inTEST Corporation (INTT) Fair Value & Analysis
Technology · US · Market cap $236M
Fair value as of: Jun 24, 2026
Analysis
inTEST Corporation (INTT) currently trades at $17.57, while our model-based Fair Value estimate is $5.52 — implying the stock looks roughly 68.6% 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
inTEST Corporation provides test and process technology solutions for use in Semi, Auto/Electric Vehicle, Defense/Aerospace, Industrial, Life Sciences, Safety/Security, and other markets in the United States and internationally. The company operates through three segments: Electronic Test, Environmental Technologies, and Process Technologies. The Electronic Test segment offers Cobal, and LS series manipulators that hold various test heads and enable an operator to reposition a test head for use with several probers on a test floor; and docking hardware products, which protect the interface contacts and ensure proper repeatable and precise alignment between the test head's interface board and the prober's probing assembly. This segment also provides tester interfaces that offer electrical connections between the tester and the wafer prober or IC handler; scorpion flying probe test systems that designs and manufactures robotics-based electronic test equipment and application support s…
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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.