KLA Corporation
KLAC scores 70.3 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.
Minor adjustments (-2.2 points) applied. KLAC's rank of #97 primarily reflects its factor profile relative to the conservative weight vector.
These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.
| Stock | Score | P/E | Rev Growth | Margin | Mkt Cap |
|---|---|---|---|---|---|
| KLAC | 70.3 | 42.5 | 23.9% | 33.4% | $192.4B |
| MPWR | 84.8 | 91.7 | 21.2% | 81.0% | $57.1B |
| ZM | 84.2 | 18.0 | 3.1% | 21.7% | $27.7B |
| NVDA | 80.6 | 45.2 | 114.2% | 55.8% | $4.5T |
| CRUS | 79.7 | 19.1 | 6.0% | 17.5% | $7.4B |
| ASML | 77.8 | 48.1 | 15.6% | 29.4% | $546.0B |
| IDCC | 77.4 | 31.8 | -4.0% | 48.8% | $9.7B |
| CSCO | 77.1 | 27.6 | 5.3% | 18.0% | $303.6B |
| RMBS | 75.5 | 48.3 | 20.7% | 32.3% | $11.0B |
| DBX | 75.3 | 13.9 | 1.9% | 17.7% | $6.4B |
| FSLR | 75.0 | 17.3 | 26.7% | 30.7% | $24.2B |
| SIMO | 74.7 | 9.2 | 10.2% | 13.8% | $4.5B |
| ADI | 74.3 | 74.1 | 16.9% | 20.6% | $165.1B |
| AAPL | 72.5 | 33.1 | 6.4% | 27.0% | $3.9T |
| OLED | 72.5 | 27.0 | 12.4% | 34.3% | $5.9B |
| AMAT | 72.3 | 36.4 | 4.4% | 24.7% | $281.7B |
| Sector Average | 47.4 | 87.8 | 14.8% | -110.0% | â |
KLA Corporation designs, manufactures, and markets process control, process-enabling, and yield management solutions for the semiconductor and related electronics industries worldwide. It operates through four segments: Semiconductor Process Control; Specialty Semiconductor Process; PCB, Display and Component Inspection; and Other. The company offers integrated circuit (IC) manufacturing products that comprises wafer inspection and review, and metrology; wafer and substrate defect inspection and metrology; reticle defect inspection and metrology; chemical/materials quality analysis; in situ process management and wafer handling diagnostics for IC and original equipment manufacturer (OEM) manufacturing; software products to provide run-time process control, defect excursion identification, process corrections, and defect classification; and refurbished and remanufactured products. It also provides specialty semiconductor manufacturing, benchtop metrology, surface characterization, and electrical property measurement services for general purpose/ lab applications; etch, plasma dicing, deposition, and other wafer processing technologies and solutions for the semiconductor and microelectronics industry. In addition, the company offers direct imaging, inspection, optical shaping, additive printing, and computer-aided manufacturing and engineering solutions for the PCB market; inspection and electrical testing systems to identify and classify defects, as well as systems to repair defects for the display market; and inspection and metrology systems for quality control and yield improvement in advanced and traditional semiconductor packaging markets. The company was formerly known as KLA-Tencor Corporation and changed its name to KLA Corporation in July 2019. KLA Corporation was incorporated in 1975 and is headquartered in Milpitas, California.
Stock is in an uptrend above the 200-day moving average. This is the stage where institutional accumulation typically occurs. The 50-day SMA provides support.
| Metric | Q2 2025 | Q1 2025 | Q4 2025 | Q3 2025 |
|---|---|---|---|---|
| Revenue | $3.3B | $3.2B | $3.2B | $3.1B |
| Gross Profit | $2.0B | $2.0B | $2.0B | $1.9B |
| Operating Income | $1.4B | $1.3B | $1.4B | $1.3B |
| Net Income | $1.1B | $1.1B | $1.2B | $1.1B |
| EPS (Diluted) | $8.68 | $8.47 | $9.06 | $8.16 |
| Gross Margin | 61.4% | 61.3% | 63.2% | 61.6% |
| Operating Margin | 41.3% | 41.7% | 44.2% | 42.5% |
| Net Margin | 34.7% | 34.9% | 37.9% | 35.5% |
Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.