Prediction: Palantir Stock Will Drop to This Price After Aug. 3
By Maksym Misichenko · Nasdaq ·
By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panelists have mixed views on Palantir's upcoming earnings, with bulls focusing on strong growth and de-risking commercial bookings, while bears warn of potential margin compression and valuation concerns. The key risk is the conversion of commercial bookings into durable, high-margin revenue, and the key opportunity lies in Palantir's ability to beat earnings expectations and provide reassuring guidance.
Risk: Conversion of commercial bookings into durable, high-margin revenue
Opportunity: Beating earnings expectations and providing reassuring guidance
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Palantir Technologies (NASDAQ: PLTR) is scheduled to release its second quarter earnings on Aug. 3. Throughout 2026, Palantir stock has endured a difficult stretch -- falling about 30% as investors rotate out of enterprise SaaS names amid new model features from Anthropic and OpenAI.
While the decline in Palantir stock has already reset some of the optimism that supported shares in prior years, the upcoming report still carries the potential for another drop. Read on to learn why.
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Wall Street's consensus estimates for Palantir's second-quarter revenue and earnings per share (EPS) are $1.8 billion and $0.35, respectively. This implies annual revenue growth of 80% and a 169% jump in earnings year over year.
During the company's first-quarter report, management guided toward a similar trajectory: Revenue of roughly $1.8 billion and adjusted operating margins that would support earnings near the $0.35 level.
Given earnings season has just started, there aren't too many comparable SaaS companies to benchmark Palantir against. For now, International Business Machines (NYSE: IBM) and ServiceNow (NYSE: NOW) provide timely comparisons.
IBM actually pre-announced its second quarter results on July 14, specifically citing softer demand in software. Shares fell roughly 25% that day, making it IBM's worst day in the stock market since 1987. The company's full Q2 report was later published on July 22. As of July 24, IBM has traded roughly flat compared to its historic sell-off earlier this month.
ServiceNow also reported its latest earnings on July 22. Shares initially dropped as much as 4% in the hours after the release, reflecting concern that a respectable quarter still fell short of the elevated bar plaguing the entire SaaS landscape this year. Of note, ServiceNow has since recovered and now trades roughly 2% higher than pre-report levels.
What's interesting is that Palantir stock actually rose as ServiceNow dropped following news of IBM's prelim report. However, since IBM and ServiceNow both published their full results for the second quarter, each stock witnessed incremental signs of recovery while Palantir stock has actually started showing some weakness.
The obvious point to make is that there have only been a limited number of trading sessions since ServiceNow and IBM reported earnings -- limiting the amount of reliable data. The immediate sell-offs followed by a modest rebound leaves a mixed signal rather than a decisive trend.
With that said, even if Palantir meets or modestly exceeds expectations, the stock remains vulnerable to a further decline. Some investors regard Palantir as richly valued on both a price-to-sales (P/S) and price-to-earnings (P/E) basis, and the valuation drop so far this year has not fully erased the sense that expectations are elevated.
Compounding these views is the reality that agentic AI is still in the early stages of enterprise production deployment, creating uncertainty about how quickly Palantir can translate new applications into consistent, high-margin revenue.
In my eyes, a reasonable outcome for Palantir is a post-earnings decline around 5%, which would bring the shares from their recent level near $123 down to about $117. Such a move would reflect more of a continued recalibration of risk rather than a large-scale rejection of the company's long-term story, acknowledging that near-term catalysts remain clouded by both valuation premiums and execution questions.
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Adam Spatacco has positions in Palantir Technologies. The Motley Fool has positions in and recommends International Business Machines, Palantir Technologies, and ServiceNow. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Palantir's AI platform momentum likely outweighs elevated valuation concerns, making a modest post-earnings dip a buying opportunity rather than the start of further material downside."
The article's bearish framing for PLTR's Aug 3 earnings is flawed on multiple fronts. First, it repeatedly cites "2026" – this is clearly a typo for 2025, undermining credibility. Consensus estimates show 80% Y/Y revenue growth and 169% EPS growth, which would be exceptional even if slightly missed. IBM's software weakness was idiosyncratic (legacy exposure), while ServiceNow's post-earnings recovery and PLTR's relative strength post-IBM pre-announce suggest the market is differentiating AI-native platforms. PLTR trades at ~38x forward sales on accelerating commercial AI contracts; a 5% post-earnings drop to $117 would represent a buying opportunity, not continued recalibration. The piece glosses over Palantir's ontology/AIP platform having first-mover traction in agentic workflows that OpenAI/Anthropic models actually accelerate.
The strongest case against is that even strong beats could trigger valuation compression if guidance implies any deceleration in 80%+ growth or if agentic AI monetization timelines slip further, sending the stock well below $117 as multiple rerating accelerates in a risk-off SaaS tape.
"Palantir’s unique positioning in mission-critical AI integration makes it an outlier that will likely decouple from the broader, struggling enterprise SaaS sector."
The article’s reliance on IBM and ServiceNow as proxies for Palantir is fundamentally flawed. While IBM struggles with legacy hardware and ServiceNow faces saturation in ITSM, Palantir’s AIP (Artificial Intelligence Platform) is capturing unique spend in government and high-stakes enterprise defense, which is less sensitive to generic SaaS budget tightening. Trading at 80% revenue growth with a 169% EPS jump, the valuation is aggressive, but the market is pricing in a 'SaaS-wide' contagion that ignores Palantir’s moat in data integration. If they hit the $1.8B revenue target, the 'rich valuation' argument collapses against their actual growth velocity. I expect the stock to decouple from the broader software sell-off post-earnings.
The bull case ignores that Palantir’s revenue is increasingly dependent on large, lumpy government contracts that are notoriously difficult to forecast, making a 'beat' harder to sustain than the consensus implies.
"The article assumes orderly repricing, but IBM's 1987-level crash suggests the market is repricing *demand*, not valuations—and PLTR's earnings beat may not matter if guidance signals slowdown in agentic AI monetization."
The article's $117 price target rests on a 5% post-earnings decline from $123, framed as 'recalibration' rather than rejection. But this misses a critical asymmetry: IBM's 25% single-day collapse on soft software demand signals not gradual repricing but potential capitulation. PLTR's 80% revenue growth and 169% EPS growth are real, but the article conflates two separate risks—valuation compression AND demand destruction—without quantifying which dominates. If agentic AI deployment uncertainty is genuine (as stated), why should a beat matter? The comps (IBM, NOW) show mixed signals precisely because the market is pricing binary outcomes, not smooth recalibrations.
PLTR's government contracts (unmentioned here) provide revenue stability that pure SaaS lacks, and 80% growth at scale is genuinely rare—the stock could gap higher on a beat if guidance reaffirms trajectory, rendering the $117 call too conservative.
"Palantir's Q2 results could validate a higher-margin, defensible growth path funded by stable government contracts and selective enterprise AI monetization, supporting the stock even amid SaaS volatility."
Palantir's Aug. 3 print is unlikely to be a disaster, but the setup is nuanced. The article is bearish on SaaS multiples and AI hype; Palantir's revenue mix—government/defense and large enterprise—tends to be steadier than pure SaaS, which could cushion downside if AI adoption slows. A beat could come from backlog conversions, Apollo monetization, or defense contracts that support margins. Yet valuations remain rich, and any miss or weaker AI monetization signal could trigger meaningful multiple compression. The real risk is whether enterprise AI deployments translate into durable, high-margin revenue quickly enough.
Against my stance: AI adoption could slow and Palantir's monetization could lag, hurting margins. A macro pullback in defense budgets or a broad SaaS multiple unwind could drive PLTR lower even on a beat.
"Commercial acceleration is de-risking Palantir's revenue mix faster than consensus appreciates."
Claude correctly flags the binary outcome pricing, but nobody has highlighted how PLTR's accelerating commercial bookings (now >50% of revenue) are de-risking the lumpy gov mix that Gemini warns about. This shift undercuts the 'government dependency' bear case and suggests any IBM-style software scare is already priced in at 38x sales.
"Palantir's shift to commercial revenue currently represents a margin-dilutive growth phase rather than a de-risking of the revenue base."
Grok, your claim that commercial bookings de-risk the lumpy government mix is premature. Commercial growth is currently driven by AIP bootcamps, which are high-friction, low-margin customer acquisition channels compared to long-term defense contracts. If Palantir fails to convert these bootcamps into multi-year enterprise agreements, the 'commercial shift' will actually compress margins, not stabilize them. The market is ignoring that this transition is a margin-dilutive phase, not an immediate de-risking event for the underlying business model.
"The commercial de-risking debate hinges entirely on whether Aug. 3 guidance quantifies bootcamp-to-enterprise conversion velocity—absent that data, both bulls and bears are extrapolating."
Gemini's margin-dilution warning is concrete, but it conflates two separate risks: AIP bootcamp conversion rates (operational) versus commercial revenue mix shift (structural). The real test is Q2 guidance on enterprise pipeline velocity post-bootcamp. If PLTR quantifies multi-year ACV (annual contract value) uplift from bootcamp cohorts, Gemini's thesis weakens. If guidance stays silent or implies extended sales cycles, the margin compression risk becomes material and the 80% growth narrative becomes hollow.
"The real margin risk is the cadence of converting bootcamp-driven ARR into durable, higher-margin ACVs; without that, margin compression dominates even on a beat."
Gemini's margin-dilution risk is plausible, but it ignores the potential margin lift from converting bootcamp-driven ARR into multi-year ACVs with higher gross margins. If Palantir can turn >50% commercial bookings into durable, enterprise-grade contracts, the near-term margin drag may be offset. The real risk is cadence of those conversions and defense backlog revenue credibility, not just 'commercial vs government' mix alone.
The panelists have mixed views on Palantir's upcoming earnings, with bulls focusing on strong growth and de-risking commercial bookings, while bears warn of potential margin compression and valuation concerns. The key risk is the conversion of commercial bookings into durable, high-margin revenue, and the key opportunity lies in Palantir's ability to beat earnings expectations and provide reassuring guidance.
Beating earnings expectations and providing reassuring guidance
Conversion of commercial bookings into durable, high-margin revenue