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PLTR.NYSE
Palantir Technologies
Information Technology · Systems Software
Software company specializing in big data analytics and AI-powered platforms for government agencies and commercial enterprises.MoreShow less
HQ: United StatesListed: United States

Palantir Technologies (PLTR) Stock Analysis: Compare AI Forecasts & Scenarios

Updated 2 Nov 2026Deep Analysis 21 Sept 2026

25 min read
Approved byRusslan Ramdowar, Editor-in-Chief

14 advisor opinions Base Subscription Required

Palantir Technologies AI Forecast Summary

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1 Year Ratings & Returns ()

Ratings: 10 Sell All 1 Partial Sell 2 Buy 1 Strong Buy

Returns range: from -23.3% to +21.8%

5 Year Ratings & Returns ()

Ratings: 7 Partial Sell 5 Neutral 2 Buy

Returns range: from -6.3% to +66.5%

Calculated from End of Date $160.38

What do advisors disagree on

The decisive analytical debate centers on valuation elasticity versus multiple duration gravity. Bulls argue that irreplaceable defense entrenchment, bootcamp sales velocity, and elite 50% free cash flow margins justify sustaining historic enterprise software premiums. Conversely, valuation-sensitive analysts assert that in a 5% interest-rate regime, mathematical multiple contraction toward 25-35 times earnings will completely absorb five years of earnings growth, leaving equity holders with stagnant returns. Resolving this tension requires tracking sequential commercial net dollar retention alongside benchmark bond yields across 2027.

Compare all 14 opinions1 Year & 5 Year ratings, targets & returns · Sorted by 5 Year price return
AdvisorModelResearch1 Year5 YearFull Report
Target dateRatingPrice targetPrice returnTarget dateRatingPrice targetPrice return
J.P. Morgan AI The Titan FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedBuy$177.20+10.5%Buy$267.07+66.5%Full report
Universal Investor AI The Polymath FrameworkClaude Opus 5Researcher Mode with Web Search UsedStrong Buy$195.34+21.8%Buy$255.00+59.0%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledPartial Sell$158.54-1.1%Neutral$202.28+26.1%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledSell All$122.96-23.3%Neutral$200.71+25.1%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$144.61-9.8%Neutral$193.82+20.8%Full report
Niccolo Machiavelli AI The Insider FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedSell All$137.15-14.5%Neutral$187.90+17.2%Full report
Ray Dalio AI The Strategist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$140.10-12.6%Neutral$185.93+15.9%Full report
Elon Musk AI The Visionary FrameworkGemini 3.8 FlashResearcher Mode with Web Search UsedSell All$145.39-9.3%Partial Sell$181.16+13.0%Full report
Sherlock Holmes AI The Whistleblower FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$155.33-3.1%Partial Sell$172.40+7.5%Full report
Warren Buffett AI The Value Seeker FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$153.55-4.3%Partial Sell$163.61+2.0%Full report
Superintelligence AI The Anthropologist FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$137.15-14.5%Partial Sell$163.43+1.9%Full report
Universal Investor AI The Polymath FrameworkGPT-6 AstraResearcher Mode with Web Search UsedSell All$145.17-9.5%Partial Sell$156.62-2.3%Full report
Michael Burry AI The Vulture FrameworkGemini 3.8 FlashResearcher Mode but Web Search Wasn't UsedSell All$132.59-17.3%Partial Sell$155.44-3.1%Full report
Universal Investor AI The Polymath FrameworkGemini 3.8 FlashThinker Mode with Web Search DisabledBuy$174.62+8.9%Partial Sell$150.25-6.3%Full report
Prices, dates & return assumptions

1 Year and 5 Year identify the original published checkpoints. Current returns compare the dated close with each fixed target over its remaining horizon. Original quarterly tables use the publication-time anchor. Targets and observed prices share a split-adjusted basis.

Ratings use the shared volatility-adjusted calculation.

Ranges and rating distributions use matching currencies, price bases and target dates. Missing or expired checkpoints are excluded; targets are never extrapolated. Shared frameworks and models can produce correlated opinions.

Palantir Technologies Stock Analysis & Forecast — Universal Investor The Polymath Framework on Claude Opus 5 Model

Universal Investor AI advisor icon

Universal Investor AI · The Polymath Framework

Claude Opus 5 AI Researcher Web Search Not Used

5 Year Rating

Buy

5 Year Price Return

+59.0%

Framework Description & Key Record Dates

Investment Framework

The Polymath Framework: Eight-Lens Investment Analysis Framework

Analysis Framework Description: Select the lenses with the greatest explanatory power, resolve their disagreements across horizons, and connect the evidence to a consistent thesis, scenario path, and verdict.

  • Ownership and value: examine economic rights, competitive advantage, capital allocation, and the price paid.
  • Regimes and constraints: connect credit, liquidity, policy, demand, and physical bottlenecks to the asset.
  • Innovation and adaptation: test adoption economics, AI and robotics exposure, substitution, and value capture.
  • Forensics and incentives: reconcile accounting, cash conversion, dilution, governance, and missing evidence.
  • Expectations and reflexivity: distinguish changes in fundamentals from changes in narratives and valuation.
  • Probabilities and resilience: use base rates, competing scenarios, catalysts, and the capacity to survive the wait.
  • Power and the rules of the game: assess political interests, regulatory influence, protection, and dependency.
  • Industry structure and consolidation: identify pricing power, chokepoints, alliances, and the economics of integration.
Full framework methodology
Model Producer:
Anthropic
Model Version:
Claude Opus 5
Mode Used:
Researcher
Web Search Not Used
Input Data:
Input records not available
Forecast Target Date:
Latest Known Price Date for Return Estimate Refresh:
Forecast Published On:
Forecast Generated On:
Model knowledge cutoff:
Supplied Context Data, Prices & Events Cutoff:
Not recorded
Return calculation details

Current returns use the observed price and remaining time to the fixed published target. The quarterly table retains the original forecast anchor.

Full advisor report Chart, analysis, and sources

Palantir Technologies: Historical Prices & Published Forecast

Analyzed by The Polymath Framework using the Opus 5 model

Palantir Technologies: Historical Prices & Published ForecastObserved prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in USD.-18.7655.96130.69205.41280.14Sep 2021Mar 2024Sep 2026Mar 2029Sep 2031Forecast startsToday (UTC)
  • Observed price
  • Published advisor forecast
Observed prices and the selected advisor's published projection share a split-adjusted price basis. Prices after the forecast start are later observations, not information known at publication. Values in USD.

Palantir Technologies: Quarterly Price Forecasts & Scenarios

Analyzed by The Polymath Framework using the Opus 5 model

Price targets, price returns and complete scenario reasoning

Forecast prices in USD. Price returns are cumulative from the original forecast anchor dated 2026-09-18; they exclude dividends. Swipe horizontally to read every column.

QuarterForecastPrice returnScenario
$185+4.0%

The November 9 print clears a guide near $2.16 billion and nudges FY2026 above $8.2 billion, but a five-percent ten-year yield caps the re-rating. Beat-and-raise buys a modest advance, not a breakout.

$196+10.2%

February's fourth-quarter report delivers roughly 80% full-year growth and initial FY2027 guidance above $12.5 billion. Momentum buyers return, though the guide's implied deceleration limits enthusiasm and the shares stall below the 2025 high.

$186+4.7%

Deceleration becomes visible as comparisons harden against the 93% base. With the Fed still restrictive and term premium elevated, long-duration software de-rates first; Palantir's 60x forward sales makes it the obvious funding source.

$195+10.0%

Second-quarter results confirm US commercial still compounding above 70% and free cash flow tracking toward $7 billion annualised. Cash generation outruns the multiple's decline this quarter, producing recovery without regime change.

$201+13.3%

Allied defense appropriations for 2028 firm up sovereign-AI line items, supporting the government segment. Offsetting this, inflation persistence keeps cuts postponed, so gains remain incremental rather than trend-establishing.

$213+20.1%

FY2027 closes near $13 billion revenue with GAAP profitability in every quarter and a flat share count. The per-share arithmetic finally rewards holders, lifting shares as compression slows against faster earnings delivery.

$205+15.3%

Agentic competitors compress deal pricing in mid-market commercial accounts, and renewal cycles lengthen. Cancellable backlog draws scrutiny from analysts, prompting a modest multiple reset despite unchanged headline growth.

$213+19.9%

NGC2-linked programme expansion and continued 45%-plus growth reassure the market. Free cash flow near $9 billion annualised makes the yield argument less absurd, drawing incremental institutional buyers back.

$219+23.5%

US election-cycle fiscal uncertainty introduces defense-budget hesitancy, partly offset by commercial strength. The stock grinds higher on cash generation while investors await clarity on procurement priorities for 2029.

$230+29.6%

FY2028 results show revenue near $19 billion at sustained 55% cash margins. The forward multiple has fallen below 25x sales, a level where valuation stops being the dominant objection for generalist funds.

$216+21.9%

Growth decelerates through the 35% threshold, triggering the narrative shift from hypergrowth to premium software. Momentum holders rotate out; the de-rating outpaces the quarter's earnings contribution.

$225+26.7%

Stabilising after the growth-tier reclassification, shares recover as buybacks finally scale against a $12 billion-plus cash pile. Capital return becomes a genuine per-share lever rather than the cosmetic offset it was in 2026.

$232+30.5%

Enterprise AI budgets normalise into recurring IT spend, favouring embedded incumbents. Palantir's ontology lock-in supports renewals; gains are steady but unspectacular as the multiple continues its structural descent.

$241+35.8%

FY2029 results near $25 billion revenue with free cash flow above $13 billion. The valuation now rests on visible cash rather than 2035 projections, a healthier but far less explosive basis for returns.

$229+29.0%

A mid-cycle macro wobble — credit tightening or renewed energy disruption — hits high-multiple names disproportionately. Palantir's beta to risk sentiment remains elevated even at a compressed valuation.

$238+34.1%

Recovery driven by sovereign and defense renewals plus international commercial expansion beyond the current 74% US concentration. Geographic diversification reduces the political-dependency discount embedded in the multiple.

$245+38.2%

Growth settles near 28% with margins intact. Shares behave increasingly like a high-quality compounder, tracking earnings growth minus continued modest multiple contraction toward large-cap software norms.

$255+43.7%

FY2030 delivers roughly $32 billion revenue and $18 billion free cash flow. Sustained buybacks against a stable 2.7 billion share count make per-share growth visibly exceed enterprise growth for the first time.

$248+39.4%

Late-horizon competitive maturity appears as agent orchestration commoditises at the lower end. Pricing pressure trims incremental margins, prompting a mild valuation adjustment rather than a thesis break.

$255+43.5%

The five-year arc closes with Palantir established as critical operational infrastructure at roughly 18x sales. Returns arrive from compounded cash generation, having been substantially offset throughout by the multiple's long descent.

Show remaining 18 quarters

All 20 quarters are displayed in the table above.

Palantir Technologies: Investment Thesis Base Case

Analyzed by The Polymath Framework using the Opus 5 model

The central tension is not whether Palantir executes — it plainly does — but whether shareholders get paid for it. Through 2026 the market ran the experiment for us: earnings roughly doubled, the stock went nowhere, and the forward multiple collapsed from the inside. Extend that mechanism across five years and you get a business compounding toward $35–40 billion of revenue with 55%-plus cash margins, while the multiple bleeds from 74x sales toward the high teens. Returns exist, but they are the residual between two powerful opposing forces, and the ride is violent.

  • FY2026 guided revenue of $8.15 billion with adjusted free cash flow of $4.5–4.7 billion anchors the model.
  • At roughly 56x forward sales today, compression toward 18x by 2031 offsets most revenue compounding.
  • Cross-check: $600–700 billion enterprise value across about 2.7 billion shares implies $220–260 per share.

Palantir Technologies: Scenarios & Signals

Analyzed by The Polymath Framework using the Opus 5 model

Bull Case

The bull case activates when the discount rate and the defense budget move in the same direction at once. Energy-security normalisation pulls inflation back toward target, the Fed reverses toward cuts, and the 10-year falls below 4% — precisely when allied sovereign-AI appropriations turn Palantir's control-plane positioning into obligated multi-year revenue. Growth holds above 50% into 2028 rather than halving, the multiple stops compressing, and per-share cash flow compounds against a stable share count. Shares clear $350.

Bear Case

The bear case activates the moment one quarter merely meets guidance. With consensus already at the guide and no valuation floor beneath 74x sales, an in-line print triggers forced de-rating; deceleration headlines then validate the agentic-substitution critique, enterprise buyers delay renewals of cancellable contracts, and a defense budget rotation removes the government floor. Persistent insider selling supplies the narrative. Compression and decelerating growth compound rather than offset, and the shares revisit the $110–120 zone seen in early 2026.

Behavioral Alpha Signals

Sentiment, repricing cycle, crowd narrative, catalyst, and macro alignment.

Expected Volatility Regime: High

Greed and Fear Index: +42 / 100 (Greed)

+42

Cycle Position: Overshoot

Speculation has pushed the narrative beyond fundamentals.

EarlyAwareMomentumOvershootReversalCapit.StabilizeOVERSHOOT
Figure: Advisor position within the seven-stage market-recognition cycle. The highlighted point marks Overshoot.
What does Media Tell? (Crowd Consensus)

Consensus treats execution as settled and debates only the multiple: twenty analysts rate it Buy with a $204 mean target and a $180–255 dispersion band . The anchoring bias is the 2025 high of $207 — the crowd assumes flat-to-down 2026 is a pause before reclaiming it, and quietly accepts valuation frameworks discounting 2035 EBITDA as a legitimate anchor.

What Crowds Get Wrong? (Alpha/Value Gap)

The crowd slightly overestimates what these shares can return, even while underestimating the business. Two overlooked facts point in opposite directions: the share count has stalled at roughly 2.57 billion , materially improving per-share math, yet the stock stayed flat through 2026 while earnings doubled — proof the market is resolving the tension via compression, not appreciation. At 74x sales, superb operating results are already the required condition, not the upside. Fair-to-rich, with negative skew.

When will Value Gap Repricing Happen? (Repricing Catalyst)

The February 2027 fourth-quarter print, when initial FY2027 guidance makes deceleration numerically visible for the first time. If a strong beat is paired with a guide implying sub-55% growth and the shares fail to hold the gap higher, that failure is the first observable sign the market has repriced growth duration.

How is Asset Influenced by Macro Regime?

The macro wind is squarely in its face through the transmission that matters most: discounting. With the Fed at 3.75%–4.00%, the 10-year near 5% and the energy shock keeping inflation sticky, an asset yielding 0.74% on trailing free cash flow is the purest long-duration exposure in large-cap software. Thesis sensitivity to a dovish regime change is extreme.

Palantir Technologies: Positive & Negative Factors, Risks & Opportunities

Analyzed by The Polymath Framework using the Opus 5 model

Base-Case Forces

Top Drivers / Tailwinds

Base-case positive forces

Structural or operating forces that support this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

Scroll to view all columns

Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
AIP Becomes THE Enterprise System OF RECCompetitive Positioning+55%+190%US commercial revenue grew 149% year over year to $764 million in Q2 2026 , with net dollar retention near 157% — existing accounts are expanding faster than new logos arrive. The ontology layer embeds itself in operational decision workflows, which raises switching costs once deployments move from pilot to production . Management guides US commercial above $3.424 billion for 2026 ; this compounding is the core earnings engine.
Privileged Access TO THE Defense WalletPolitical And Geopolitical+26%+70%Government still supplies roughly 54% of revenue , and the procurement channel is unusually privileged: an internal August 2026 Pentagon memo proposed effectively sole-source funding up to $244 million through 2028 , while the UK MoD awarded £240 million without tender . Allied rearmament budgets and the NGC2 data-layer role convert political alignment into multi-year obligated spending. This advantage persists while incumbent decision-makers retain it.
Sixty Percent Margins ON NEAR ZERO CapexOperational Efficiency+20%+48%Q2 2026 adjusted operating income of $1.194 billion and adjusted free cash flow of $1.220 billion both cleared 60% margins , a Rule of 40 score management put at 155% . The mechanism is deliberate headcount restraint against forward-deployed leverage, with capex under 1% of revenue. Incremental revenue converts to cash at extraordinary rates, and this structure should hold while deployment automation improves.
Dilution Treadmill Finally SlowingCapital Allocation+9.0%+9.0%Diluted weighted-average shares moved from 2,450.8 million in FY2024 to 2,565.2 million in FY2025, then essentially paused at 2,568.7 million in Q2 2026 . That stall is the most under-appreciated positive in the file: per-share economics now track enterprise economics far more closely. With $9.2 billion in cash and Treasuries and zero debt, interest income further supports earnings while financing costs stay at zero.
Top Frictions / Headwinds

Base-case negative forces

Expected frictions that can slow, cap, or damage this advisor thesis. Base-case means above 70% probability of occurrence. Probabilities are model estimates; unquantified forces retain their published group.

Scroll to view all columns

Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Duration Crushed BY A FIVE Percent TenorMacroeconomic And Macrofinancial-58%+0.0%The evidence chain is blunt: 74.2x trailing sales, 147x EV/EBITDA and a 0.74% trailing free-cash-flow yield, priced against a US 10-year at 4.998% on 2026-09-18 and a Fed median dot of 4.1% for both 2026 and 2027. Bull frameworks explicitly discount 2035 EBITDA , which concedes near-term cash cannot support the price. Every basis point of term premium compresses that multiple mechanically.
THE LAW OF Large Numbers ArrivesSector And Industry-26%-14%Growth of 93% on a $1.94 billion quarterly base cannot repeat; FY2026 guidance of $8.150–8.158 billion sets a comparison base that makes 2027 deceleration arithmetic rather than opinion. Karp himself framed visibility as roughly another 18 months . When reported growth halves toward 40%, the narrative shifts from hypergrowth to premium software, and the multiple the crowd tolerates falls faster than earnings rise.
PLUG AND PLAY Agents Bypass THE IntegratCompetitive Positioning-19%-13%Michael Burry's critique moved past valuation to moat, arguing nimbler agentic vendors bypass Palantir's high-touch integration model . Microsoft's Azure AI stack and ServiceNow's control-tower positioning attack the same budget line . Compounding the exposure, much of the $13.1 billion remaining deal value is characterised as cancellable , and federal contracts carry termination-for-convenience clauses , so backlog is coverage, not commitment.
Insiders SELL Buybacks ARE CosmeticManagement And Governance-13%-9.0%2025 stock-based compensation of roughly $684 million dwarfed $75 million of buybacks , and trailing net buyback yield is a rounding error at +0.01%. Thiel entities sold 2,000,000 shares in March 2026 and Karp sold $86 million in August ; Thiel's stake fell from about 8% to 3% . No open-market insider buying occurred across a 35% drawdown — that absence is the sharper datapoint.

Risks & Opportunities

Top Risks / Downside Scenarios

Lower-probability downside scenarios outside the base-case forecast.

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How to understand these AI forecasts

How does an AI-generated forecast for Palantir Technologies differ from Wall Street analyst consensus?

Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for Palantir Technologies is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.

We believe the era of investment research conducted only by human analysts is drawing to a close. Frontier models increasingly match or exceed expert work on selected professional benchmarks, including evaluations covering financial analysis. Research on multi-model synthesis also shows that combining model responses can improve on a single model's output in the tasks studied.

iPulse AI generates transparent investment research and market forecasts using a swarm of AI configurations, analytical frameworks and frontier models. The workflow applies multiple verification, challenge and synthesis layers, with selective editorial review under Russlan Ramdowar, Editor-in-Chief. Published assumptions, disagreements and past forecasts remain available so readers can inspect the reasoning and audit outcomes.

For a research cycle covering 426 assets with 14 perspectives per asset, our internal workload model estimates approximately 114,000 hours of traditional analyst work. It assumes 16 hours per individual research report, 28 hours per consensus for synthesis and validation, plus shared data preparation. Parallel AI execution allows a deep-analysis cycle across hundreds of assets to complete in up to one day. The human-hours figure is an illustrative workload estimate, rather than measured time savings. Our research methodology explains the automated workflow.

If iPulse AI produces thousands of investment reports - work estimated to require over 100,000 traditional analyst hours - isn't that just "AI slop" at scale?

No. iPulse AI produces AI-generated research at scale, but the purpose is depth of analysis, comparison, and accountability. The number of reports is a consequence of the research process; it is not the goal.

iPulse AI does not produce thin copies of existing websites, articles, or investment reports. We use frontier models as an Analytical Intelligence layer. Our Financial Experts select, validate, curate, and supply the input data, including proprietary inputs, so the models work from a prepared evidence base.

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This explains the volume. The value comes from what we do with the analysis.

A second layer synthesizes the individual reports into an asset-level consensus. This is where we recommend starting when researching a particular asset: it brings together the central thesis, supporting evidence, risks, and disagreements while preserving access to the underlying opinions.

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What do the individual AI forecasts for Palantir Technologies represent?

Each report presents one AI advisor configuration's analysis of Palantir Technologies, including its investment framework, assumptions, forecast path, drivers, and risks. The reports provide different analytical perspectives on the same asset so you can examine the reasoning behind their conclusions.

How are these forecasts different from the AI Consensus?

The individual forecasts show each advisor's reasoning and outlook. The AI Consensus synthesizes those views into an overall assessment of Palantir Technologies. Start with the consensus for an overview, then explore individual reports to understand the strongest supporting arguments, objections, and disagreements.

Are the named AI advisors the actual investors or public figures?

No. They are AI analytical frameworks inspired by publicly documented investment approaches or broader schools of thought. Their reports are generated by AI within the iPulse AI research workflow. The names do not imply participation, endorsement, or a personal forecast from those individuals.

What is the difference between Thinker and Researcher mode?

Thinker mode reasons over the supplied data and context without external web search. Researcher mode can investigate additional external evidence when needed. Being configured as Researcher does not necessarily mean a particular report used web search; consult the report's research details where available.

Why do the AI advisors disagree about Palantir Technologies?

Different frameworks emphasize different evidence and assumptions. One may prioritize valuation, another technological growth, and another macroeconomic or political risk. Disagreement helps identify which assumptions deserve closer investigation. Agreement can also reflect shared inputs or model behavior, so it should not be treated as proof of accuracy.

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The analytical content is updated during deep-analysis batch runs. We run each batch across all covered assets within the same research cycle, providing a consistent basis for comparison, scoring, and ranking. Currently, these batches run every few weeks; our aim is to increase the frequency to once a week.

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Individual forecasts contribute to the asset's consensus and quantitative scoring. Live Rankings compare assets using the published scoring methodology. Editorial Top Picks add a further review of selected candidates, current evidence, investment theses, and risks, followed by human editorial approval. For example, explore our Best Long-Term Investments.

Can I inspect previous forecasts for Palantir Technologies and see what happened?

Forecast History lets you inspect earlier published forecasts, subject to your subscription access. Read each forecast against its original publication date, assumptions, and target dates. As outcomes become observable, those records support evaluation of what worked and what did not. Broader findings and methodological changes appear in Research and Lessons Learned.

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