Team, Inc (TISI) Fair Value & Analysis
Industrials · US · Market cap $77.7M
Fair value as of: Jun 24, 2026
Analysis
Team, Inc (TISI) currently trades at $17.00, while our model-based Fair Value estimate is $27.04 — implying the stock looks roughly 59.1% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
Team, Inc., together with its subsidiaries, provides a suite of conventional, specialized, and proprietary mechanical, heat-treating, and inspection services in the United States, Canada, and internationally. It operates through Inspection and Heat Treating (IHT) and Mechanical Services (MS) segments. The IHT segment offers non-destructive evaluation and testing, radiographic testing, ultrasonic testing, magnetic particle inspection, liquid penetrant inspection, positive material identification, electromagnetic testing, alternating current field measurement, and eddy current testing services. This segment also provides long-range guided ultrasonic, phased array ultrasonic testing, terminals and storage inspection and management program, rope access, mechanical and pipeline integrity, and heat treating services. The MS segment offers leak repair, engineered composite repair, emissions control/compliance, hot tapping, valve insertion, field machining, bolted joint integrity, vapor bar…
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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.