TIC Solutions, Inc (TIC) Fair Value & Analysis
Industrials · US · Market cap $1.8B
Analysis
TIC Solutions, Inc (TIC) currently trades at $8.17, while our model-based Fair Value estimate is $5.23 — implying the stock looks roughly 36.0% overvalued today. We read business quality at 91/100 (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: medium).
About the company
TIC Solutions, Inc. provides critical asset integrity services in North America. The company offers testing, inspection, certification, and compliance (TICC) services, including various nondestructive testing (NDT) techniques, such as radiography, ultrasonic testing, magnetic particle inspection, penetrant testing, and visual inspection. Its NDT activities include inspection and evaluation of industrial equipment through various technology-enabled methods to ensure asset integrity, prevent costly outages, failures, and accidents, and meet regulatory requirements without damaging the asset or component. It also provides market rope access technician solutions, including inspection and testing, as well as insulation, coatings and blasting, welding, pipe fitting, hoisting and rigging, and electrical services. In addition, its TICC services include support from consulting engineers with destructive testing, support failure investigation, material selection, corrosion engineering, weldin…
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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.