Allegro MicroSystems, Inc (ALGM) Fair Value & Analysis
Technology · US · Market cap $10.0B
Analysis
Allegro MicroSystems, Inc (ALGM) currently trades at $55.52, while our model-based Fair Value estimate is $7.06 — implying the stock looks roughly 87.3% overvalued today. We read business quality at 97/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Allegro MicroSystems, Inc., together with its subsidiaries, designs, develops, manufactures, and markets sensor integrated circuits (ICs) and application-specific power ICs for sensing, motion control, and power management functions of complex electromechanical or power conversion systems. Its products include magnetic sensor ICs, such as position, speed, and electric current sensor ICs; and power ICs comprising motor driver ICs, such as regulator, power management ICs, and LED driver ICs, and isolated gate drivers. The company sells its products to original equipment manufacturers and distributors primarily in the automotive and industrial markets through its direct sales force, third party distributors, independent sales representatives, and consignment. The company serves automotive and industrial markets, including advanced industrial markets such as AI data centers, robotics, and energy infrastructure sectors. It operates in the United States, rest of the Americas, Europe, Japa…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.