technology

Snowflake: Data Is Worth Nothing Until It Becomes Accessible Utility

Snowflake may become central infrastructure for the data economy, but a good company bought at a hysterical price remains an arithmetic error.

September 16, 2020

A good company bought at a hysterical price is still an arithmetic error.

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Snowflake: Data Is Worth Nothing Until It Becomes Accessible Utility

Snowflake goes public today and, like almost everything in 2020, arrives wrapped in fever.

The market is intoxicated by software. Not intoxicated in the light sense, as healthy euphoria, but intoxicated like a man who drank an entire bottle and now believes he has discovered higher geometry. The words of the season are familiar: cloud, platform, data, consumption, marketplace, AI, digital transformation. The mediocre investor repeats them like prayer. The serious investor asks what they cost, who pays, for how long, and what happens when prayer meets mathematics.

Snowflake is interesting precisely because the thesis is not false. That makes it more dangerous.

The worst bubbles are not built on pure lies. Pure lies die early. Great bubbles are built on truths bought at prices that turn truth into sabotage. In 1999, the internet was real. The wrong conclusion was that any price was acceptable. Today, data is real, cloud is real, corporate migration is real, analytics is real. The wrong conclusion, again, is that price has become a detail.

It has not.

Companies say data is the new oil. It is a beautiful and somewhat stupid phrase. Crude oil without a refinery is flammable mud. Raw data without access, governance, query, cleaning, permission, sharing, and operational use is merely cost stored in technical language. The executive likes calling it an asset because "asset" sounds better than "expensive mess."

Snowflake tries to sell the refinery.

This is the point the market may be right to notice. The company is not merely storage. Storing data, by itself, is a commodity that gets cheaper. The value is in separating storage and compute, making consumption easier, letting different areas query the same base, reducing friction between clouds, integrating partners, creating a data marketplace, and turning the warehouse into an analytical center of gravity.

When a company begins placing reports, models, queries, permissions, teams, and processes on top of a data layer, switching stops being trivial. Not because the contract is impossible to terminate, but because the organization begins to think through that infrastructure. The most valuable software is not the software the customer uses. It is the software around which the customer reorganizes behavior.

Snowflake may be that kind of software.

The consumption model also deserves attention. Most of Wall Street still thinks about software as seats. Number of users multiplied by price. Simple. Clean. Limited. The consumption model is different. It grows when the customer uses more. More data, more queries, more workloads, more departments, more partners, more automations. Billing comes closer to the customer's real economic activity. This can be extraordinary when utility expands. It can also be brutal when the customer starts cutting consumption.

This is a point the optimists do not want to discuss.

The same elasticity that permits expansion permits discipline. If the CFO discovers that analysts are burning compute the way teenagers burn gasoline, he will order optimization. The consumption model looks magical when everything grows. But in a recession, magic becomes an expense line. I am not saying this destroys the thesis. I am saying no business model has been excused from gravity.

The early numbers are impressive. High growth. Exceptional net retention. Large customers. Rising usage. The company appears to be solving a real problem for organizations that can no longer operate with data trapped in old silos, legacy databases, and improvised architectures. Some businesses sell vitamins. Snowflake seems to sell painkillers. The customer does not buy because it is pretty. He buys because the pain of fragmented data is becoming unbearable.

But then comes price.

And price is where beautiful narratives go to die.

A company can be excellent and the stock can be a terrible purchase. This sentence should be written in large letters on the wall of every investor who buys technology IPOs. The market prefers childish binaries: if the company is good, buy; if the company is bad, sell. Reality is more unpleasant. Good companies bought at bad prices produce bad returns. Mediocre companies bought at absurdly low prices can produce good returns. The investor is not paid for recognizing quality. He is paid for buying quality with a margin of safety.

Snowflake, on day one, does not offer margin. It offers applause.

Berkshire's applause, in particular, will be used as anesthesia. "Buffett bought," they will say. That sentence will be repeated by people who do not know the price, the relative size, the context, or who inside the organization made the decision. Buffett has become a liturgical authority for investors who do not want to think. His name will be used as an indulgence: pay dearly now, absolve yourself later.

I would not buy that way.

My position toward Snowflake would be dual, and many people would confuse this with contradiction: I would like the company and reject the stock at its opening price. That is not contradiction. It is sanity.

I would put Snowflake on a watchlist, not in a full portfolio. I would track three things: product growth, net retention, and gross margin adjusted for the real cost of serving consumption. I would watch whether large customers expand through new workloads or merely through experimental spending. I would see whether the company can survive its first multiple compression without losing the operational narrative. The moment to buy quality software is rarely when bankers, journalists, and growth funds are all applauding in the same room.

If I were forced to position today, I would not buy the IPO in the open market. I would also be cautious about shorting immediately. Shorting a good company with the right narrative and strong institutional flow is an expensive way to prove that you know how to multiply revenue by a multiple. The market can remain irrational long enough to turn a correct thesis into financial ruin. The graveyard of shorts is full of men who were right too early.

The rational operation would be to wait.

Not the passive waiting of a coward, but the armed waiting of a predator. Let the market do what it always does: exaggerate, discover that it exaggerated, sell in anger, and then offer the same company at a less religious price. In a 40% decline, many would say the thesis died. Perhaps only the multiple got thinner. In a 60% decline, the same analysts who today call Snowflake essential would ask whether customers will cut consumption. Perhaps that is when the conversation begins to get interesting.

I would consider a small position in common stock only after severe valuation compression, provided the operating indicators remained alive. Small, because expensive software does not deserve heroism. I would add only if the company proved it could turn revenue expansion into decent unit economics without depending forever on the market to finance growth. If the price remained absurd, perhaps I would use very far out-of-the-money puts only as a limited expression against the fever, but not as a central short. Reflexivity risk is high: a high price attracts attention, attention attracts capital, capital attracts customers, customers reinforce price. Bubbles can partially finance their own story.

This is the uncomfortable part.

A high price is not only a consequence of the thesis. Sometimes it becomes an ingredient in the thesis. Newly listed companies with immense valuations can hire better, acquire better, sell confidence, and appear as inevitable categories. The market calls this insanity; sometimes it is productive insanity. But the minority investor must remember that financing another man's dream is not the same as participating well in it.

Snowflake may become critical infrastructure. It may be one of the companies that capture the migration of corporate data to the cloud. It may benefit from a world in which every company wants to be "data-driven" before it even knows how to drive its own data. It may create real switching costs. It may turn the data marketplace into something more important than it appears today. It may also become a neutral layer between clouds, which would be valuable in a world where companies do not want to depend entirely on Amazon, Microsoft, or Google.

None of that answers the main question: at what price?

The 2020 market is not paying for execution. It is paying for inevitability. But inevitability is a dangerous word in investing. It always arrives with a high multiple, low margin of safety, and investors who confuse other people's lack of imagination with prudence. When a thesis starts to look obvious, risk has already moved. The risk stops being "what if the company does not grow?" and becomes "what if it grows a lot, but not enough to justify the price?"

This second question destroys more capital than it appears.

I do not want to be short the utility of Snowflake. Utility is a stubborn force. But I also do not want to be long a first trade that requires perfection. The disciplined investor accepts missing the first chapter. Most durable returns are not born from the need to join the spectacle, but from the ability to survive it.

My conclusion is simple.

Snowflake is probably a good company. Perhaps a great company. Perhaps a central piece of corporate data infrastructure. But today it is being sold as if the future had already been audited, signed, and discounted without error. That is not investing. It is advance payment for a prophecy.

I prefer to wait for the prophecy to stumble.

If it stumbles and keeps walking, I buy.

If it does not stumble, let another man keep the applause.

The investor is not required to participate in every truth. He is required not to pay for the lie embedded in the price of a truth.

Leo Bentier

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