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Why I Still Wouldn't Buy Palantir Stock -- Even After Its Recent Sell-Off

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Why I Still Wouldn't Buy Palantir Stock -- Even After Its Recent Sell-Off

Palantir's shares have pulled back about 15% from recent highs but remain priced for perfection, trading at a forward P/E above 165 despite Q3 revenue jumping 63% year‑over‑year to $1.18bn (U.S. revenue +77%, U.S. commercial +121%) and management guiding Q4 revenue growth around 61% and FY2025 revenue growth of ~53% with adjusted free cash flow of $1.9–$2.1bn. The company is broadening commercial traction, yet it faces intensifying competition from Snowflake, Databricks and hyperscale cloud providers (Microsoft, Amazon) that can bundle AI/data services and outspend Palantir, while its legacy government exposure remains lumpy and politically sensitive. Given those execution and competitive risks versus an extreme valuation, the piece argues the stock is not a buy-the-dip and investors seeking AI exposure are better served by larger, more diversified and lower‑valued alternatives.

Analysis

Palantir's share price has fallen more than 15% from early‑November highs but remains priced for perfection, with a forward P/E north of 165 despite the pullback. The company reported third‑quarter revenue of $1.18 billion, up 63% year‑over‑year, with U.S. revenue rising 77% and U.S. commercial revenue surging 121% as enterprise deployments broadened. U.S. government revenue also accelerated, climbing 52% year‑over‑year, indicating the business is diversifying commercially while retaining substantial government exposure. Management raised its outlook, guiding fourth‑quarter revenue growth of about 61% year‑over‑year and lifting full‑year 2025 revenue guidance to roughly 53% growth while forecasting adjusted free cash flow of $1.9–$2.1 billion. That combination of rapid top‑line expansion and material free‑cash‑flow generation has elevated Palantir to a high‑profile AI‑software incumbent. The market is therefore valuing both sustained high growth and strong economics into the stock price. Competitive risk is intensifying: Snowflake and Databricks are aggressively pursuing AI use cases, with Snowflake's operating expenses exceeding $1.1 billion (about 100% of the period's revenue), while Microsoft and Amazon can bundle AI/data cloud services with deeper balance sheets and broader enterprise footprints. Given those structural disadvantages, dependence on lumpy government contracts, and a forward P/E that leaves little margin for error if AI spending normalizes or customers favor hyperscaler bundles, the article recommends remaining on the sidelines until valuation more fully reflects execution and competitive risks.