Conviction: Medium-High
Status: Entry Zone
Quick Snapshot
| Signal |
Reading |
| Overall |
🟢 AI data platform leader with -18.5% pullback from highs, RSI 23 oversold, fundamentals accelerating |
| Moat |
Narrow (government: Wide via clearances/contracts; commercial: Narrow via AIP differentiation) |
| Key insight |
100% earnings beat rate + 63% YoY growth + US commercial revenue +121% - AIP is inflecting |
Action Matrix
| Action |
Level |
Why |
| Current |
✅ Strong Buy |
Oversold (RSI 23) + -18.5% pullback + bullish leading indicators |
| Entry Zone |
$130 - $150 |
Current pullback range, below recent support |
| Stop-Loss |
$115 (-19%) |
Below Q4 2025 consolidation zone |
| Target |
$200 (+41%) |
Return to recent highs on AIP momentum |
Price Data
| Stock |
Price |
1D |
7D |
30D |
3M |
52wkHi |
RSI |
Status |
Action |
| PLTR |
$141.76 |
-5.4% |
-13.0% |
-18.5% |
-25.7% |
-31.7% |
23↓ |
🟢 Pullback |
✅ Strong Buy |
Legend
- RSI
↓ = Oversold (<30) - potential buying opportunity
- RSI
↑ = Overbought (>70) - FOMO warning, may pullback
- 52wkHi = % from 52-week high (how far below peak)
Company Overview
One-Liner
Data integration and AI platform company that turns messy enterprise data into actionable intelligence for governments and Fortune 500 corporations.
Business Model
| Question |
Answer |
| What they sell |
AI/Data platforms: Gotham (gov), Foundry (enterprise), AIP (AI layer) |
| Who pays |
US Government (~55%), Allied governments, Fortune 500 enterprises (~45%) |
| Revenue model |
Subscription + consumption, multi-year contracts (3-5 year avg) |
| How sticky |
Extremely sticky - becomes the data "nervous system"; 5-10 year implementation value |
| Platform |
Customer |
Purpose |
| Gotham |
Government/Defense |
Intelligence analysis, counter-terrorism, military operations |
| Foundry |
Enterprise |
Data integration, operations management, supply chain |
| AIP |
Both |
AI/LLM deployment on enterprise data - key growth driver |
| Apollo |
Both |
Continuous delivery and deployment infrastructure |
Key Segments
| Segment |
Revenue % |
Growth (Q4 2025) |
Notes |
| US Government |
~40% |
+66% YoY |
$10B Army contract, $448M Navy |
| US Commercial |
~35% |
+121% YoY |
AIP adoption driving acceleration |
| International |
~25% |
+20% YoY |
NATO allies, UK MoD £750M contract |
Company Facts
- Market Cap: $376.3B
- Employees: 4,414
- Founded: 2003
- IPO: September 2020 (direct listing)
- Exchange: NASDAQ (switched from NYSE in 2024)
- Website: https://www.palantir.com
Competitive Analysis
Industry Position
| Question |
Answer |
| Market share |
Leader in gov data platforms; fast-growing challenger in enterprise |
| Market size (TAM) |
$120B+ (data platforms + AI infrastructure) |
| Growth rate |
~25% CAGR for AI data platforms |
| Key competitors |
Snowflake, Databricks, Microsoft Azure Synapse, AWS, Google Cloud |
| Position |
Category creator in gov; differentiated via AIP in commercial |
Competitive Moat
| Moat Type |
Present? |
Evidence |
| Network effects |
🟡 Limited |
Some data network effects within customer orgs |
| Switching costs |
🟢 Strong |
Becomes embedded in operations; 5-10 year implementation value |
| Cost advantages |
🔴 None |
Premium pricing, not cost leader |
| Intangible assets |
🟢 Strong |
Security clearances, gov relationships, Thiel/Karp reputation |
| Efficient scale |
🟢 Growing |
Platform economics improving with AIP; 82% gross margin |
Moat Assessment
Moat Width: Narrow (government is Wide, commercial is Narrow)
Moat Trend: Widening (AIP creating new differentiation vs Snowflake/Databricks)
Summary:
Government moat is durable via security clearances, multi-decade relationships, and irreplaceable institutional knowledge. Commercial moat is emerging - AIP creates differentiation that competitors lack. Main risk is that better-funded cloud providers (AWS, Azure, Google) could catch up, but Palantir has a significant head start in enterprise AI deployment.
Management Assessment
Leadership
| Role |
Name |
Since |
Background |
Notes |
| CEO |
Alex Karp |
2003 (co-founder) |
Stanford JD, Goethe PhD (philosophy) |
Unconventional but effective; 2024 CEO of the Year (Economist) |
| Chairman |
Peter Thiel |
2003 (co-founder) |
PayPal mafia, Founders Fund |
Strategic vision, DC connections, Trump ally |
| COO |
Shyam Sankar |
Long tenure |
Stanford, deep technical |
Operational leader, drives execution |
| CFO |
Dave Glazer |
2022 |
EA, Zillow |
Brought financial discipline |
Founder Involvement
| Question |
Answer |
| Founder-led? |
Yes - Karp is CEO, Thiel is Chairman |
| Founder ownership |
~8% combined (significant dilution over years) |
| Skin in the game |
Yes, but heavy selling via SBC (see Red Flags) |
Capital Allocation
| Metric |
Track Record |
| M&A discipline |
Good - minimal acquisitions, organic growth |
| Buyback timing |
N/A - prioritizing growth, not returning capital |
| R&D investment |
High - continuous platform investment |
| Debt management |
Conservative - net cash position, minimal debt |
Red Flags
- Excessive exec compensation - Karp's SBC is controversial (~$6.8B in 2024, highest-paid CEO in US)
- High turnover in key roles - Generally stable leadership
- Related party transactions - None significant
- Aggressive accounting - No, but SBC distorts GAAP
Management Verdict: Visionary but shareholder-dilutive. Trust the strategy, monitor the SBC.
Financials
Key Metrics
| Metric |
Current |
1Y Ago |
3Y Ago |
Trend |
| Revenue |
$4.48B |
$2.8B |
$1.5B |
📈 Accelerating |
| Revenue Growth YoY |
+63% |
+26% |
+31% |
📈 AIP inflection |
| Gross Margin |
~82% |
~80% |
~78% |
📈 |
| Operating Margin |
~15% (adj) |
~5% |
Negative |
📈 Turning profitable |
| FCF Margin |
~25%+ |
~15% |
~5% |
📈 Strong |
2026 Guidance
| Metric |
Guidance |
vs Consensus |
| FY2026 Revenue |
$7.18B - $7.20B |
Beat ($6.22B expected) |
| Q1 2026 Revenue |
$1.53B - $1.54B |
Beat ($1.32B expected) |
| YoY Growth |
+61% |
Accelerating |
Leading Indicators
| Indicator |
Value |
Signal |
| Revenue Acceleration |
+4.11% (YoY: 63%) |
🟢 Accelerating |
| Earnings Beat Rate |
100% |
🟢🟢 STRONG |
| Insider Trading |
-$4.7B net |
🟡 Neutral (SBC-driven, routine) |
| Composite |
Score: 0.7 |
🟢 Bullish |
Quality Checks
| Check |
Status |
Notes |
| FCF positive? |
🟢 Yes |
~$600M+ annually |
| Profitable? |
🟢 Yes |
GAAP profitable since Q4 2022 (5+ consecutive quarters) |
| Debt manageable? |
🟢 Yes |
Net cash position |
| Cash runway |
∞ |
FCF positive, no burn |
Revenue Quality
| Factor |
Assessment |
| Recurring % |
~95%+ (subscription-based) |
| Customer concentration |
Top 20 customers = ~50%+ |
| Contract length |
3-5 years average |
| NRR/NDR |
~115%+ (land and expand working) |
| Total Contract Value |
$4.3B (Q4), +138% YoY |
Valuation
Current Multiples
| Metric |
Current |
5Y Avg |
Industry Avg |
| P/S |
112x |
~30x |
~10x (SNOW ~15x) |
| EV/Revenue |
78x |
~28x |
~10x |
| P/E (trailing) |
372x |
N/A |
~30x |
| P/E (forward) |
184x |
N/A |
~25x |
| EV/EBITDA |
160x |
N/A |
~20x |
| PEG |
4.07 |
N/A |
~1.5 |
Historical Range
| Metric |
Current |
5Y High |
5Y Low |
% of Range |
| P/S |
~112x |
~137x (2021) |
~7x (2022) |
81% |
| Price |
$141.76 |
$207.52 (Nov 2025) |
$5.92 (Dec 2022) |
67% |
Valuation Assessment
The Bull View: P/S of 112x is justified for:
- 63%+ growth accelerating
- 82%+ gross margins
- Category-defining AI platform (AIP)
- Rule of 40 score >85 (63% growth + 25% FCF margin)
- 100% earnings beat rate
The Bear View: Even great companies can be overvalued:
- SaaS peers trade at 10-20x revenue
- P/S is 98th percentile of software industry
- Growth could decelerate post-AIP hype
- Multiple compression risk is severe (see 2022: -85%)
Fair Value Estimate: $100-140 (if growth sustains) / $60-80 (if growth slows to 20-30%)
Bull Case
Why This Could Work (5 Reasons)
AIP is a game-changer
- Evidence: US commercial revenue +121% YoY after AIP launch; boot camps converting prospects in 5 days
- Implication: Palantir solved the "AI deployment" problem enterprises struggle with
Government moat is durable
- Evidence: $10B Army contract, $448M Navy contract, £750M UK MoD contract
- Implication: 55% of revenue is extremely sticky, multi-year visibility, provides base for commercial bets
100% earnings beat rate
- Evidence: Has beaten every earnings estimate since going public
- Implication: Management under-promises and over-delivers consistently
Rule of 40 score is exceptional
- Evidence: ~63% growth + ~25% FCF margin = ~88
- Implication: Best-in-class efficiency; can justify premium valuation
Pullback entry opportunity
- Evidence: -18.5% from highs, RSI 23 oversold, whole enterprise software sector down
- Implication: Better risk/reward vs. chasing at highs; sector rotation, not PLTR-specific
Upside Scenario
| If This Happens |
Stock Could |
| Commercial sustains 50%+ growth through 2027 |
$250+ (+76%) |
| Major new government contract wins |
$200-220 (+41-55%) |
| Inclusion in more indices / institutional adoption |
$180-200 (+27-41%) |
Bear Case
What Could Go Wrong (5 Risks)
Valuation compression
- How it plays out: Growth slows, market re-rates from 112x to 30x P/S
- Probability: Medium - could happen on any disappointment (see 2022: -85% on rate hikes)
Insider selling pressure
- Evidence: Net insider selling of $4.7B; 99 sells vs 1 buy
- Probability: Medium - routine SBC diversification, but not a bullish signal
Competition catches up
- How it plays out: Snowflake, Databricks, or hyperscalers replicate AIP capabilities
- Probability: Medium - they have resources but not the head start or gov relationships
Government spending cuts
- How it plays out: New administration cuts defense tech spending
- Probability: Low - bipartisan support for defense tech; contracts already signed
AIP is a fad
- How it plays out: Enterprises find cheaper/simpler AI deployment alternatives
- Probability: Low - but possible if open-source catches up
Thesis Killers
- Commercial growth drops below 30% for 2+ quarters (demand inflection breaking)
- Major government contract loss or cancellation
- Karp departure or scandal
- Earnings miss + guide down (execution breaking)
Downside Scenario
| If This Happens |
Stock Could |
| Growth slows to 20-30% |
$60-80 (-44% to -58%) |
| Multiple compresses to 30x P/S |
$40-60 (-58% to -72%) |
| Broad market correction (2022-style) |
$80-100 (-29% to -44%) |
Market-Moving News
Historical (What Moved This Stock Before)
| Date |
Event |
Impact |
Market Reaction |
Lesson |
| Jan 2021 |
Post-IPO + meme stock frenzy |
+300% |
Overreaction |
Retail hype is temporary; stock peaked at $45 |
| 2022 |
Fed rate hikes, growth selloff |
-85% |
Overreaction |
Multiple compression ≠ thesis broken; bottomed at $5.92 |
| Q4 2022 |
First GAAP profitability |
+25% |
Justified |
Profitability unlocks new institutional buyers |
| Sep 2024 |
S&P 500 inclusion |
+14% |
Justified |
Forced index buying; switched to NASDAQ same time |
| 2024 |
AIP launch + commercial acceleration |
+340% |
Mostly justified |
AIP is real, but multiple got stretched |
| Nov 2025 |
Q3 earnings + all-time high $207.52 |
+20% |
Mostly justified |
Peak expectations; valuation extreme |
| Feb 2026 |
Q4 beat + crushed guidance |
-15% 30D |
Overreaction |
Already priced in; expectations too high |
Recent News (Feb 2026)
| Date |
Headline |
Source |
Impact |
Relevance |
| 2026-02-04 |
Broadcom "Uncle Sam of AI" - lists PLTR as non-Mag7 AI disruptor |
Benzinga |
🟢 |
Positive sentiment |
| 2026-02-04 |
Stanley Druckenmiller opens position in AI giants |
Motley Fool |
🟢 |
Smart money interest |
| 2026-02-04 |
Better AI Stock: Nvidia vs Palantir |
Motley Fool |
🟢 |
Analyst comparison favorable |
| 2026-02-04 |
Palantir Price Forecast post-Q4 |
Investing.com |
🟢 |
Valuation discussion |
| 2026-02-03 |
Q4 2025: Revenue +70% YoY, beat estimates |
CNBC |
🟢🟢 |
Fundamentals strong |
| 2026-02-03 |
2026 guidance: $7.2B (61% YoY), beat $6.2B consensus |
BusinessWire |
🟢🟢 |
Crushing expectations |
| 2025-12 |
$448M US Navy shipbuilding contract |
Press |
🟢 |
Government moat intact |
News Patterns
What the market cares about for PLTR:
- Commercial growth rate - AIP adoption is the key narrative; US commercial +121% is the story
- Government contract wins - Validates moat, provides stability and visibility
- Valuation concerns - Any deceleration → severe multiple compression (see 2022)
Overreaction pattern: Stock sold off 18.5% in Q1 2026 despite crushing Q4 earnings and raising guidance 16% above consensus. Market worried about valuation, not fundamentals. This rhymes with 2022 selloff (fundamentals fine, multiple compression) - and 2022 was a massive buying opportunity.
| Symbol |
Name |
Relationship |
30D |
Status |
Notes |
| IGV |
iShares Software ETF |
Contains PLTR + peers |
-18% |
🔴 Bleeding |
Whole sector weak |
| WCLD |
WisdomTree Cloud ETF |
Cloud/SaaS peers |
-18% |
🔴 Bleeding |
Cloud selloff |
| IWP |
iShares Russell Mid-Cap Growth |
Contains PLTR |
-15% |
🔴 Falling |
Growth rotation |
| ARKK |
ARK Innovation |
Contains PLTR (~5%) |
-7% |
🔴 Falling |
Cathie exposure |
| ADPV |
Adaptiv Select ETF |
12.4% PLTR allocation |
-20% |
🔴 Bleeding |
Highest PLTR weight |
| SNOW |
Snowflake |
Data platform competitor |
-15% |
🟢 Pullback |
Similar selloff |
| CRM |
Salesforce |
Enterprise AI peer |
-18% |
🟢 Pullback |
Similar selloff |
| NOW |
ServiceNow |
Enterprise AI peer |
-20% |
🟢 Pullback |
Similar selloff |
Sector Context
The entire enterprise software/AI sector is pulling back (-15% to -20%). PLTR is not being singled out. This suggests:
- Sector rotation out of growth, not PLTR-specific concern
- Rising tide will lift all boats when sentiment shifts
- Better to buy PLTR than sector ETF (higher conviction, better fundamentals)
Cross-References (Where This Appears in Our System)
| Location |
File |
Context |
| Scans |
scans/2026-02-02-ai-scan.md |
-15% pullback, marked "🔍 Research" - quality enterprise AI |
| Scans |
scans/2026-02-03-ai-infrastructure.md |
AI infrastructure context |
| Holdings |
holdings/stocks/2026-02-03-stocks.md |
Currently held, +271% gain, $6,649 value, marked "🔍 Research add" |
| Watchlists |
ai-infra.json |
Core AI infrastructure pick |
| Watchlists |
ai-scan.json |
Broader AI universe scan |
| Watchlists |
holdings-stocks.json |
Current holding |
| Candidates |
candidates/ai-infra/ |
Core AI data platform |
| Theses |
(none yet) |
Could create "Enterprise AIP" thesis |
Discovered during research - tickers that should be tracked in our system.
| Ticker |
Why Related |
Suggested Placement |
Priority |
Notes |
| SNOW |
Data cloud competitor |
candidates/web-cloud/ |
🟢 |
-15% pullback, direct comp |
| CRM |
Enterprise AI (Einstein) |
candidates/cloud-saas/ |
🟢 |
-18% pullback, blue chip |
| NOW |
IT workflow AI |
candidates/cloud-saas/ |
🟢 |
-20% pullback, quality |
| DDOG |
Observability for AI |
Already in web-cloud/ |
🟡 |
Monitor alongside |
| AI |
C3.ai competitor |
scans/ai-scan |
🟡 |
More speculative, -21% |
| BAH |
Booz Allen (gov SI competitor) |
Consider for thesis |
🟡 |
Government comparison |
| LEA |
Lear Corp (supply chain) |
watchlists/watching.json |
🟡 |
Second-order play |
| PANW |
Palo Alto Networks (AI security) |
candidates/ai-infra/ |
🟢 |
Adjacent market |
Catalysts & Timing
Upcoming Catalysts
| Date |
Event |
Impact |
Watch For |
| Q1 2026 |
Earnings |
🟢/🟡 |
US commercial growth rate, AIP metrics, customer count |
| Ongoing |
Government contracts |
🟢 |
Large deal announcements, NATO expansion |
| 2026 |
AIP enterprise rollout |
🟢 |
Customer count growth, deal size expansion |
| 2026 |
Potential Nasdaq-100 inclusion |
🟢 |
More index buying |
Key Dates
| Event |
Frequency |
Next Date |
| Earnings |
Quarterly |
~May 2026 |
| Investor Day |
Annual |
TBD |
Entry Strategy
Position Sizing
| Conviction |
Allocation |
| Speculative |
0% (research only) |
| Low |
1-2% |
| Medium-High |
4-6% |
| High |
7-10% |
Current conviction: Medium-High
Target allocation: 4-5%
Entry Approach
| Strategy |
Details |
| Entry zone |
$130 - $150 (current range) |
| Starter position |
50% of target (2-2.5%) |
| Add on |
Pullback to $115-130 or sustained commercial growth confirmation |
| Full position at |
2 quarters of 50%+ commercial growth + multiple stabilization |
Technical Levels
| Level |
Price |
Notes |
| Current |
$141.76 |
-18.5% from recent high |
| Support 1 |
$135-140 |
Current trading range |
| Support 2 |
$115-120 |
Previous consolidation zone |
| Resistance |
$175-180 |
Recent high area |
| 52-week high |
$207.52 |
Nov 2025 peak |
| 52-week low |
$40 (approx) |
Early 2025 |
Research Sources
Research Log
| Date |
Update |
| 2026-02-03 |
Created initial deep dive. -15% pullback entry. Leading indicators bullish. |
| 2026-02-04 |
Full research refresh. Added: management assessment, valuation multiples, historical news patterns, sector context, ETF exposure, cross-references. Price now -18.5%, RSI 23 oversold. |
The Gold
Key Discoveries
| Discovery |
Implication |
| US Commercial +121% YoY |
AIP is not hype - real demand inflection happening |
| 100% earnings beat rate |
Management consistently under-promises, over-delivers |
| -$4.7B insider selling |
Known risk, SBC-driven, but not a bullish signal |
| P/S 112x (98th percentile) |
Valuation is extreme - any disappointment = pain |
| Entire sector -15-20% |
Not PLTR-specific; sector rotation creates opportunity |
| 2022 precedent: -85% then recovered |
Multiple compression ≠ broken thesis |
| Q4 beat + guidance crush, still sold off |
Market worried about valuation, not fundamentals |
News Pattern Analysis
| Pattern |
What Happened |
Lesson for PLTR |
| 2022 growth selloff |
Down 85% on rates, recovered |
Multiple compression ≠ broken thesis |
| 2024 AIP launch |
+340% annual gain |
AIP is real transformation |
| Feb 2026 post-earnings |
Crushed earnings, still -18% |
Expectations sky-high; valuation is the debate |
Key insight: PLTR tends to overreact to sentiment. The 2022 -85% decline was a massive buying opportunity. This -18% pullback on strong fundamentals may be similar. Buy on valuation-driven selloffs, not momentum chasing.
Conviction Path
| To Increase Conviction |
To Decrease Conviction |
| 2+ quarters of 50%+ commercial growth |
Commercial growth < 30% |
| Major enterprise customer wins |
Key customer churn |
| SBC reduction |
More dilution |
| Pullback to $115-130 |
Run to $200 without fundamentals |
| Multiple expansion in sector |
Sustained sector weakness |
Sources: stonks (price_data, leading_indicators), Massive API (company, news), Tavily (research), Web search (history, management, valuation, ETFs)
Cross-references: scans/2026-02-02-ai-scan.md, holdings/stocks/2026-02-03-stocks.md, watchlists/ai-infra.json
Generated: 2026-02-04