A beat large enough to move the full-year number
Snowflake's fiscal second quarter results were not a narrow beat. Total revenue reached 1.55 billion dollars, up 35.1 percent year over year and roughly 5 percent ahead of analyst consensus, while product revenue, the company's core metric representing 96 percent of total revenue, grew 37 percent to 1.49 billion dollars. Non-GAAP earnings per share of 62 cents beat consensus by nearly 38 percent, a magnitude of outperformance that typically signals either broad-based demand strength or a specific new growth driver kicking in faster than modeled.
The company's response was to raise full-year guidance meaningfully rather than treat the quarter as an isolated outperformance: product revenue outlook moved from 5.84 billion dollars to 6.07 billion dollars, implying 36 percent full-year growth, while the non-GAAP operating margin target rose from 13.5 percent to 14.5 percent. Raising both the growth rate and the margin target in the same guidance update signals confidence that the growth driver behind the beat is both durable and not coming at the expense of profitability.
AI is now half the growth story, not a side note
The company attributed roughly half of the quarter's acceleration in product revenue growth to Cortex AI products and the AI Gateway, a specific, quantified claim rather than the vaguer AI-tailwind language many enterprise software companies have used in recent earnings cycles. That level of attribution specificity matters for investors and customers alike: it suggests Snowflake has developed reasonably granular internal tracking of which revenue is AI-attributable, which is itself a capability many competitors have not yet demonstrated publicly.
For a company whose core business has historically been data warehousing and analytics infrastructure, AI products now accounting for roughly half of incremental growth represents a genuine business model shift underway in real time, not a future roadmap item. Customers and competitors should read this quarter as confirmation that Snowflake's multi-year AI investment cycle has reached the point of measurably moving the company's top-line numbers rather than remaining a forward-looking narrative.
The coding assistant numbers worth watching closely
CoCo, Snowflake's AI coding assistant, surpassed 9,100 accounts after adding more than 2,000 new accounts within the quarter alone, an adoption pace that outstrips typical enterprise software feature rollout curves by a wide margin. CoWork, a separate product, grew 11 percent sequentially to reach 5,800 accounts, a smaller absolute number but a meaningful growth rate for a quarter-over-quarter comparison in enterprise software.
The company also disclosed launching more than 330 new product capabilities in the first half of fiscal 2027, up 35 percent year over year, a shipping velocity that suggests Snowflake has restructured its product development process to sustain a faster release cadence, likely itself assisted by the same AI coding tools driving customer adoption. A vendor whose own engineering velocity is visibly accelerating alongside its AI product adoption numbers is a more credible signal than either metric would be in isolation.
Retention and expansion tell the durability story
Net revenue retention held at 126 percent, meaning existing customers are on average spending 26 percent more than they were a year earlier, a figure that has remained resilient even as Snowflake has scaled to a much larger revenue base where retention rates typically face downward pressure. Large customers spending more than 1 million dollars annually grew 27 percent year over year to reach 828 accounts, showing that expansion is concentrated among Snowflake's most committed, highest-value customers rather than diluted across a long tail of smaller accounts.
Remaining performance obligations, the contracted future revenue not yet recognized, reached 9.00 billion dollars, up 30 percent year over year, giving Snowflake meaningful forward visibility into revenue that has already been committed contractually but not yet delivered. That combination, strong current growth plus a large, growing backlog, is a more durable growth signal than a single strong quarter viewed in isolation.
The customer base keeps widening too
Total customers reached 14,554, with 692 net new customers added during the quarter, showing Snowflake's growth is not purely an expansion story within its existing base but includes continued new-logo acquisition at meaningful scale. For a company at Snowflake's revenue size, adding nearly 700 net new customers in a single quarter while simultaneously growing existing account spend by double digits is a difficult combination to sustain, and it is the specific combination that tends to justify premium growth valuations in enterprise software.
For competitors, particularly Databricks, which competes directly with Snowflake for the same enterprise AI data platform budget, this quarter is a signal that Snowflake's AI product strategy is translating into measurable commercial results fast enough to defend its position rather than cede ground. The competitive dynamic between the two platforms is likely to intensify further as both continue racing to embed AI capability more deeply into their respective core products.
What CIOs evaluating Snowflake should take from this
For enterprise technology leaders currently evaluating or renewing Snowflake contracts, this quarter's results are a useful negotiating data point: a vendor posting numbers this strong, with guidance raised rather than merely maintained, has less near-term pricing flexibility than one facing growth headwinds, since strong demand reduces a vendor's incentive to discount aggressively to win or retain business.
The more strategic takeaway is about product roadmap confidence: Snowflake's willingness to raise both growth and margin guidance simultaneously, rather than trading one for the other, suggests the company believes its current AI product investments are scaling efficiently rather than requiring disproportionate additional spend to sustain. That is a reasonable basis for enterprise customers to expect continued, well-funded investment in the Cortex and coding assistant product lines specifically, rather than a pullback if broader AI spending sentiment cools elsewhere in the market.
