AMAT — Applied Materials, Inc.
Fundamentals Score: 72.1/100 (Good Fundamentals) · Technology
Applied Materials, Inc. engages in provision of materials engineering solutions used to produce semiconductors. The firm also focuses on design, development, production, and servicing of the critical wafer fabrication tools used for customers to manufacture semiconductors.
Score Breakdown
Live Market DataPrice updated: 1d ago
AI Deep-Dive Analysis
Analysis as of 2026-08-27 - price/technical figures below reflect that date, not live market dataAs of 2026-08-27, Applied Materials trades at $482.36, roughly 35% below its June 2026 high of $739.67 despite posting record Q3 FY26 revenue of $9.12B and guiding Q4 FY26 revenue to $10.25B. The business is accelerating, but the stock remains priced at a premium to its own history.
The post-earnings reaction was negative: AMAT sold off from $739.67 to the $482 area even though Q3 FY26 revenue/EPS beat consensus and Q4 guidance ($10.25B revenue, $4.02 non-GAAP EPS) came in well above Street estimates. Sell-side sentiment remains bullish, with a Buy consensus and an average target near $673, but short-term market sentiment is cautious given the stock's still-rich ~38x forward multiple and broader tech valuation compression.
Revenue has inflected sharply higher: Q3 FY26 revenue of $9.115B was up 24.8% YoY, and Q4 guidance of $10.25B implies roughly 50.7% YoY growth against a weak Q4 FY25 base. Operating margins are expanding in sequence, from ~30.6% in Q3 FY25 to ~33.7% in Q3 FY26, with non-GAAP gross margin above 50%. The one blemish is Q2 FY26 free cash flow, where OCF was only $845M against net income of $2.806B, but Q3 OCF rebounded to $3.037B, suggesting working-capital noise rather than a structural profit-quality problem. This is an acceleration, not a one-quarter blip.
Expensive. As of 2026-08-27, TTM P/E is 41.3x, forward P/E is roughly 37.6x using the consensus next-FY EPS estimate of $12.82, and P/S is 12.4x versus the 5-year average of 5.0x. P/B is 14.9x, and the dividend yield is just 0.4%. The PEG ratio of 1.08 looks reasonable only if you assume sustained high-20s/30s EPS growth; against a more normalized growth rate, the stock is still priced for a very strong AI-capital-equipment cycle.
At $482.36, the market is pricing in continued AI-driven semiconductor equipment growth rather than a cyclical downturn. If Q4 FY26 guidance annualizes to an EPS run-rate near $16, the current multiple becomes less extreme, but that assumes the supercycle holds into FY2027. The stock is trading well below the $673 average analyst target, so it is discounting some of the Street's optimism, but it is not priced as a value stock—it is priced for earnings to keep delivering.
As of 2026-08-27, RSI(14) is 41.67, price is 6.1% below the 20-day SMA, 12.9% below the 50-day SMA, and 20.5% above the 200-day SMA. That is a short-term downtrend within a longer-term uptrend, not an oversold bounce setup. A reclaim of the 20-day/50-day zone would signal stabilization; the 200-day SMA is the major support level to watch.
- Hyperscaler AI capex is the dominant demand driver; any pause or digestion period in AI infrastructure spending would hit AMAT hard.
- Semiconductor capital equipment is inherently cyclical; memory/logic fab utilization and clean-room capacity constraints drive near-term order timing.
- Export controls and China policy remain an overhang; China revenue concentration can be reset by regulation or normalization.
- Interest rates and equity multiple compression disproportionately affect high-beta, high-multiple technology names like AMAT.
- The structural shift to GAA transistors, HBM, and advanced packaging is raising content per wafer and extending the upcycle.
- Q4 FY26 earnings in mid-November 2026: whether actual revenue and gross margin deliver on the $10.25B revenue and 50%+ gross margin guidance.
- 2027 capex guidance from TSMC, Samsung, and Intel at industry conferences/investor days, plus updates on AMAT's expected >70% packaging revenue growth in 2026.
- Any clarity or relaxation on China export-control rules, and continued advanced packaging/HBM order announcements.
- Valuation re-rating risk: at 41x TTM P/E and 12.4x sales versus 5-year averages of 19.5x and 5.0x, multiple compression could offset otherwise strong earnings growth.
- China/geopolitical restrictions: tightening export controls or a faster-than-expected normalization of China revenue could dent growth.
- Cyclical demand air-pocket: AI capex is lumpy; if hyperscalers pause or memory customers pull forward orders, the growth inflection could reverse quickly.
- Customer concentration and competition: reliance on TSMC, Samsung, and Intel, plus competitive pressure in etch/deposition/advanced packaging.
Applied Materials is a high-quality semiconductor-equipment leader with accelerating revenue, expanding margins, and a clean balance sheet, and it is well positioned for the AI-driven advanced-packaging/GAA cycle. But after the huge run and even after the pullback, the stock is still expensive on absolute and historical valuation measures, so it is more of an accumulate-on-weakness franchise than a clear bargain today.
I applied a 35x forward P/E to an estimated FY2027 GAAP EPS of roughly $15.30, derived from the Q4 FY26 earnings run-rate with ~15% revenue growth and operating leverage. The 35x multiple is a premium to AMAT's 19.5x 5-year average P/E, justified by its high ROIC, margins, and AI exposure, but it is below the current ~38x forward multiple to leave room for cyclical risk.
AI Review of the Deterministic Score
The deterministic score of 72.1 and 'Good Fundamentals' band is a fair read. Trailing growth is genuinely strong, operating margins are expanding, and financial health is solid. I would nudge the score slightly higher than the formula's output because the live research brief points to forward visibility from AI packaging and GAA that a purely backward-looking model cannot see, but the rich valuation and cyclical sensitivity keep me from moving it up a full tier. Net, the score is close to what an independent qualitative read would produce.
AI-generated analysis for informational purposes only, not financial advice.