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Snowflake stock jumps 14% on earnings beat, optimistic guidance; analysts raise PTs

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Snowflake stock jumps 14% on earnings beat, optimistic guidance; analysts raise PTs

Snowflake shares surged 14% after the company reported Q2 adjusted earnings of 35 cents per share and revenue of $1.14 billion, both significantly exceeding analyst expectations, and raised its full-year product revenue guidance to nearly $4.4 billion. This robust performance was largely attributed to accelerating demand for its AI offerings and data modernization services, prompting multiple analysts, including Barclays, to raise their price targets to $255, underscoring strong investor confidence in Snowflake's strategic positioning within the burgeoning AI landscape.

Analysis

Snowflake's stock experienced a significant 14% premarket surge, directly attributable to a robust second-quarter performance and an optimistic outlook driven by accelerating demand for its AI-centric products. The company surpassed analyst expectations on multiple fronts, reporting adjusted earnings of 35 cents per share against a forecast of 27 cents, and quarterly revenue of $1.14 billion, a 31.8% year-over-year increase that beat the expected $1.09 billion. This operational strength is underpinned by a 33% jump in remaining performance obligations to $6.9 billion, signaling a strong pipeline of future contracted sales. Management raised its full-year product revenue guidance to nearly $4.4 billion, exceeding both its prior forecast and consensus estimates, citing broad adoption across key industries and highlighting that over 6,100 customers are now weekly users of its AI services. The positive results prompted a wave of analyst upgrades, with Barclays and Piper Sandler raising their price targets to $255 and $285, respectively, reflecting confidence in the company's strategic position to capitalize on enterprise data modernization. However, this bullish sentiment is tempered by a steep valuation, as the stock trades at 142 times forward earnings, a substantial premium compared to peers like MongoDB (76x) and Datadog (64x), which remains a key consideration.

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