Lian Loo @Chongloo: "$PLTR Earnings Analysis! Valuation Update!..."

Singapore

$PLTR (Palantir Technologies Inc.) Earnings Analysis! Valuation Update! + Will AI Threaten Palantir? Today let’s revisit $PLTR’s latest earnings, refresh the fundamentals, and reassess valuation. The stock has pulled back from its highs, fundamentals have improved, and valuation has compressed meaningfully. With software stocks broadly under pressure, this is a good time to update the thesis. Earnings Breakdown In Q4, Palantir Technologies reported: Revenue: $1.41B (+70% YoY), beating estimates of $1.33B EPS: $0.25, beating expectations of $0.23 But the real highlight was guidance. Q1 revenue guidance: $1.534B (+74% YoY), ~16% above expectations FY2026 revenue guidance: $7.19B (+61% YoY), well above the $6.22B consensus Management typically guides conservatively, which makes this even stronger. After earnings, analysts raised 2026 revenue estimates by 15% and EPS estimates by 30%. Valuation Reset If we assume: ~50% average EPS CAGR over the next 3 years Current forward P/E around 97x The PEG ratio drops from 4.6 previously to ~1.94. If we’re more conservative: Assume only 30% CAGR post-2027 70x forward P/E in 2027 PEG would be around 2.3. At 35% growth, PEG falls to ~2. That’s still expensive — but no longer “extremely expensive.” More like “premium-priced.” For comparison, the broader software sector now trades around 1.5–1.6 PEG, so relative to peers, $PLTR still carries a premium. However, continued earnings beats + sideways price consolidation could allow valuation to digest faster than expected. If $PLTR pulls back below $100, risk/reward becomes much more attractive. A move toward $98 support would offer better margin of safety for initiating a starter position. Why $PLTR Benefits From AI Many assume the biggest AI winners will be model builders. But historically, enterprises didn’t lack models — they lacked usable data infrastructure. Before AI’s explosion, companies struggled with: Fragmented systems Inconsistent data formats Broken permissions Siloed databases When large language models emerged, the issue shifted: Models became powerful — but enterprise data wasn’t accessible or structured enough to integrate with them. AI commercialization isn’t limited by model intelligence — it’s limited by data readiness. AI needs: Clean data Unified systems Traceability Governance Compliance controls This is exactly where Palantir has spent 15 years building capabilities. The real turning point came with AIP (Artificial Intelligence Platform) — which connects large models directly into real enterprise systems. It doesn’t just generate answers; it integrates AI into operational workflows. That’s when AI shifts from “analysis tool” to “execution engine.” And that’s when ROI becomes structural. Will AI Replace $PLTR? No. Large models can analyze and generate — but they cannot: Architect enterprise-grade data infrastructure Build compliance-grade permission frameworks Meet defense or financial regulatory standards by default AI is the engine. Palantir is the operating system. Engines evolve. Operating systems remain foundational. Real Competitive Risks The real threats are: Hyperscalers building similar integrated platforms Data integration becoming commoditized Enterprises improving internal capabilities For example: Microsoft embedding Copilot deeply into Azure Amazon bundling AI with data lakes Snowflake strengthening its AI-native data layer If hyperscalers turn data + AI execution into infrastructure-level services, Palantir’s pricing power could compress over time. That said, Palantir remains deeply embedded in high-compliance sectors — defense, government, energy — where switching costs are massive. The bigger question: Will future customers choose hyperscaler ecosystems first, rather than standalone platforms like Palantir? That’s not just a Palantir issue — it’s a broader SaaS sector risk. Bottom Line AI will not replace $PLTR. But AI will intensify platform competition over time. Near term: Earnings momentum remains strong AI tailwinds are real 2026 EPS growth could exceed 80% Long term: Valuation remains elevated Compression risk exists if macro weakens Hyperscaler competition must be monitored If $PLTR tests $98, that’s where risk/reward starts becoming compelling for a starter position. The company is executing. The fundamentals are strong. The only debate left is price. Trade smart. Stay disciplined. Let’s keep compounding. $SPX500 $NSDQ100 $TSLA (Tesla Motors, Inc.) $NVDA (NVIDIA Corporation) $AMD (Advanced Micro Devices Inc)

Not investment advice. The author may have financial interests in the mentioned instruments.