Rion Co (RIOXF) Fair Value & Analysis
Healthcare · US · Market cap $180M
Fair value as of: Jun 24, 2026
Analysis
Rion Co (RIOXF) currently trades at $14.63, while our model-based Fair Value estimate is $26.20 — implying the stock looks roughly 79.1% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Rion Co., Ltd. develops, manufactures, sells, and services particle counters, medical equipment, and environmental equipment in Japan. The company's audiological equipment includes hearing instruments, such as analog and digital BTE, trimmer digital BTE, in-the-ear ready and custom-made, and analog body aid instruments, as well as wireless and waterproof hearing instruments; and medical equipment comprising audiometers and OAE screeners. Its sound and vibration measuring instruments include sound level meters, vibration meters, seismometers, frequency analyzers, microphones and recorders, and other products. The company's particle counters comprise air and liquid-borne particle counters, and viable particle counters. Its products are primarily used in the applications of environment-related administration, electronics, semiconductors, pharmaceutical, and food manufacturing industries. The company was formerly known as Kobayashi-Riken Seisakusho Ltd. and changed its name to Rion Co.,…
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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.