Inaba Denki Sangyo Co (IBADF) Fair Value & Analysis
Industrials · US · Market cap $2.0B
Analysis
Inaba Denki Sangyo Co (IBADF) currently trades at $17.81, while our model-based Fair Value estimate is $21.79 — implying the stock looks roughly 22.3% undervalued today. We read business quality at 95/100 (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
Inaba Denki Sangyo Co.,Ltd., together with its subsidiaries, sells electrical equipment and materials, industrial automation, and proprietary products in Japan and internationally. It supplies a range of products, including light fitting; air conditioning systems; distribution panels; other electric equipment, such as power sockets and wiring accessories; other electrical materials for buildings comprising houses, office buildings, and public facilities; and environmentally friendly products, which include solar photovoltaic systems and LED light fittings, as well as plans and sells JAPPY brand products. The company also offers sensors; switches; relays; other control units; combinations of LCD devices; connectors; condensers; and other electrical components. In addition, it develops pipe covers, insulated copper tubes, and other products for air conditioners under the INABA DENKO brand; multimedia-compatible wiring systems for newly built digital age residences under the ABANIACT b…
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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.