Brother Industries, Ltd (BRTHY) Fair Value & Analysis
Industrials · US · Market cap $5.6B
Fair value as of: Jun 24, 2026
Analysis
Brother Industries, Ltd (BRTHY) currently trades at $45.50, while our model-based Fair Value estimate is $75.34 — implying the stock looks roughly 65.6% undervalued today. We read business quality at 96/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Brother Industries, Ltd., together with its subsidiaries, manufactures and sells communications and printing equipment in Japan, the United States, China, and internationally. It operates through Printing & Solutions, Machinery, Domino, Nissei, Personal & Home, Network & Contents, and Other segments. The Printing & Solutions segment offers black-and-white and color laser all-in-one printers; inkjet printers; scanners; labeling systems; and label and mobile printers. Its Machinery segment provides industrial sewing machines, machine tools, and garment and wide-format printers. The Domino segment offers coding and marking equipment, and digital printing equipment. Its Nissei segment provides gearmotors, high stiffness reducers, and high precision reducers for servo motors; and hypoid, bevel, double/spur, and input gears, as well as leases real estate properties. The Personal & Home segment provides sewing and home cutting machines, sewing and embroidery machines, sublimation printers,…
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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.