Standex International Corporation (SXI) Fair Value & Analysis
Industrials · US · Market cap $3.6B
Analysis
Standex International Corporation (SXI) currently trades at $316.09, while our model-based Fair Value estimate is $56.19 — implying the stock looks roughly 82.2% overvalued today. We read business quality at 93/100 (high quality), in the Industrials 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
Standex International Corporation manufactures and sells products and services for commercial and industrial markets in the United States and internationally. It operates through Electronics, Engineering Technologies, Scientific, Engraving, and Specialty Solutions segments. The company offers reed relays, fluid level, proximity, motion, flow, HVAC condensate, custom electronic and current sensors, instrument transformers, wound transformers, bushings, inductors, current sense and planar transformer technology, value added assemblies, mechanical packaging applications under the Standex Electronics, Standex-Meder Electronics, Renco Electronics, Northlake Engineering, Agile Magnetics, Sensor Solutions, Standex Electronics Japan, Minntronix, Nascentechnology, Sanyu, Amran Instruments, and Narayan Powertech brands. It also provides mold texturizing, slush molding tools, project management and design services, roll engraving, hygiene product tooling, low observation vents for stealth airc…
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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.