Kewaunee Scientific Corporation (KEQU) Fair Value & Analysis
Consumer Cyclical · US · Market cap $108M
Fair value as of: Jun 25, 2026
Analysis
Kewaunee Scientific Corporation (KEQU) currently trades at $34.00, while our model-based Fair Value estimate is $67.64 — implying the stock looks roughly 98.9% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
Kewaunee Scientific Corporation designs, manufactures, and installs laboratory, healthcare, and technical furniture and infrastructure products. The company operates through two segments: Domestic and International. Its products include steel and wood casework, fume hoods, adaptable modular systems, moveable workstations, stand-alone benches, biological safety cabinets, and epoxy resin work surfaces and sinks. The company's laboratory products are used in chemistry, physics, biology, and other general science laboratories in the pharmaceutical, biotechnology, industrial, chemical, commercial, educational, government, and health care markets; and technical products are used in facilities manufacturing computers and light electronics and by users of computer and networking furniture. It sells its products through dealers, its subsidiaries, and a national stocking distributor. The company was founded in 1906 and is headquartered in Statesville, North Carolina.
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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.