SIIX Corporation (SIIXF) Fair Value & Analysis
Technology · US · Market cap $323M
Fair value as of: Jun 25, 2026
Analysis
SIIX Corporation (SIIXF) currently trades at $6.85, while our model-based Fair Value estimate is $9.16 — implying the stock looks roughly 33.7% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
SIIX Corporation primarily sells and distributes electronic components in Japan, China, the rest of Asia, Europe, and the Americas. The company offers automotive electronic components, such as automotive exteriors, meters, ECU, switches, quasi-millimeter wave radars, ABS, cameras, battery sensors, car multimedia, etc., as well as industrial equipment, such as engine ignition devices for power tools, battery packs, aircraft-borne electronic devices, inverters, medical devices, smart meters, industrial sewing machines, etc. It also provides home appliances, such as digital appliances, air conditioners, refrigerators, educational toys, healthcare equipment, electronic musical instruments, etc.; information devices, including office equipment, OA equipment, projectors, etc.; and automobile wire harness, motorcycles, inks, and other electronic components, etc. In addition, the company is involved in plastic molding and die manufacturing, and circuit board mounting, as well as provision o…
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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.