Fuel Tech, Inc (FTEK) Fair Value & Analysis
Industrials · US · Market cap $48.0M
Fair value as of: Jun 24, 2026
Analysis
Fuel Tech, Inc (FTEK) currently trades at $1.99, while our model-based Fair Value estimate is $2.19 — implying the stock looks roughly 10.1% 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: medium) — always confirm before acting.
About the company
Fuel Tech, Inc. engages in the development, commercialization, and application of technologies for air pollution control, process optimization, water treatment, and advanced engineering services to utility and industrial customers in the United States, rest of the Americas, Europe, South Africa, the Pacific Rim, and internationally. The Air Pollution Control Technology segment offers technologies to reduce nitrogen oxide emissions (NOx) in flue gas from boilers, incinerators, furnaces, and other stationary combustion sources; NOxOUT selected non-catalytic reduction and selected catalytic reduction systems, including ammonia injection grid and graduated straightening grid systems; electrostatic precipitator processes and services; ULTRA technology; urea direct injection systems; and flue gas conditioning systems. Its FUEL CHEM Technology segment provides chemical injection programs to improve the efficiency, reliability, fuel flexibility, boiler heat rate, and environmental status of…
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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.