Optical Cable Corporation (OCC) Fair Value & Analysis
Technology · US · Market cap $198M
Fair value as of: Jun 24, 2026
Analysis
Optical Cable Corporation (OCC) currently trades at $19.80, while our model-based Fair Value estimate is $7.33 — implying the stock looks roughly 63.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Optical Cable Corporation, together with its subsidiaries, manufactures and sells fiber optic and copper data communications cabling and connectivity solutions primarily for the enterprise market in the United States and internationally. The company offers fiber optic and hybrid cables for high bandwidth transmission of data, video, and audio communications; and copper datacom cables, including unshielded and shielded twisted pair constructions. Its fiber optic connectivity products include fiber optic wall mounts, cabinet mount and rack mount enclosures, NEMA enclosures, pre-terminated fiber optic enclosures, fiber optic connectors, splice trays, fiber optic jumpers, plug and play cassette modules, pre-terminated fiber optic cable assemblies, adapters, and accessories; and copper connectivity products comprising category compliant patch panels, jacks, plugs, patch cords, faceplates, surface mounted boxes, distribution and multi-media boxes, copper rack mount and wall mount enclosur…
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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.