OSI Systems, Inc (OSIS) Fair Value & Analysis
Technology · US · Market cap $3.5B
Analysis
OSI Systems, Inc (OSIS) currently trades at $215.66, while our model-based Fair Value estimate is $122.98 — implying the stock looks roughly 43.0% overvalued today. We read business quality at 95/100 (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
OSI Systems, Inc. designs and manufactures electronic systems and components in the United States and internationally. It operates in three segments: Security, Healthcare, and Optoelectronics and Manufacturing. The company offers baggage and parcel inspection, cargo and vehicle inspection, hold baggage and people screening, radiation monitoring, explosive and narcotics trace detection systems, and optical inspection systems, and radio frequency (RF) equipment under the Rapiscan name. It also provides site design, installation, training, and technical support services; and turnkey security screening solutions under the S2 name. In addition, the company offers patient monitoring, cardiology and remote monitoring, and connected care systems and accessories under the Spacelabs name for use in critical care, emergency, and perioperative areas within hospitals, physicians' offices, medical clinics, and ambulatory surgery centers. Further, it provides optoelectronic devices and flex circui…
Open the full interactive analysis →
Similar stocks
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.