LSI Industries Inc (LYTS) Fair Value & Analysis
Technology · US · Market cap $850M
Analysis
LSI Industries Inc (LYTS) currently trades at $25.56, while our model-based Fair Value estimate is $12.95 — implying the stock looks roughly 49.3% 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: high).
About the company
LSI Industries Inc. manufactures, markets, and sells non-residential lighting and retail display solutions in the United States. The company operates through Lighting and Display Solutions segments. The Lighting segment offers outdoor and indoor lighting fixture and controls solutions, including sensors, photocontrols, dimming, motion detection, and circuit controllers. The Display Solutions segment provides exterior and interior visual image and display elements, including printed graphics, structural graphics, digital signage, digital menu board systems, refrigerated displays, and custom display elements. It also offers signage and canopy, pump dispenser, building fascia graphics, decals, interior signage and marketing graphics, aisle markers, wall mural graphics, refrigerated food and beverage displays, check-out counters, and an array of merchandising displays and cabinetry. In addition, the company provides various project management services, including installation management,…
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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.