What did you think of today's newsletter? |
— AK

Disclaimer: The content on this blog is for educational and informational purposes only and is not intended as financial, investment, tax, or legal advice. Investing in the stock market involves risks, including the loss of principal. The views expressed here are solely those of the author and do not represent any company or organization. Readers should conduct their own research and due diligence before making any financial decisions. The author and publisher are not responsible for any losses or damages resulting from the use of this information.
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