Hi-Lex Corporation (HLXFF) Fair Value & Analysis
Industrials · US · Market cap $289M
Fair value as of: Jun 26, 2026
Analysis
Hi-Lex Corporation (HLXFF) currently trades at $17.13, while our model-based Fair Value estimate is $24.01 — implying the stock looks roughly 40.2% 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
Hi-Lex Corporation operates in the automotive, industrial equipment, and medical equipment sectors in Japan and internationally. The company provides system products, such as power lift gates, wheelchair anchoring systems, and electronic parking systems; door systems comprising door modules and window regulators; cables, such as push-pull cables, pull cables, SPIRAX, and actuators; and ECU electronic control products. It also offers products in the construction equipment field, including accelerator actuators; housing equipment field products comprising dampers for system air conditioners, elevated grilles, operator units for high windows, and drain valve cables; marine vessel field products, such as operation boxes; and nursing care field products that include bath assist products. In addition, the company provides medical equipment field products, such as microcatheters and vasular grafts for hemodialysis. The company was incorporated in 1946 and is headquartered in Takarazuka, Ja…
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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.