Snowflake Inc. Citi’s 2026 Global TMT Conference
Review the key takeaways and the transcript of this earnings call.
- Snowflake reported strong growth and margin expansion over the past year, with increased operating leverage in their business model.
- The company has seen positive market reactions with back-to-back growth re-accelerations and 5% plus beats, which are rare for software at their scale.
- Snowflake's AI products, especially Coco and Cowork, have driven increased adoption and consumption across more personas within customer organizations.
- The company raised its full-year revenue growth guidance from 31% to 36% year-over-year, reflecting strong demand and product innovation.
- Gross margins remain strong at 74% non-GAAP product gross margin despite the introduction of AI products that have lower gross margins than the core business.
- Snowflake added about 330 employees year-to-date, significantly fewer than the 950 added in the prior year, reflecting improved operational efficiencies.
- The company is committed to becoming GAAP profitable by Q4 of next year, with plans to reduce stock-based compensation and maintain operating leverage.
- Snowflake emphasizes customer-first culture, product velocity, and sales execution as key drivers of continued success.
- The company has strong partnerships with hyperscalers like AWS, Microsoft, and GCP, while also competing with them in some areas.
- Snowflake is an open system encouraging customers to query data from anywhere, focusing on creating great customer experiences to retain and grow usage.
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Transcript
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Awesome. Okay, thanks everyone. I know people are piling in after the keynote, so got a couple seats up front, but I am sure this will be a standing room session. Excited to kick off the afternoon with Snowflake. We have Brian Robins, the CFO. Brian, we had a great dinner last night, and it is hard to believe it is only been a year or so since you have taken over. A lot has changed at Snowflake. Maybe just give us your top observations from the past year, and how do you think about the opportunity ahead?
Yeah, absolutely. First and foremost, thanks for having us here today, and thanks for everyone coming to see us. My two primary goals when I came into the company was really twofold. One, focus on growth and margin expansion. Two, focus on the go-to-market execution. In my career, I have spent most of my time with the CROs of the companies, and have really focused on that go-to-market function. I am happy to say both of those have really played out throughout the year. On the growth and margin expansion, really happy with the guidance that we gave, the quarter that we delivered, even the previous quarter, and we are doing that with increased operating leverage in the model. Excited to see that. Sridhar and I are very well-aligned there, and the whole executive team is, and so you are starting to see the investments that we made pay off in the go-to-market, and also on the growth side.
On the go-to-market side, Jonathan is our new CRO. He is doing an awesome job. He has been with the company for over 10 years. Really highly regarded, and it has been awesome to work with him, because he grew up with Snowflake, basically, and knows the product really well. He is really pushing the discipline and changing the way the sales force is selling into our customers. Historically, when I got at the company, it was really a consultative sales approach, and they would go and sort of talk about what is your problem, how can we help you, and so forth.
Now reps are actually using AI with synthetic data and actually deriving outcomes for the customers. So they are actually showing up with agents and models and so forth that actually help drive that use case and that outcome. Really super happy that those two things have played out and two of my focuses I will continue to focus on.
Okay. Awesome. Certainly the recent results have been very positive surprises to the market. Back-to-back re-accelerations, very rare in software at this scale, 5% plus beats, but it is also rare by Snowflake history. Clearly, investors are excited about it. We can see the bend in the growth curve. I am curious, as you look at the business from probably an unlimited amount of metrics based on how much you can cut the data at Snowflake, what are some things that surprised you internally, whether it is verticals, new personas, different types of consumption patterns?
That is one advantage of being a data company. We actually measure everything within the company.
Yeah. So just to comment on the results, and we will talk about the question, it is awesome to see what the Snowflakes have done and what they have delivered.
A lot of hard work has gone into that throughout the entire employee base. Also really appreciative of our customers. Sridhar and I host an All Hands after every earnings call, and it was one of these things like, "Hey, this is great. Let us celebrate today. But after today, we have to worry about tomorrow and this quarter." So there really is a sense of urgency within the company and a culture around customers first, delivery, product innovation, and so forth. On the second part of the question, remind me, it was about?
Just as you look at all the different metrics and cuts of the data, obviously investors Yeah we can see this stuff.
Anything that you would flag or just stand out to you as you look at I guess it would be, of course, the metrics are awesome to look at and see what's happening.
One, I guess, would be really the durability of the business itself.
What we're seeing with all the AI initiatives that we have, we talk a lot about Cortex, but there's Snowflake CoWork, there's AI Functions, there's model training, there's AI Gateway. It's the adoption of those and what people are doing with those tools to impact their businesses. The way that all of us are working today will dramatically change in the next year, 2 years, 3 years. Trying to actually embrace that agentic workforce and what that looks like, and to see that in our customers and see how they're doing it, has just been awesome. I guess the other thing that I'd touch on that's really been amazing is when I got to Snowflake about a year ago, I personally did not use Snowflake that much. I took SQL, I think, in college. It was a required class.
I didn't really have the ability to access the data like I have the ability to access the data now. I spend a lot of my time in Snowflake, primarily Cortex, and can access any of the data. Historically, the way I would work is if I would see data, and one of our traits that everyone here in the room has is we can look at reams and reams of data and find one data point that doesn't make sense. Then typically we would go to someone and say, "Can you give me more data on that?" Now you can just talk to basically your computer through Cortex and basically get into the data and understand what's going on. Then it's integrated with our acquisition that we did with Observe connectivity into Gmail, Calendar, Slack, all the other applications I use.
I use that as a harness to work out of. The fact that I am using it so much, and we have implemented so much Snowflake on Snow, I talk to probably 3 to 5 CFOs a week, either existing customers or potential customers, and the sense of urgency around what you can do with your data at different personas has been really amazing.
Yeah. No, that is great to hear. I know you have talked about vast majority of the finance org on Cortex and just all the efficiency that is gained. One of the questions we often get from investors, and I know you have only been at Snowflake a year, so this might be a little unfair of a question, but if we go back to past cycles where we did see larger beats and growth rates were elevated, there was this wave of optimization. I know that is probably a very recent memory for a lot of folks that are still at Snowflake.
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