Canon Inc (CAJPY) Fair Value & Analysis
Technology · US · Market cap $23.3B
Analysis
Canon Inc (CAJPY) currently trades at $26.11, while our model-based Fair Value estimate is $44.23 — implying the stock looks roughly 69.4% undervalued today. We read business quality at 88/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Canon Inc., together with its subsidiaries, develops, produces, sells, and services various printing, medical, imaging, and industrial equipment in Japan, the Americas, Europe, Asia, and Oceania. It operates through four segments: Printing Business Unit, Medical Business Unit, Imaging Business Unit, and Industrial Business Unit. The company offers digital continuous-feed and cut-sheet, large-format, and document and laser multifunction printers, as well as office multifunction devices, laser image scanners, calculators, and document solutions; and CT and ultrasound diagnostic scanners, x-ray diagnostic and MRI equipment, digital radiography, ophthalmology equipment, in-vitro diagnostic systems and reagents, and healthcare IT solutions. It also provides interchangeable lens and compact digital cameras, lenses, compact photo printers, MR systems, network cameras, digital cinema and video cameras, and broadcasting equipment, as well as video management and image analysis software; and …
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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.